HGS MathComp Curriculum & Events
9:00 - 13:00
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The latest information and a registration link are available on the course website (log in with Uni-ID).
HGS MathComp fellows can get a reimbursement of the course fees. Please submit your proof of payment and certificate of participation to hgs@iwr.uni-heidelberg.de.
Content & Method:
The training is offered as blended learning that combines a self-study module and a live online workshop. All participants get 12 month access to all materials.
Location: Mathematikon • Seminar Room 10, 5th Floor • Im Neuenheimer Feld 205, 69120 Heidelberg
Registration: Please register via this form
Organizer: Scientific Software Center (SSC)
The latest information and a registration link are available on the course website.
Basic Python knowledge and a laptop is required. Experience with writing tests is not required.
Summary:
An automated test suite makes it much easier to maintain, extend and debug your Python code. In this course we will learn how to write automated tests in Python using the pytest library. After introducing the key concepts, the majority of the course will be hands-on, writing and running tests.
Learning Objectives
After the course participants should be able to:
- Install and run pytest
- Write simple tests
- Use temporary files in tests
- Use fixtures to manage resources
- Parametrize tests
- Add an automated test suite to their existing python projects
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Registration: Please register on the event website
Organizer: University of Copenhagen
This summer school is part of Flagship 3 of the 4EU+ European University Alliance, a close partner of HGS MathComp. Please contact us for funding options through 4EU+ and HGS MathComp.
The goals of the course are
- to introduce and discuss the recent developments of extreme value theory in the time series context. The main focus will be on heavy-tail phenomena, where extremes are particularly severe, and clustering effects when extremes appear in clumps,
- to provide suitable statistical tools for analyzing the aforementioned phenomena,
- to provide relevant knowledge to graduate students about extreme behavior of random systems in contrast to their average behavior,
- to learn about applications of extreme value theory from top experts in the field.
The latest information and a registration link are available on the course website (log in with Uni-ID).
HGS MathComp fellows can get a reimbursement of the course fees. Please submit your proof of payment and certificate of participation to hgs@iwr.uni-heidelberg.de.
9:30 - 17:00
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The latest information and a registration link are available on the course website (log in with Uni-ID).
HGS MathComp fellows can get a reimbursement of the course fees. Please submit your proof of payment and certificate of participation to hgs@iwr.uni-heidelberg.de.
During the workshop, participants work with their own texts as well as with examples from their own disciplines that they bring along and consider to be particularly well written. They discuss features of good scientific papers and are equipped to use adequate language in different genres and for different audiences. In addition, they receive peer feedback on their own drafts. All exercises empower them to produce clearer, and more correct, concise, and reader-oriented papers.
Registration: Please register on the event website
Organizer: Graduate Academy
The latest information and a registration link are available on the course website (log in with Uni-ID).
HGS MathComp fellows can get a reimbursement of the course fees. Please submit your proof of payment and certificate of participation to hgs@iwr.uni-heidelberg.de.
Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205, 69120 Heidelberg
Registration: Please register via this form
Organizer: HGS MathComp
22.01.2024 • 09:00 - 17:00
23.01.2024 • 09:00 - 16:30
29.02.2024 • 14:00 - 18:00
This seminar will help you to make the most effective use of your three years and finish your doctoral thesis on time.
You will also learn and practice the basic concepts of project management – a prerequisite in industries and research institutions.
This seminar demonstrates how to approach the doctoral thesis in a professional way. Project management tools and techniques are used, tailored to the specific situation of PhD students. You will learn how to set a project vision, define clear objectives, gain buy-in from your supervisor and other colleagues in your group, and how to develop a project plan, which is structured and at the same time flexible enough to easily adjust to unexpected findings. You will establish a "controlling cycle" which helps you to recognize risks and problems as early as possible, and you will learn how to manage critical situations and deal with ups and downs. Furthermore, networking with colleagues, supervisors and other people are important topics of this seminar.
Throughout the seminar, you will work on your own doctoral thesis and share your experience with others. This seminar is most beneficial for PhD students who are in the early phases of their doctoral thesis. At the end of the seminar you will have established a strategy on how to approach your own doctoral thesis. During the follow-up REVIEW we will share experience and best practices and deal with open questions from the first module.
This seminar will help you to make the most effective use of your three years and finish your doctoral thesis on time.
You will also learn and practice the basic concepts of project management – a prerequisite in industries and research institutions. Working as a PhD student you have the challenging task of developing research findings and write you doctoral thesis within three years. This alone is a demanding job. In addition, it is vital to the scientific process that your findings are presented to the scientific community. For most PhD students this is the first big project in their professional life and it could have a crucial impact on their future professional career. PhD students are highly motivated when they start their PhD studies but may underestimate the need for professional management for this three-year project "doctoral thesis".
This seminar demonstrates how to approach the doctoral thesis in a professional way. Project management tools and techniques are used, tailored to the specific situation of PhD students. You will learn how to set a project vision, define clear objectives, gain buy-in from your supervisor and other colleagues in your group, and how to develop a project plan, which is structured and at the same time flexible enough to easily adjust to unexpected findings. You will establish a "controlling cycle" which helps you to recognize risks and problems as early as possible, and you will learn how to manage critical situations and deal with ups and downs. Furthermore, networking with colleagues, supervisors and other people are important topics of this seminar.
Throughout the seminar, you will work on your own doctoral thesis and share your experience with others. This seminar is most beneficial for PhD students who are in the early phases of their doctoral thesis. At the end of the seminar you will have established a strategy on how to approach your own doctoral thesis. During the follow-up REVIEW we will share experience and best practices and deal with open questions from the first module.
This seminar will help you to make the most effective use of your three years and finish your doctoral thesis on time.
You will also learn and practice the basic concepts of project management – a prerequisite in industries and research institutions.
Location: Mathematikon • Seminar Room 10, 5th Floor • Im Neuenheimer Feld 205, 69120 Heidelberg
Registration: Please register via this form
Organizer: Scientific Software Center (SSC)
The latest information and a registration link are available on the course website.
Experience or interest in publishing your Python code and a laptop is required.
Summary:
In this course we will learn how to package a Python library, how to publish it on PyPI and on conda-forge, as well as look at more advanced topics like building pre-compiled wheels including c++ extensions using pybind11, and automatically publishing new releases using continuous integration and cibuildwheel.
Learning Objectives
After the course participants should be able to:
- Create a modern pyproject.toml Python package
- Publish this package to PyPI
- Set up continuous integration to automatically publish to PyPI
- Understand the basics of conda-forge publishing
- Create binary wheels including c++ pybind11 extensions
Organizer: HGS MathComp
More information and a detailed program will be available in the upcoming months.
Past Events
Hacktoberfest is a global event that is sponsored by DigitalOcean, AppWrite, Docker and many other companies. It encourages participants to contribute to open source projects and in exchange receive digital rewards and a planted tree. In Heidelberg we offer this kick-off event, to get everyone prepared and into the mood of Hacktober.
More information and a detailed program will follow soon!
9:30 - 17:00
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Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Registration: Please register via this form
Prerequisites:
Participants are expected to have knowledge of basic statistics corresponding to a one-semester course. They are also expected to have at least basic experience with the R program.
No experience with R? Here is how you can prepare for the course:
• Join the preparatory Introduction to R course at the University of Copenhagen, August 24-25, 2023. The course fee is waived for you as a participant from a 4EU+ partner university. Please register using the form for employees (link at webpage), leave out details for payment but make a comment that you are from 4EU+. For travel funds, please contact us at hgs@iwr.uni-heidelberg.de
• Take a free online course, for example: Harvard University - Data Science: R Basics
The course is divided into six blocks (half days). Each block will consist of a mixture of presentations and hands-on exercises. In the presentations we take starting point in real-world datasets and scientific problems and discuss the relevant statistical methods. Focus is on the link between data and methods, implementation, and interpretation of results. Exercises will be practical, with exploration and analysis of real-world datasets. Participants are expected to use the statistical software environments R and RStudio for the exercises.
Teaching material:
The teachers will provide slides, programs/output from R Markdown, data, and exercises. Apart from this, notice that the book R for Data Science (https://r4ds.had.co.nz or https://r4ds.hadley.nz) is useful for data manipulation and visualization.
Tentative plan:
Each block (A-F) is expected to last for a morning/afternoon.
A. Recap (getting a common language)
• Basic statistical principles (data types, random variation, estimation, hypothesis tests, etc.)
• Workflow with R Markdown
B. Models for continuous outcomes
• Models for regression, ANOVA, clustered/blocked data (linear mixed models)
• Model diagrams
• Hypothesis tests for overall effects in regression, ANOVA, linear mixed models
C. Elaborate analysis of data with continuous outcome
• Estimated marginal means (emmeans)
• Pairwise comparisons and adjustment for multiple testing
• Statistical power
D. Modifications of models and analyses for continuous outcomes
• Model validation and data transformation
• Bootstrap computation of standard errors and p-values
E. Models with non-linear relationships
• Additive models (GAMs)
• Non-linear regression
F. Prediction with multiple/many covariates
• Preprocessing
• Training/validation/testing
• Regression-based models for prediction
• Principal component analysis (PCA)
10:00 - 13:00
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Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Registration: Please register via this form
This seminar is part of the two-session training "How to protect software-based innovation with patents“:
• Introduction - Protecting software-based innovation: September 6, 2023 • 10:00–12:00
• Already any missed opportunity? - Follow-up workshop: September 19, 2023 • 10:00–13:00
In the first session, examples will be used to illustrate the strategic relevance of patents in the field of software for academic institutions and to explain the requirements for software-based innovation to be considered as patentable software inventions. In the second session, participants are invited to provide examples from their own already-disclosed work. These will be discussed and analyzed with regard to the patentability requirements. Personal meetings to discuss not-yet-disclosed innovations can be scheduled after the workshop.
Speaker and moderator: Peter Bittner
Peter Bittner is European patent attorney with 15 years of experience in the filing and prosecution of patents disclosing software-based inventions. Prior to founding the patent law firm PATIT – PATents for IT, Mr. Bittner was responsible for the global patent portfolio management of the research organization of Germany’s largest software provider.
Organizers:
ScienceValue Heidelberg • HGS MathComp • IWR • hei_INNOVATION
Concerning the patentability of not-yet-disclosed innovations, at the end of the workshop there will be the possibility to plan specific one-to-one meetings to avoid compromising the novelty of the underlying subject matter.
“Development of Quantum Chemical Methods for the Calculation of Molecular Response Properties”
11:20 Adrian Müller (Supervisor A. Dreuw)
“Quantum mechanical method development for MOST systems”
11:40 Friederike Schneider (Supervisor A. Dreuw)
"High-Performance Quantum Chemical Computing"
12:00 Panasun Manorost (Supervisor P. Bastian)
“Surface-subsurface flow simulation. Creating Method and Application”
12:20 Pascal Lafrenz (Supervisors H. Kaessmann, B. Velten)
"Multi-omics data integration and evolutionary models to understand de novo gene birth and human evolution"
14:00 Leonie Kreis (Supervisor R. Herzog)
„Multilevel architectures and algorithms in deep learning“
14:20 Yannick Pauler (Supervisor C. Rother)
“Recovering 3D Information from a Moving Camera"
14:40 Leo Nguyen (Supervisor U. Koethe)
„Advancing Lithium Battery Design through Machine Learning using Invertible Neural Networks“
10:00 - 12:00
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Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Registration: Please register via this form
This seminar is part of the two-session training "How to protect software-based innovation with patents“:
• Introduction - Protecting software-based innovation: September 6, 2023 • 10:00–12:00
• Already any missed opportunity? - Follow-up workshop: September 19, 2023 • 10:00–13:00
In the first session, examples will be used to illustrate the strategic relevance of patents in the field of software for academic institutions and to explain the requirements for software-based innovation to be considered as patentable software inventions. In the second session, participants are invited to provide examples from their own already-disclosed work. These will be discussed and analyzed with regard to the patentability requirements. Personal meetings to discuss not-yet-disclosed innovations can be scheduled after the workshop.
Speaker and moderator: Peter Bittner
Peter Bittner is European patent attorney with 15 years of experience in the filing and prosecution of patents disclosing software-based inventions. Prior to founding the patent law firm PATIT – PATents for IT, Mr. Bittner was responsible for the global patent portfolio management of the research organization of Germany’s largest software provider.
Organizers:
ScienceValue Heidelberg • HGS MathComp • IWR • hei_INNOVATION
12:00
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Registration: Please register on the event website
This annual meeting is organised by and for doctoral students in the fields of probability theory and statistics and will be held in Heidelberg for the first time this year. We offer doctoral students a platform to present their research areas and results, gain insights into other interesting research areas in their field, and exchange ideas with others.
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Registration: Please apply on the event website
• Collaborative research between AI developers and astrophysicists to kick-start new and fascinating science projects
• Well balanced mix of invited talks and plenty of free time for collaborative research, discussions and tutorials
Target Audience:
Young researchers in the field of computer science, ML/AI, astrophysics or related
Science Keywords:
Neural ODEs, invertible generative models, graph representation learning, information field theory
Invited Speakers:
Nathan Kutz (U. of Washington, Seattle)
Torsten Enßlin (MPI for Astrophysics, Munich)
Patrick Kidger (Google X)
Laurence Perreault Levasseur (U. of Montreal)
Kaze Wong (Flatiron Institute, NY)
Andreea Deac (Mila, Montreal)
Christina Winkler (TU Munich)
Christopher Rackauckas (MIT)
Scientific Organizing Committee:
Tobias Buck (IWR, Heidelberg)
Soledad Villar (Johns Hopkins U., Baltimore)
Aura Obreja (University Observatory Munich)
Morgan Fouesneau (MPI for Astronomy Heidelberg)
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Target Audience:
MSc. and PhD candidates as well as postdoctoral scientists and young researchers from a broad range of disciplines who have a strong motivation to apply NbS in their field of research or work.
Registration Deadline:
before July 26, 2023
In this context, Nature-based Solutions (NbS), while not yet commonplace, are increasingly gaining recognition alongside more conventional engineering solutions and healthcare interventions. The concept of NbS describes the innovative use of existing knowledge about natural systems to assist society in effectively addressing contemporary environmental, social and economic challenges while simultaneously providing ecological and health benefits. These win-win NbS include the management, restoration and protection of ecosystems, strategies for climate adaptation and mitigation and the greening of infrastructure.
The Summer School will explore the innovative potential of NbS to tackle two pressing global health challenges – climate change and pandemic prevention, which are highly interconnected and provide opportunities to design, apply and evaluate a range of win-win NbS to inform future policies based on scientific evidence.
The guest speakers will share their expertise and experience with the participants and will collaboratively work together on a capstone project, relevant to the development and presentation of a research project on NbS to tackle climate change and pandemics.The Summer School will promote interdisciplinary thinking and will encourage participants to bring examples of NbS beyond these two challenges for discussion to consider how to develop NbS that address concrete challenges and implement solutions in very diverse settings. As a result, the Summer School will allow participants to further connect, interact, and build a worthwhile network of expertise on NbS.
30-minute-talks (limited slots),
poster sessions and/or
3-minute elevator pitches.
We invite all PIs to join the poster session and social dinner on Tuesday afternoon (~14:00-20:00). Please indicate to us if you would like to join lunch / dinner on Tuesday.
11:00
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Location: BioQuant • Lecture Hall SR41 • Im Neuenheimer Feld 267, 69120 Heidelberg
Link:
The seminar will also be streamed via Zoom. For more information please visit the website of the seminar.
Biosketch:
Tristan Bereau is a computational physicist working at the interface between multiscale modeling and machine learning for soft matter and biomolecules. He earned a Ph.D. in Physics at Carnegie Mellon University. After a postdoc at the University of Basel, he led an Emmy Noether research group at the Max Planck Institute for Polymer Research. He then moved to the University of Amsterdam as an assistant professor in chemistry and computer science, followed by a role in Industry. Tristan serves on the editorial boards of the journals Machine Learning: Science & Technnology and Computational Science and Engineering. He is currently a professor at the Institute for Theoretical Physics at the University of Heidelberg.
It would be great to see you at the mixer. Please feel free to share this invitation with other PhD and master students who might be interested.
See you at the HGS MathComp Mixer!
Michael & Rob
16:15
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Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Registration: No registration required
Link:
The IWR Colloquium will be held as an in-person event at the Mathematikon. In addition it will be streamed via Zoom. For more information please visit the website of the colloquium.
While these “signal processing flaws” have been largely ignored as test accuracies on many problems have been increasing over many years, recent research showed that current models are highly vulnerable to even the slightest changes in input distributions. In our latest works [1-5], we showed that the missing “robustness” of CNNs is not only due to insufficient training data, but to a large extend is also caused by faulty operators and architectures which are failing to adhere to basic signal processing demands. The aim of this talk is to give an overview of the dominant problems in the context of image processing and analysis and discuss possible counter measures.
References:
[1] Durall, R., Keuper, M., & Keuper, J. (2020). Watch your up-convolution: Cnn based generative deep neural networks are failing to reproduce spectral distributions. CVPR 2020
[2] Grabinski, J., Keuper, J., & Keuper, M. (2022). Aliasing and adversarial robust generalization of CNNs. Machine Learning, 111(11), 3925-3951.
[3] Grabinski, J., Jung, S., Keuper, J., & Keuper, M. (2022). FrequencyLowCut Pooling--Plug & Play against Catastrophic Overfitting. ECCV 2022
[4] Grabinski, J., Gavrikov, P., Keuper, J., & Keuper, M. Robust Models are less Over-Confident. NeurIPS 2022
[5] Gavrikov, P., & Keuper, J. (2022). CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters. CVPR 2022 (oral)
13:00 - 14:30
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Location: Location: Mathematikon • Lecture Hall, Ground Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
The presentation will introduce the structure of the NHR program, central NHR activities of the NHR-Verein and the structure of the application process. It will specially report on offerings and developments at the NHR center at Friedrich-Alexander-Universität Erlangen-Nürnberg (NHR@RFAU) which focuses on atomistic applications and node-level performance engineering.
9:00
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Registration: Please register on the event website
The latest information and a registration link are available on the course website (log in with Uni-ID).
HGS MathComp fellows can get a reimbursement of the course fees. Please submit your proof of payment and certificate of participation to hgs@iwr.uni-heidelberg.de.
This highly interactive workshop employs theoretical input, plenary discussions, practice scenarios, individual and small group work, experience sharing, and expert advice.
Registration: Please apply on the event website
Organizers:
Prof. Fabien Gatti • CNRS, University Paris Saclay, France
Prof. Oriol Vendrell • Institute of Physical Chemistry & IWR, Heidelberg University
The program targets mainly PhD students, early-stage researchers, and aims at providing them with sufficient proficiency to afterward apply the MCTDH method in their day-to-day research activities.
We can accept only a limited number of participants. For admittance, please follow the instructions on how to apply. The deadline for applications is May 14, 2023.
- Numerical methods for quantum dynamics
- MCTDH theory
- Hands-on exercises with the Heidelberg MCTDH package
- Introduction to polyspherical coordinates
- Mode combinations and multilayer tree generation
- Potential energy operators in sum-of-products form
- MCTDH for bosons and fermions (MCTDH-X)
- Density matrix renormalization group (DMRG) through the lens of MCTDH
- DMRG in electronic and vibrational problems
Registration: Please use this form to register
9:00 - 13:00
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Location: INF 130.2, Lecture Hall 00.200
Registration: Please apply via this portal
Target group: MA-students, PhD candidates, Postdocs, Professors
16:30 - 18:00
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Registration: Please register via this form
Link:
To help plan the catering, please register for free by clicking here.
Scientific Machine Learning is a joint initiative from STRUCTURES and IWR aimed at fostering interactions within and development of the local machine learning community. Its portal summarizes the many relevant events and news from across campus that would otherwise remain scattered across single institutions or fields. The goals of the MLAI platform align with the STRUCTURES Cluster of Excellence's objective of driving research into the fundamental understanding of current and future machine learning, and with IWR’s aim to leverage machine learning to enable the solution of long-standing problems in the natural and life sciences, the engineering sciences, as well as the humanities.
Further information and links:
MLAI homepage • Machine Learning Talks on Campus – Information service and mailing list • STRUCTURES Cluster of Excellence
Jan Budczies, Daniel Durstewitz, Carsten Rother
Science talks:
• Iordanis Ourailidis (Budczies lab): AI-based detection of tumor budding in head and neck cancer
• Florian Hess (Durstewitz lab): Learning generative models of dynamical systems from time series data
• Felix Draxler (Rother lab): Generative Models - Applications and Guarantees
Location: BioQuant • Lecture Hall SR41 • Im Neuenheimer Feld 267, 69120 Heidelberg
Link:
The seminar will also be streamed via Zoom. For more information please visit the website of the seminar.
And yet, test runing predictive models on actual medical decisions can be costly and dangerous. How do we bridge the gap? By improving machine-learning model evaluation. First, the metrics used to measure prediction error must capture as well as possible the cost-benefit tradeoffs of the final usage. Second, the evaluation procedure must really put models to the test: on a representative data sample, and accounting for uncertainty in model evaluation.
Biosketch:
Gaël Varoquaux is a research director working on data science at Inria (French Computer Science National research) where he leads the Soda team on computational and statistical methods to understand health and society with data. Varoquaux is an expert in machine learning, with an eye on applications in health and social science. He develops tools to make machine learning easier, suited for real-life, messy data. He co-funded scikit-learn, one of the reference machine-learning toolboxes, and helped build various central tools for data analysis in Python. He currently develops data-intensive approaches for epidemiology and public health, and worked for 10 years on machine learning for brain function and mental health. Varoquaux has a PhD in quantum physics supervised by Alain Aspect and is a graduate from Ecole Normale Superieure, Paris.
Please register until Wednesday, June 21, 18.00 so that we can arrange the amount of food in time.
18:00
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Location: Mathematikon • Seminar Room B, Ground Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Biosketch:
Nagaiah Chamakuri got his M.Tech at IIT Madras, India, in 2002 and obtained his Ph.D. from Otto-von-Guericke University in 2007. After that, he worked as a Postdoc at several places in Austria and Germany. He worked as an Associate Professor at Mahindra-Ecole Centrale, Hyderabad from 2016-2019. Since 2020, he has been working as a faculty at the Indian Institute of Science Education and Research (IISER), Thiruvananthapuram, India. His scientific interests include the numerical solution of partial differential equations, Optimal control of PDEs, applications in fluid flow, Computational biology, and High-performance computing.
Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Registration: Please register via this form
• Introduction to Intellectual Property Rights – June 15, 2023 / 11:00-12:30
• Open Science and Open Access – June 23, 2023 / 10:00-13:00
Openness and transparency are closely linked to the scientific method. But how open can and should science be conducted? The course would like to invite you to participate in the current discussion about open science in its different facets, with a focus on the latest developments in open access publishing and open research data. In addition various open science services available on campus will be presented.
13:00
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Location: Mathematikon • CIP Pool, 3rd Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Registration: Please register on the event website
Registration deadline: 09.06.2023. This will be a hybrid event.
It would be great to see you at the mixer. Please feel free to share this invitation with other PhD and master students who might be interested.
See you at the HGS MathComp Mixer!
Michael & Rob
Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Registration: No registration required!
Link:
Anil Ananthaswamy is an award-winning science journalist and former staff writer and deputy news editor at New Scientist magazine. Currently, as a freelance journalist, he writes for Quanta, Scientific American, New Scientist and Nature, among others. His most recent book, Through Two Doors at Once was named one of Smithsonian's Favorite Books of 2018 and one of Forbes's 2018 Best Books About Astronomy, Physics and Mathematics. In 2023 Anil Ananthaswamy was selected as “Journalist in Residence" at at the Heidelberg Institute for Theoretical Studies (HITS).
11:00 - 12:30
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Location: Mathematikon • Seminar Room 10, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Registration: Please register via this form
• Introduction to Intellectual Property Rights – June 15, 2023 / 11:00-12:30
• Open Science and Open Access – June 23, 2023 / 10:00-13:00
This seminar on Intellectual Property (IP) rights is intended for researchers who wish to familiarize themselves with the topic. An overview on the variety of IP rights available to protect the results of the research work will be provided. The focus will be on the protection provided by patents and copyrights, the patenting process, and the rights and obligations of the inventors as outlined in the German Employee Inventions Act (Gesetz über Arbeitnehmererfindungen). We will also try to shed light on the controversial question: Is software patentable?
ScienceValue Heidelberg (SVH) is a wholly owned subsidiary of Heidelberg University and in charge of the protection, management and exploitation of the IP generated within the University.
14:30 Thi Kim Tuyen Le (Supervisor Prof. A. Andrzejak)
“Accelerated Programming for Data Analysis and Processing”
14:50 Tareq Al-Ahdal (Supervisor Prof. J. Rocklöv)
"Climate Factors Impacts the Negative Sentiments of Human Expressions from Twitter"
15:10 Paul Grosse-Bley (Supervisors Prof. R. Strzodka / Prof. G. Kanschat)
"Parallel Algorithms and GPU-Libraries"
15:30 Lorna Wessels (Supervisors Prof. J. Saez-Rodriguez / Prof. M. Singhal)
“Deconvoluting the transcriptomic evolution of endothelial cells during metastatic progression”
16:15
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For more information please visit the website of the colloquium.
Abstract:
I will discuss our efforts to use machine learning (ML) to accelerate the computational tailoring and design of transition metal complexes for catalysis and metal-organic framework (MOF) materials in spaces of millions to tens of millions of materials. Traditionally, computational modeling with high-throughput screening based on density functional theory (DFT) has been employed for data generation either for direct discovery or when paired with regression ML models. I will describe how we have addressed some of the challenges of applying these workflows in regimes of scarce data. I will describe how we have achieved 1000-fold accelerated discovery of light-harvesting complexes, single-site catalysts, and energy storage materials. To accomplish this, we have quantified uncertainty using measures of the latent space to improve model confidence as well as to drive efficient global optimization workflows with multitask neural networks. I will also describe how we have leveraged natural language processing to extract, learn, and directly predict experimental measures of stability on heterogeneous MOF materials. I will also touch upon how we are beginning to overcome one chief limitation of accelerated catalyst discovery by using diffusion models to predict transition state structrues, the rate limiting step in conventional computational modeling of catalysts.
About the HGS MathComp Romberg Program:
With its founding in 2007 the HGS MathComp implemented the distinguished Romberg Guest Professorship. With this program the graduate school invites leading researchers working in a field relevant to the graduate school for a longer stay and to participate in the study training program.
The guests invited via the HGS MathComp Romberg Program make substantial contributions to the study program by complementing the teaching done by the members or by disseminating their latest research results at the school.
For more information please visit the website of the Romberg Program.
Location: Mathematikon • Lecture Hall, Ground Floor • Im Neuenheimer Feld 205, 69120 Heidelberg
Link:
The emergence and transmission of pathogens that cause infectious diseases is an increasing threat in Europe, fueled by climate change, globalization, increasing international mobility, amongst many other broad societal and environmental transformations. Since the 2000s, The Upper Rhine Valley in Southwestern Germany has emerged as a hotspot for invasive Asian tiger mosquitoes with their populations persisting despite control and eradication efforts by local and regional administrations.
To address the growing public health risk endemic Asian tiger mosquitoes populations pose in relation to the spread of infectious diseases, it is critical that efforts are undertaken to evaluate the conditions contributing to the establishment of Asian tiger mosquitoes populations as well as how efforts to mitigate and respond to climate change may actually make local environments more suitable to these disease vectors amongst others.
Join professors from Universität Heidelberg to learn about these threats and the impacts of climate change and mobility on disease vectors such as mosquitoes. Speakers will address current research at Universität Heidelberg and its partner institutions as well as the citizen science initiative Mosquito Alert which is working to tackle invasive mosquito populations across the globe.
Speakers:
Prof. Till Bärnighausen • Heidelberg Institute of Global Health (HIGH) & IWR
Dr. Norbert Becker • Centre for Organismal Studies (COS)
Prof. Joacim Rocklöv • IWR & HIGH
Prof. Carsten Wergin • Faculty of Behavioral and Cultural Studies
Prof. Alexander Zipf • Heidelberg Institute for Geoinformation Technology (HeiGIT) & GIScience
14:00 - 15:30
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May 15, 2023 • 14:00 - 15:30
Machine learning holds great promise in accelerating chemical discovery and materials discovery. In the chemical sciences, data quality and availability are among the biggest challenges for predictive machine learning accelerated discovery. This includes whether electronic structure methods are sufficiently accurate for data generation or if experimental data of suitable quality is available. I will describe some techniques and approaches to overcome these limitations to design novel materials, including catalysts, photoactive complexes, and metal-organic frameworks
9:00
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Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Link Online-Registrierung [Workshop: „Fast am Ziel angekommen: Erfolgreich und gestärkt in die Disputation gehen]“
Beschreibung:
Eine lange Phase der wissenschaftlichen Ausbildung liegt nun hinter Ihnen. Nun liegt noch der letzte große Meilenstein, die mündliche Verteidigung, vor Ihnen. Wahrscheinlich schauen Sie diesem Tag nicht nur mit Gelassenheit und Freude entgegen, sondern es macht sich Zweifel und Nervosität breit.
Ausgehend von Ihren individuellen Erfahrungen werden Sie in diesem Workshop Präsentationstechniken und Verteidigungsstrategien kennenlernen, die es Ihnen ermöglichen, Ihre eigenen Forschungsergebnisse sicher und überzeugend darzustellen und auch für kritische Rückfragen gewappnet zu sein. Nur so können Sie souverän zwischen Leinwand und Publikum vermitteln.
Anhand von Ihrer zu Beginn durchgeführten kurzen Dissertations- Präsentation werden Sie ein differenziertes Videofeedback erhalten, um Ihre Stärken zu verdeutlichen sowie Möglichkeiten aufgezeigt, diese weiter auszubauen. Darüber hinaus werden der formale Ablauf und die spezielle Form der Prüfungssituation Teil des Workshops sein. Der Umgang mit Lampenfieber und Nervosität runden die inhaltliche Ausrichtung des Workshops ab, so dass Sie dem krönenden Abschluss Ihrer Dissertation gelassener entgegen sehen können.
Agenda (Themenauswahl):
- Kurz-Präsentation der eigenen Dissertation mit Videoaufnahme und professionellem Feedback
- Bausteine eines Diputationsvortrages
- Was muss ich bei der Vorbereitung meiner Disputation besonders beachten? (Do’s and Don’ts)
- Wie kann ich überzeugend und souverän meine Forschungsleistung vorstellen?
- Wie gehe ich mit Lampenfieber und Nervosität um?
- Welche Reaktions- und Verteidigungsstrategien gibt es und wie kann ich diese einsetzen?
- Wie ist der formale Ablauf in dieser speziellen Prüfungssituation?
Zur Trainerin:
Dr. Angelika Wolf, MethoDactics
Frau Dr. Wolf hat durch mehrjährige und vielfältige Tätigkeiten zahlreiche Erfahrungswerte im Bereich der Erwachsenenbildung, Hochschulforschung, des Wissenschaftsmanagement und in der Wirtschaft gesammelt, die die Inhalte ihrer Workshops prägen. Ihre Promotion hat sie an der Pädagogischen Hochschule Heidelberg an der Schnittstelle von Psychologie und Physikdidaktik abgelegt. Seit 2017 arbeitet sie als freie Trainerin & Karriereberaterin in Deutschland und in der Schweiz (MethoDactics).
Arbeitsschwerpunkte: Persönlichkeitsentwicklung - Gestaltung individueller Karriere- und Lebenswege - Netzwerken in der Wissenschaft; Professionelle Weiterbildung - Wissenschaftliches Arbeiten- quantitative Forschungsmethoden - Disputationstraining
9:00
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Summary:
The course will give a brief overview of best practices for the sustainable development of research software. Areas covered are e.g. version control, development workflows, licensing, documentation, software testing, CI/CD, packaging, static code analysis, clean code. The course will emphasize the importance of these topics for the development process, give opinionated tooling recommendations and share experiences. The primary goal of the course is to enable the participants to formulate a roadmap of courses and self-learning activities to further improve their software development skills.
Registration required!
For more information please visit the website of the SSC:
https://ssc.iwr.uni-heidelberg.de/events
13:00
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SIMPLAIX is a cooperation between the Heidelberg Institute for Theoretical Studies (HITS), the Karlsruhe Institute of Technology (KIT) and Heidelberg University, focussed on bridging scales from molecules to molecular materials by multiscale simulation and machine learning (www.simplaix.org). The aim of the workshop is to bring together scientists working in the field to share their research and discuss current challenges.
Registration is now open. Registration deadline: 15 March, 2023.
For further information please visit the website of the workshop: https://simplaix-workshop2023.h-its.org/
Organizers:
Rebecca Wade (HITS) • Andreas Dreuw (IWR, Heidelberg University) • Frauke Gräter (HITS) • Fred Hampreccht (IWR, Heidelberg University) • Ganna Gryn'ova (HITS) • Marcus Elstner (KIT) • Pascal Friedrich (KIT) • Ullrich Köthe (IWR, Heidelberg University)
16:30
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Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Link:
To help plan the catering, please register for free by clicking here.
Scientific Machine Learning is a joint initiative from STRUCTURES and IWR aimed at fostering interactions within and development of the local machine learning community. Its portal, http://mlai.uni-heidelberg.de summarizes the many relevant events and news from across campus that would otherwise remain scattered across single institutions or fields.
The goals of the MLAI platform align with the STRUCTURES Cluster of Excellence's objective of driving research into the fundamental understanding of current and future machine learning, and with IWR’s aim to leverage machine learning to enable the solution of long-standing problems in the natural and life sciences, the engineering sciences, as well as the humanities.
Further information and links:
MLAI homepage
Machine Learning Talks on Campus – Information service and mailing list
STRUCTURES Cluster of Excellence
Lab presentations:
• Ralf Klessen
• Johannes Schemmel
• Michael Strube
Science talks:
• Victor Ksoll (Klessen lab): 3D reconstruction of interstellar dust distributions with invertible neural networks
• Luca Blessing (Schemmel lab): Event-based Backpropagation for Analog Neuromorphic Hardware
• Wei Zhao (Strube lab): Graph Neural Networks on the Manifold of Symmetric Positive Definite Matrices
To help plan the catering, please register for free by clicking here.
Scientific Machine Learning is a joint initiative from STRUCTURES and IWR aimed at fostering interactions within and development of the local machine learning community. Its portal, http://mlai.uni-heidelberg.de summarizes the many relevant events and news from across campus that would otherwise remain scattered across single institutions or fields.
The goals of the MLAI platform align with the STRUCTURES Cluster of Excellence's objective of driving research into the fundamental understanding of current and future machine learning, and with IWR’s aim to leverage machine learning to enable the solution of long-standing problems in the natural and life sciences, the engineering sciences, as well as the humanities.
Further information and links:
MLAI homepage
Machine Learning Talks on Campus – Information service and mailing list
STRUCTURES Cluster of Excellence
16:15 - 17:15
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Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Link:
For more information please visit the website of the colloquium.
Abstract:
The Portal of Medical Data Models (medical-data-models.org) is a multilingual information infrastructure for medical research based on FAIR principles. It provides Europe’s largest collection of medical forms with semantic annotation. Medical metadata can be reused efficiently to build medical databases compliant with standards from regulatory authorities (model-driven software development). Contents can be exported in 20+ formats and used directly in an integrated open source EDC system, which provides an interface to electronic health record (EHR) systems used in routine patient care.
9:00 - 16:00
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Zoom Link:
https://eu02web.zoom.us/j/62842665374?pwd=M21aaStjZWRndUdrTzBaM2hRRnJjdz09
Abstract:
The world is changing rapidly, accelerating our need to understand how factors like climate, land use, and social structure affect the ecology of disease on a global stage. Interrogating these processes requires applying advanced analyses across broad datasets to ensure that results are generalisable and complexities are well-understood. However, often, disease ecology analyses take relatively coarse species-level approaches that are fraught with sampling biases and are restricted in their ability to inform finer-scale processes. Further, when these models are used to predict the disease consequences of global change they can be difficult to validate, reducing our confidence in their predictions.
In this talk, I present a series of analyses that we have used to identify macroecological trends of host-pathogen ecology and the changing structure of the global host-virus network, and our efforts to use them to predict elements of global change. I compare and contrast them with other finer-scale studies of disease dynamics that comprise most of the field of disease ecology, and I outline the ways we are attempting to move between these scales of investigation. Ultimately, I discuss the need for “bottom-up” mechanistic prediction of disease dynamics in novel systems, using fine-scale analyses to inform the most important global-scale problems.
“Mathematics of Life” is a special interest group organized by doctoral students of the HGS MathComp.
Link Mathematics of Life:
www.mathcomp.uni-heidelberg.de/mathematics-of-life
10:00
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This 4-day course offers a compact introduction to mathematical optimization. We invite researchers in non-mathematical fields as well as in mathematics to attend the classes.
The goal of the course is to enable the participants to recognize the characteristics of a given optimization problem, to understand its difficulties and limitations, and to choose suitable solution methods as well as to develop ideas on how to model problems from their own field as optimization problems.
We will focus on the following four categories of optimization problems:
day 1) unconstrained optimization
day 2) convex optimization
day 3) nonlinear optimization
day 4) infinite-dimensional optimization
For each of these problem classes, we will study meaningful examples, the relevant theory, and prominent solution algorithms. Every day consists of a 90-minute lecture part in the morning and a 90-minute hands-on exercise session in the afternoon.
REGISTRATION REQUIRED !
Please register via the office of the graduate school: hgs@iwr.uni-heidelberg.de
For further information please visit the website:
https://scoop.iwr.uni-heidelberg.de/teaching/2022ws/short-course-optimization/
14:00
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Location: Mathematikon • Seminar Room 11, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
This event is a double seminar between MATHEMATIKON, Heidelberg and AIMS, South Africa on the occasion of the International Day of Mathematics. In two short and interactive lectures we celebrate the day of mathematics and bring together students from the two institutions on a virtual platform.
The event is organized by "heiAIMS, the Heidelberg - Cape Town Network for Applied Mathematics and Scientific Computing" which is funded by the Baden-Württemberg-STIPENDIUM for University Students, a program established by the Baden-Württemberg Stiftung.
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Title: Mathematics and African Arts
Speaker: Dr. Mafoya Landry Dassoundo • Department of Mathematical Sciences, African Institute for Mathematical Sciences (AIMS)
Abstract:
First of all, we will define, and recall basic the properties of braids groups and connect them naturally with knot theory. Some of its applications in the hairstyles of African women will be presented. Secondly, we will share a cultural experience around one of the oldest African games well known as "African stones game".
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Title: What Exactly is Infinity?
Speaker: Dr. Michael Winckler • HGS MathComp
Abstract:
The concept of infinity is hard to understand for humans. Counting finite sets is a natural concept, but understand what countably infinite sets are and that we can even investigate uncountably infinite sets is difficult to comprehend.
In this lecture we will start by comparing finite sets and establishing a rigorous method to compare sets in their size. Expanding this to infinite sets will help us to move forward and show that different levels of infinity exist. We will conclude the lecture by trying to visualize our results in drawing space-filling curves, thus experiencing that our notion of size does not easily extend to infinity.
Remark: Please bring paper and a pencil to class
Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Following the lecture, there will be a get-together. It will take place in the adjoining Common Room at 17:00. Snacks and beverages will be provided.
This event is jointly organized by HGS MathComp and the Faculty of Mathematics and Computer Science.
17:00
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The IWR Colloquium will be streamed via Zoom. For more information please visit the website of the colloquium.
Link: www.iwr.uni-heidelberg.de/events/iwr-colloquium
HGS MathComp Members will receive 1 ECTS credit for every 4 talks attended. Please make sure to include them in your BlueSheet.
16:15
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In this seminar, I will give an accessible introduction to DMs and present our work on critically-damped Langevin DMs (CLD) which is based on ideas from statistical mechanics. CLD can be interpreted as running a joint diffusion in an extended space, where the auxiliary variables can be considered "velocities" that are coupled to the data variables as in Hamiltonian dynamics. CLD significantly accelerates sampling compared to the original DM formulation, however, many further improvements can be made by borrowing ideas from the ODE solver literature.
The IWR Colloquium will be held as an in-person event at the Mathematikon. In addition it will be streamed via Zoom.
For more information please visit the website of the colloquium.
Link: www.iwr.uni-heidelberg.de/events/iwr-colloquium
HGS MathComp Members will receive 1 ECTS credit for every 4 talks attended. Please make sure to include them in your BlueSheet.
16:15
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The IWR Colloquium will be held as an in-person event at the Mathematikon. In addition it will be streamed via Zoom.
For more information please visit the website of the colloquium.
Link: www.iwr.uni-heidelberg.de/events/iwr-colloquium
“Mathematics of Life” is a special interest group organized by doctoral students of the HGS MathComp.
HGS MathComp Members will receive 1 ECTS credit for every 4 talks attended. Please make sure to include them in your BlueSheet.
The starting point for the first part of the talk is that each iteration of the MBO scheme corresponds to one step of implicit gradient descent for the thresholding energy on the similarity graph of the dataset. It is then natural to think that outcomes of the MBO scheme are (local) minimizers of this energy. We prove that the algorithm is consistent, in the sense that these (local) minimizers converge to (local) minimizers of a suitably weighted optimal partition problem.
To study the dynamics of the scheme, we use the theory of viscosity solutions. The main ingredients are (i) a new abstract convergence result based on quantitative estimates for heat operators and (ii) the derivation of these estimates in the setting of random geometric graphs.
To implement the scheme in practice, two important parameters are the number of eigenvalues for computing the heat operator and the step size of the scheme. Our results give a theoretical justification for the choice of these parameters in relation to sample size and interaction width.
This is joint work with Jona Lelmi (University of Bonn).
The lecture will be also streamed online: https://us02web.zoom.us/j/4889309058
Leonid Berlyand • Pennsylvania State Universtiy, USA
October 26-27, 2022 • 14:30 - 16:30
Abstract:
The goal of this minicourse of four lectures is to introduce basic concepts from deep learning in a rigorous mathematical fashion, e.g introduce mathematical definitions of deep neural networks (DNNs), loss functions, the backpropagation algorithm, etc. We attempt to identify for each concept the simplest setting that minimizes technicalities but still contains the key mathematics. This minicourse follows the upcoming book “Mathematics of Deep Learning: an introduction” by L. Berlyand and P.-E. Jabin. Publisher: De Gruyter (to appear).
Lecture 1. History, general perspective and basic notions of deep learning
In this lecture, we briefly discuss the general perspective of machine learning:
what is it and why study it? Next, we introduce the classification problem in a supervised learning context and then introduce the key concept of artificial neural networks (ANNs) as the composition of linear maps and nonlinear activation function followed by other basic definitions describing ANNs.
Lecture 2. DNNs and approximation theory
In this lecture, we discuss the universal approximation theorem describing the wide class of continuous functions which DNNs can be used to approximate. This theorem explains the extensive use of DNNs in classification problems. Next, we introduce the concept of training via the gradient descent algorithm which improves the approximate classifier by iteratively __learning__ from the dataset.
Lecture 3. Backpropagation & CNNs
We begin from introducing the notion of computational complexity. Next, we introduce the backpropagation algorithm which significantly reduces the computational cost of optimizing the loss function. This is done in the simplest one neuron per layer setting, which while not practical allows us to explain the concept without many technicalities. Finally, if time permits, we briefly discuss convolutional neural networks and their properties.
Lecture 4. Implementing DNNs and Training: a brief overview of Pytorch
This lecture will be presented by my co-author P.-E. Jabin (Penn State).
We present here a short and very basic introduction to Pytorch, in the context of classification of images. We assume passing familiarity with coding and with python in particular. Many further tutorials exist online and several can be found at https://pytorch.org/tutorials/
For more see the abstract_file:
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Realizing the importance of research on optimization and numerical methods, the Department of Mathematics, Faculty of Science, King Mongkut’s University of Technology Thonburi—in cooperation with the Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, the Federal Republic of Germany, and along with the nationwide as well as the Southeast Asian regionwide network of universities including Walailak University, Prince of Songkla University (Pattani Campus), Chulalongkorn University, Silpakorn University, Mahidol University, Chiang Mai University, and King Mongkut’s University of Technology North Bangkok—will organize an international “Workshop on Computational Science 2022: Webinar on Optimization and Numerical Methods in Industries.”
This year, the Department will co-host the event with the Department of Mathematics, School of Science, Walailak University, and the Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University.
10:15
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Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
The tutorial is hands-on and accompanied by a textbook (Riezler & Hagmann: Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers, 2022) and a webpage including R and Python code: https://www.cl.uni-heidelberg.de/statnlpgroup/empirical_methods/
! REGISTRATION REQUIRED !
Please register via the office of the graduate school: hgs@iwr.uni-heidelberg.de
The IWR Colloquium will be held as an in-person event at the Mathematikon. In addition it will be streamed via Zoom.
For more information please visit the website of the colloquium.
Link: www.iwr.uni-heidelberg.de/events/iwr-colloquium
HGS MathComp Members will receive 1 ECTS credit for every 4 talks attended. Please make sure to include them in your BlueSheet.
16:15
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The IWR Colloquium will be held as an in-person event at the Mathematikon. In addition it will be streamed via Zoom.
For more information please visit the website of the colloquium.
Link: www.iwr.uni-heidelberg.de/events/iwr-colloquium
HGS MathComp Members will receive 1 ECTS credit for every 4 talks attended. Please make sure to include them in your BlueSheet.
9:15
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What is an "Integrative Think Tank" (ITT)?
ITT is a 1-week-challenge workshop with two industrial partners. Students and lecturers work together with experts from the companies to investigate R&D topics related to current developments at these companies.
What is the goal of the event?
The goal of the event is to formulate actual research topics as thesis projects outlines (master or PhD). After the event the University and the partner companies join forces to convert the project outlines into actual research projects.
Who can participate?
The event is open to all master and PhD students at Heidelberg University. ITT is most successful if different students from various fields work together to analyze the research questions of our partners.
What is the reward?
• All participants get a certificate of attendence that certifies 2 ECTS as key competence training.
• Attending students can also apply to participate in the projects defined at ITT as their master or PhD project.
• On top you get direct contacts to the participating companies for internships and practicals (or later employment ...).
OK, you got me! How do I register?
Scroll to the end of the page and find all details regarding registration. Get some more information along the way! And: Tell your friends about it! The more, the merrier!
For more information please visit the website:
www.mathcomp.uni-heidelberg.de/itt-2022
16:15
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The IWR Colloquium will be held as an in-person event at the Mathematikon. In addition it will be streamed via Zoom.
For more information please visit the website of the colloquium.
Link: www.iwr.uni-heidelberg.de/events/iwr-colloquium
HGS MathComp Members will receive 1 ECTS credit for every 4 talks attended. Please make sure to include them in your BlueSheet.
16:15
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The IWR Colloquium will be held as an in-person event at the Mathematikon. In addition it will be streamed via Zoom.
For more information please visit the website of the colloquium.
Link: www.iwr.uni-heidelberg.de/events/iwr-colloquium
HGS MathComp Members will receive 1 ECTS credit for every 4 talks attended. Please make sure to include them in your BlueSheet.
Location: Mathematikon • Konferenzraum, Raum 5/104, 5. Stock • Im Neuenheimer Feld 205, 69120 Heidelberg
10.05.2022 und 12.05.2022 (14:00-16:30 Uhr)
Beschreibung:
Vielfalt und Pluralität sind mittlerweile Alltag in unserer Gesellschaft, im Privat- und Berufsleben: Menschen mit unterschiedlichsten Lebensentwürfen, Hintergründen, Glauben oder Herkunft treffen aufeinander.
In dem zweiteiligen Workshop werden wir uns mit verschiedenen theoretischen Ansätzen im Themenfeld Diskriminierung beschäftigen und anhand praktischer Übungen einen eigenen erfahrungsbasierten Zugang dazu finden. Ziel ist es, Selbstverständlichkeiten und gängige Narrative diskriminierungskritisch zu hinterfragen sowie Handlungsoptionen aufzuzeigen, die tradierte Verhaltensmuster aufbrechen können. Ein besonderes Augenmerk soll dabei auf die Geschlechtergleichberechtigung gelegt werden.
Dozentinnen:
Halszka ?liwa-Ohnesorge verantwortet die Bildungsstelle Plurales Heidelberg bei Mosaik Deutschland e.V. Sie studierte Religionswissenschaft und Politikwissenschaft Südasiens an der Universität Heidelberg. Nachdem Studium arbeitete sie u.a. für ein ziviles, indisch-pakistanisches Friedensprojekt, bei dem die gleichberechtigte Förderung von Jungen und Mädchen ein zentrales Element war. Heute liegt der Schwerpunkt ihrer Arbeit auf der vorurteilsbewussten und diskriminierungskritischen politischen Bildung.
Lara Track leitet das Antidiskriminierungsbüro Heidelberg (ADB) bei Mosaik Deutschland e. V. Sie berät Menschen, die Diskriminierung erfahren haben und setzt sich in Netzwerken auf kommunaler, Landes- und Bundesebene gegen Diskriminierung ein. Im Rahmen ihrer wissenschaftlichen Mitarbeit am Historischen Seminar der Universität Heidelberg erforscht sie Verbindungen zwischen Frauenfriedensaktivismus und Feminismus in den USA. In der Auseinandersetzung mit US-Feminismen gründet ihr Interesse am Konzept der Intersektionalität, das in der mehrdimensionalen Beratung im ADB zum Tragen kommt.
Zielpublikum:
Mitarbeiterinnen und Mitarbeiter in der Verwaltung, PostDocs, Junior Forschungsruppenleiterinnen und -leiter
! ANMELDUNG ERFORDERLICH !
Anmeldungen für den Workshop bitte an: hgs@iwr.uni-heidelberg.de
[Anmeldeschluss: 18.04.2022]
9:00
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In diesem Workshop geht es darum, sich auf Netzwerksituationen wie bspw. den Besuch einer wissenschaftlichen Konferenz vor- und nachzubereiten. Dazu werden verschiedene Situationen vorgestellt und in Übungen und Rollenspielen mit Videoaufzeichnungen (falls gewünscht) ausprobiert und im Detail besprochen.
Des Weiteren wird das eigene Netzwerk analysiert, um Potentiale für dessen Weiterentwicklung zu erkennen und diese bei entsprechenden Netzwerkgelegenheiten zu nutzen. Überdies werden die besten Tricks und Kniffe für erfolgreiches Smalltalken vermittelt, um die eigene Kommunikation in Alltag und Beruf zu optimieren.
Themenauswahl:
• Netzwerkpotenziale: Was ist Netzwerken und warum brauche ich es?
• Netzwerkanalyse im Kontext Wissenschaft – die Rolle von Mentoren
• Analyse, Aufbau und Pflege von (wissenschaftlichen) Netzwerken – wie sieht mein eigenes Netzwerk aus?
• Methodentools: Elevator Pitch zur (überzeugenden und verständlichen) Darstellung von komplexen Forschungstätigkeiten
• Methodentool: „Conference Dinner/Conference Break“
• Methodentool: „Erfolgreiche Selbst-Präsentation“: Story Telling und Grundregeln für erfolgreiches Smalltalken
Zielpublikum:
Dieser Workshop ist Teil des Upstream Programms und nur für weibliche Mitglieder zugänglich.
! ANMELDUNG ERFORDERLICH !
Anmeldungen für den Workshop bitte an: upstream@iwr.uni-heidelberg.de
Zielpublikum:
Diese Exkursion ist Teil des Upstream Programms und nur für weibliche Mitglieder zugänglich.
! ANMELDUNG ERFORDERLICH !
Anmeldungen für den Workshop bitte an: upstream@iwr.uni-heidelberg.de
Natural or engineered materials often contain two or more key constituents, arranged in a heterogeneous structure varying at different scales. Such materials are desirable because their macroscopic properties can be superior to the properties of the individual constituents. It is even possible to explicitly design them for a particular purpose by changing the composition of the constituents.
An example are carbon fibre composites for lightweight structures and vehicles. The mathematical modelling of such heterogeneous or composite materials typically leads to PDEs with highly oscillating coefficients. Direct numerical solution of such problems with traditional methods, such as finite elements is computationally expensive. Just to compute the correct qualitative behaviour, the mesh resolution would need to be sufficiently high to capture all the fine scale variation.
In this seminar, we will study multiscale numerical methods that address various aspects of this challenge. This includes the generation of low-dimensional yet high-quality approximation spaces, acceleration of fine-scale solutions and efficient uncertainty quantification for multiscale problems.
Each student will present a key publication on multiscale numerical methods with an aim to cover most aspects of the field.
Prerequisites:
Basic knowledge of partial differential equations, Sobolev spaces and Finite Element methods is required. For the uncertainty quantification topics, basics of probability theory are needed.
Registration and Schedule:
• First meeting: April 22, 2022, 13:00. Room: TBA
• Since we use MÜSLI for email communication, please register at: https://muesli.mathi.uni-heidelberg.de/lecture/view/1517
• Schedule: Will be chosen on first meeting to maximize attendance
Contact:
Main contact - Linus Seelinger: linus.seelinger at iwr.uni-heidelberg.de
Secondary contact - Robert Scheichl: r.scheichl at uni-heidelberg.de
Talks:
The length of each talk is 40 min. + 10 min. for questions and discussion.
Before your talk you should meet with one of us to discuss your presentation.
Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205, 69120 Heidelberg
! REGISTRATION REQUIRED !
Please register via the office of the graduate school: hgs@iwr.uni-heidelberg.de
Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205, 69120 Heidelberg
Dates:
April 20, 2022 / 09:00-12:00
April 21, 2022 / 14:00-17:00
The term moving interfaces and free boundary refers to a class of problems in which the domain of the problem itself is also an a priori unknown, as well as the basic unknown solution to governing equations. Hence, finding the domain is part of the problem.
In this lecture I shall present some basic models in moving interfaces and free boundary problems. These includes obstacle problem, Stefan problem, Hele-Shaw flow and Muskat problem.
I will also review the state of art for obstacle problem. The lectures will be at elementary level for both advanced master and Ph.D. students.
! REGISTRATION REQUIRED !
Please register via the office of the graduate school: hgs@iwr.uni-heidelberg.de
Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205, 69120 Heidelberg
The workshop will held as an in-person event. All regulations regarding the current Coronavirus Ordinance of Heidelberg University apply. If the situation changes the workshop will be held as a virtual event.
March 29-30, 2022 • 09:00
May 2, 2022 • 14:00-18:00
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Working as a PhD student you have the challenging task of developing research findings and write you doctoral thesis within three years. This alone is a demanding job. In addition, it is vital to the scientific process that your findings are presented to the scientific community. For most PhD students this is the first big project in their professional life and it could have a crucial impact on their future professional career. PhD students are highly motivated when they start their PhD studies but may underestimate the need for professional management for this three-year project "doctoral thesis".
This seminar demonstrates how to approach the doctoral thesis in a professional way. Project management tools and techniques are used, tailored to the specific situation of PhD students. You will learn how to set a project vision, define clear objectives, gain buy-in from your supervisor and other colleagues in your group, and how to develop a project plan, which is structured and at the same time flexible enough to easily adjust to unexpected findings. You will establish a "controlling cycle" which helps you to recognise risks and problems as early as possible, and you will learn how to manage critical situations and deal with ups and downs. Furthermore, networking with colleagues, supervisors and other people are important topics of this seminar.
Throughout the seminar, you will work on your own doctoral thesis and share your experience with others. This seminar is most beneficial for PhD students who are in the early phases of their doctoral thesis. At the end of the seminar you will have established a strategy on how to approach your own doctoral thesis. During the follow-up REVIEW we will share experience and best practices and deal with open questions from the first module.
This seminar will help you to make the most effective use of your three years and finish your doctoral thesis on time.
You will also learn and practise the basic concepts of project management – a prerequisite in industries and research institutions.
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The IWR Colloquium will be held as an in-person event at the Mathematikon. In addition it will be streamed via Zoom.
If your are planing to attend in person you have to follow the 3G-rule set (vaccinated / recovered / tested).
For more information please visit the website of the colloquium.
Link: www.iwr.uni-heidelberg.de/events/iwr-colloquium
Location: Virtual Workshop
Registration: hgs@iwr.uni-heidelberg.de
Registration Deadline: January 24, 2022
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wissrech@iwr.uni-heidelberg.de
In addition the Colloquium will be streamed via Zoom.
For more information please visit the website:
www.iwr.uni-heidelberg.de/events/iwr-colloquium
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Spatial and temporal control of molecular phenomena is crucial to develop intelligent materials for applications ranging from sensing over catalysis to photonic computing. In this regard, stimuli-responsive molecules enable to influence structural and dynamic properties at the atomic level in a highly controlled manner by external stimuli such as light.
To transfer external inputs into functionality, a detailed understanding of both, the operation mechanism of the responsive species and their impact on the environment, is needed. In the presentation, I will give an overview of our activities on developing and applying theoretical methods to investigate the dynamics of stimuli-responsive systems at different time and length scales. By establishing an automated and first-principle based parametrization approach for interatomic potentials, investigations of equilibrium and out-of-equilibrium phenomena in responsive and functional materials are performed.
My presentation is divided in three parts, which cover our atomistic investigations on (i) responsive molecular species (e.g. molecular switches/machines), (ii) the dynamic intermolecular interplay during molecular aggregation and atomically precise restructuring and (iii) hierarchal and responsive architectures (e.g. phase change material and functionalized Metal-Organic Frameworks). By directly linking of our multi-scale simulations with experimental techniques, our work contributions to a rational development of responsive and functional materials.
HGS MathComp Members will receive 1 ECTS credit for every 4 talks attended. Please make sure to include them in your BlueSheet.
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Location: Mathematikon, Conference Room (5th Floor, Room 5/104), Im Neuenheimer Feld 205, 69120 Heidelberg
Prof. Eva Gutheil • IWR, Heidelberg University
Dr. Nora Urbanetz • Daiichi Sankyo Europe GmbH, Pfaffenhofen/Ilm
Participation is possible after registration:
Please send full name, affiliation, position and Email address to
Ellen Vogel: ellen.vogel@iwr.uni-heidelberg.de
For more see the abstract_file:
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The IWR Colloquium will be held as an in-person event at the Mathematikon. In addition it will be streamed via Zoom.
If your are planing to attend in person you have to follow the 2G-rule set (vaccinated / recovered).
For more information please visit the website of the colloquium.
Link: www.iwr.uni-heidelberg.de/events/iwr-colloquium
HGS MathComp Members will receive 1 ECTS credit for every 4 talks attended. Please make sure to include them in your BlueSheet.
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Model order reduction methods provide reliable approximations of the solution at low computational cost. In particular, they allow very fast responses both for real-time and multi-query contexts.
This talk deals with novel model order reduction techniques tailored to time-harmonic wave problems relying only on a precomputed set of snapshots, they present great flexibility, since they allow the construction of a surrogate starting from snapshots obtained via black-box solvers (e.g., commercial software).
The method’s efficiency is investigated in several examples, including transmission-reflection and scattering problems. Especially in the context of optimal control problems, where standard numerical techniques are unfeasible, the employment of surrogate models is crucial.
IMPORTANT: in person meeting changed to ONLINE ONLY meeting
Unfortunately this meeting will only take place online due to the COVID-19 situation.
Link: www.iwr.uni-heidelberg.de/events/iwr-colloquium
HGS MathComp Members will receive 1 ECTS credit for every 4 talks attended. Please make sure to include them in your BlueSheet.
Location: Virtual Workshop
Registration: hgs@iwr.uni-heidelberg.de
Registration Deadline: October 29, 2021
A long-standing challenge in the life sciences is to visualize biological cells at high resolution and with high throughput. Single molecule localization microscopy (SMLM) is among the most powerful and widely used super-resolution imaging methods, but is typically very slow and low throughput. I will present ANNA-PALM, a computational technique based on deep learning that can reconstruct high resolution views from strongly under-sampled SMLM data and widefield images, enabling considerable speed-ups without any compromise on spatial resolution. I will also highlight Shareloc, an online platform to facilitate the sharing and reanalysis of SMLM data, and Imjoy, a computational platform dedicated to facilitating the uptake of state-of-the art deep learning methods in the biomedical research community.
The IWR Colloquium will be held as an in-person event at the Mathematikon. In addition it will be streamed via Zoom.
If your are planing to attend in person you have to follow the 3G-rule set (vaccinated, recovered, tested).
For more information please visit the website of the colloquium.
Link: www.iwr.uni-heidelberg.de/events/iwr-colloquium
HGS MathComp Members will receive 1 ECTS credit for every 4 talks attended. Please make sure to include them in your BlueSheet.
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Bring together researchers from geography, chemistry, biology, hydrology, social sciences, applied mathematics and scientific computing to foster interdisciplinary exchange on the various aspects of water availability and quality.
Format:
Depending on the pandemic situation in the fall, the workshop will either take place as in person event or an online event. Depending on the demand a hybrid format is possible as well, so that participation is also possible without travelling.
Topics:
- Socio-hydrology and water resources management
- Environmental contamination and remediation
- Sustainable technology for water purity
- Cryosphere dynamics
! REGISTRATION REQUIRED !
For more information please visit the webpage of the workshop.
Indo-German Partnerships in Higher Education (IGP) Programme.
Aim:
Bring together PhD candidates from Mathematics, Computer Science and Scientific Computing to study the interplay of efficient numerical algorithms with modern computer hardware.
Format:
First week (October 4-8) is filled with lectures covering all aspects from hardware, programming models and algorithms to applications.
Second week (October 11-15) features small projects lead by a pair of supervisors from India and Germany.
Topics:
- Aspects of modern processor architectures
- Programming models and accelerator programming
- Scalable methods for solving partial differential equations (PDEs)
- Optimal control of PDEs
- Large-scale Bayesian inference and data assimilation
- Energy-aware numerical methods
! Application Deadline: August 20, 2021 !
For more information please visit the website of the school.
Durch Einzel- und Kleingruppenarbeit, Impulse der Trainerin und Peer-Coaching wird Ihnen die Möglichkeit geboten, Ihre persönliche Situation zu reflektieren, berufliche und persönliche Ziele zu entwickeln und erste Schritte zur Umsetzung zu planen.
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This 4EU+ summer school gives insights into several areas were current research heavily influences method development. Participants will get short, precise and high-powered introductions into several research fields. The aim is to provide the first step for young researchers to extend their toolbox of methods and learn some new, powerful and rewarding technique.
The school aims at master and PhD students from the fields of mathematics and computer science as well as students with an interdisciplinary background in computational science applications. Each lecture block will take the participants from the general education level into a small specialization topic to get a first insight into a new subtopic that will help them to extend their knowledge on theory and methods.
The 4EU+ alliance aims to take education to a next, a European level. With its four flagships, the alliance tackles large questions in research that have fundamental impact on our societies and the way we live, learn and develop. Flagship 3, “Transforming science and society: Advancing information, computation and communication” is coordinated by Heidelberg University. Our summer schools are meant to be platforms to get in touch with 4EU+ and to share our vision of modern education.
The school will be held in Heidelberg (Germany). If the situation in regard to COVID-19 makes this impossible, the school will be shifted to a digital format.
Target Audience
Postgraduate students, PhD candidates, postdocs and young researchers:
- from the fields of mathematics and computer science as well as students with an interdisciplinary background in computational science applications.
- Master students from Heidelberg University
Speakers
The 4EU+ school is taught in a series of courses and single lectures by:
- Helle Sørensen, University of Copenhagen
- Filip Sadlo, Heidelberg University
- Ivano Eberini, University of Milan
- Wanda Niemyska, University of Warsaw
- Julien Tierny, Sorbonne University
REGISTRATION REQUIRED / APPLY ONLINE / DEADLINE: JULY 29, 2020
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Erstmals wird das Forum online stattfinden. Alle geschätzten Merkmale des Forums bleiben erhalten oder werden sogar noch besser: von einem virtuellen Gastgeber passend zum Schwerpunktthema, den man besser kennen lernen kann, hochqualitativen Vorträgen mit Diskussion bis zu einer virtuellen Ausstellung, die Gespräche mit den Ausstellern der Exponate ermöglicht. Hier gibt es eine wichtige Änderung, um das Forum zielgerechter durchzuführen: alle virtuellen Exponate sollten auf das Schwerpunktthema abgestimmt sein.
Durch die Online-Veranstaltung sparen alle Teilnehmer Zeit und Kosten für die Anreise und können die aufgezeichneten Vorträge auch noch nachträglich hören. Ausstellern bietet das Forum in Zeiten ausgefallener Messen die einmalige Gelegenheit genau der richtigen und interessierten Zielgruppe ihre zum Schwerpunktthema passenden Neuentwicklungen vorzustellen. Genauere Angaben zu den Möglichkeiten der virtuellen Ausstellung finden Aussteller auf der Anmeldeseite des Forums.
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Fächerübergreifender Kompetenzkurs (FÜK) mit 2 SWS bzw. 3 LP / ECTS.
Neue Technologien aus dem Bereich der 3D Computer Vision bieten zunehmende Möglichkeiten zur Erfassung, Dokumentation und Analyse von Objekten. Damit entstehen neue Forschungsfragen im interdisziplinären Spannungsfeld zwischen Archäologie und angewandter Informatik. In der praktischen Übung werden originale Objekte der Antikensammlung (https://www.uni-heidelberg.de/fakultaeten/philosophie/zaw/klarch/antikensammlung/ antikensammlung.html) mit einem industriellen hoch-auflösenden opitschen 3D-Scanner erfasst und die 3D-Daten anschließend verarbeitet. Die TeilnehmerInnen erhalten eine Einführung in die optische 3D- Messtechnik; dazu gehört die anschließende Datenverarbeitung mit OptoCAT als Bestandteil des 3D- Scanners und mit dem frei verfügbaren GigaMesh Software Framework (https://gigamesh.eu). Nach dieser Einführung können sie selbstständig in Zweier-Gruppen antike Objekte verschiedener Beschaffenheit mit optischen Verfahren vermessen. Die Daten können soweit verarbeitet werden, dass sie z.B. in einem DataVerse (https://heidata.uni-heidelberg.de/dataverse/iwrgraphics) nachhaltig publiziert werden bzw. als Vorarbeit für z. B. einen CVA Band in Form von Ansichten, Profilschnitten und Abrollungen dienen könnten (CVA Beiheft Wien 1: https://austriaca.at/7145-4inhalt?frames=yes). Die Ergebnisse sollen am Ende der Übung von jeder Zweier-Gruppe in digitaler Form als Bild, Video und interaktiv im Web (http://3dhop.net) präsentiert werden um damit die Eigenschaften und Möglichkeiten der 3D-Messtechnik, Computer Vision und Computergraphik für die Forschung im Umfeld der Archäoinformatik (digital bzw. computational archaeology) zu zeigen.
Arbeitsort: Interdisziplinäres Zentrum für wissenschaftliches Rechnen (IWR) im Neuenheimer Feld 205 (Mathematikon), 5.OG, sowie Antikensammlung (Marstallhof 4).
Die 3D-Vermessung der Objekte finden in Zweiergruppen statt, die ihre Zeit selbst einteilen. Wünschenswert sind interdisziplinäre Gruppen bestehend aus Studierenden der Archäologie und der Informatik.
Termine und Teilnahme:
Vorbesprechung und Vorstellung: Montag, 27. April, 14-16oo, Antikensammlung (Marstallhof 4). Die weiteren Termine mit den Zweier-Gruppen werden individuell vereinbart.
Auf Grund des limiterten Zugang zu dem 3D-Labor/Messtechnik und der Sammlung wird die Teilnehmerzahl beschränkt. Ihre Bewerbung für die Teilnahme senden Sie mit dem dem Betreff „[3DFUEK] Teilnahme“ bis spätestens 20. April an hubert.mara@iwr.uni-heidelberg.de
Siehe auch:
Vorgängerveranstaltung: Praktische Übung: 3-D-Scanning im SS19
Es besteht die Möglichkeit zur Anrechnung in der Archäologie.
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Die Aufnahme, Speicherung und Weitergabe großer Mengen von Daten ist eine Aufgabe, der sich menschliche Gesellschaften bereits seit Jahrtausenden zu stellen haben. Einen der größten Meilensteine bildet dabei die Erfindung der Schrift, zuerst nachweisbar im Mesopotamien des 4. vorchristlichen Jahrtausends. Zeugnisse dieses Quantensprungs finden sich unter anderem in der Heidelberger Uruk-Warka-Sammlung, die spektakuläre Funde aus dem Sitz des mythischen Königs Gilgamesch bewahrt. Diese Objekte zeugen jedoch nicht nur von den Leistungen antiker Archivare, sie stellen auch eine Herausforderung für ihre modernen Nachfolger dar. Mit welchen Methoden lassen sich archäologische Daten heute sammeln, bewahren und austauschen?
Antworten darauf liefert das Heidelberger "Forensic Computational Geometry Labratory" (FCGL), an dem Methoden zur Digitalisierung archäologischer Artefakte entwickelt werden. Mittels eines Laserscanners werden die Objekte aufgenommen und über das Programm Gigamesh in digitale 3D-Modelle umgesetzt. Unter anderem kommt dieses Verfahren im Projekt "Scanning for Syria" zum Einsatz, in dessen Zentrum die Sicherung von durch den syrischen Bürgerkrieg bedrohten Kulturgütern steht. Das HAIlight im März bietet Ihnen die Gelegenheit, den Forschern am FCGL bei ihrer Arbeit mit Objekten der Uruk-Warka-Sammlung über die Schulter zu schauen.
Das HAIlight findet am Freitag, den 27.03.2020 um 18:00 Uhr statt und dauert ca. eineinhalb bis zwei Stunden. Die Plätze für die Teilnahme sind begrenzt und werden nach Ablauf der Rückmeldefrist verlost. Details zu Treffpunkt und Veranstaltungsort erhalten Sie in der Teilnahmebestätigung.
Für die Platzvergabe schicken Sie uns bitte bis spätestens Montag, 16.03.2020 unter Angabe Ihres Namens eine E-Mail an hailight@alumni.uni-heidelberg.de. Begleitpersonen können dann teilnehmen, wenn nach Berücksichtigung aller interessierten HAI-Mitglieder noch freie Plätze zur Verfügung stehen. Geben Sie daher bitte auch an, ob es sich bei Ihrer Begleitung um ein Mitglied handelt. Vielen Dank für Ihr Verständnis.
IIT Guwahati and Interdisciplinary Center for Scientific Computing (IWR) of Heidelberg University jointly organise the 2nd RTG Big Data Research Summer School 2020. The event will take place from March 23–27, 2020 at one of the most prestigious institutes in in India — IIT Guwahati. The summer school is aimed at advanced master students and PhD students with a background in scientific computing and mathematics.
Renowned experts will hold lectures and seminars on up to date topics and state of the art methods in big data computing and mathematics. The speakers will be researchers predominately from India and Heidelberg University, Germany. Participating students will actively discuss with the experts, solve problems during workshop sessions and some will have the opportunity to present their own research. This provides unique opportunities to the students to hone their skills.
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Climate change, increasing human mobility and trade, pathogen evolution and resistance, urbanization, and ecological range shifts - all these global factors destabilize the current pattern of infectious diseases, notably those transmitted by vectors. There is general agreement that this will lead to the emergence and re-emergence of a wide range of infectious diseases. In Europe, water and vector-borne diseases such as Vibriosis, Dengue, Chikungunya, West Nile Virus, Lyme disease and Tick-borne encephalitis are proliferating and emerging among previously immunologically naive populations. This may result in severe disease outbreaks, morbidity, mortality, long-term disability and increasing burdens of disease. In Low-and-Middle-Income Countries (LMICs), Ebola has not yet been contained, malaria, Dengue and cholera are still associated with massive disease burdens, and arboviruses are likewise on the rise. Globally, resistance to antibiotics and insecticides is a growing concern. New genotypes and new pathogens are threatening to unleash pandemics with potential to have major societal impact, if not effectively monitored and controlled. The recent Corona virus situation is a good example of how sensitive the global population is to local emergence of viruses with epidemic potential. Achieving the sustainable development goals 2030 requires new methods for monitoring, surveillance and analysis, all of which are key for the deployment of more efficient, timely and strategic prevention.
To address these unprecedented global challenges, the public health professions are called on to develop new approaches and innovative techniques and solutions. We are now entering a world, where increasing availability of high quality, high-dimensional data and advanced computation techniques allow for previously unimaginable levels of precision and granularity with respect to monitoring and forecasting of disease outbreaks, their associated burdens and intervention demands. Digitalization, machine learning and artificial intelligence are still in its infancy in terms of public health applications, but hold great promise for revolutionizing public health decision-making, and for sustaining and safeguarding the global population.
This talk provides a few examples on how data from many different disciplines and domains, including climate, human mobility and social media, can be integrated in machine learning, and help timely risk assessment, better forecasts and support the development of more effective prevention strategies. In the talk I will discuss the methods, findings and give examples of tangible decision tools in the making in collaboration with public health policy makers.
“Mathematics of Life” is a special interest group organized by doctoral students of the HGS MathComp.
In this course, participants will
I. discuss the principle of academic freedom – its history, its juridical status and its formal applicability
II. learn to discern academic freedom and other civil liberties (e.g. open speech, freedom of opinion)
III. understand the complexity of taking action in the face of violations to academic freedom
IV. sharpen our awareness for threats to academic freedom in our own societies.
The course material is in English and discussions will be a mixture of English and German (summaries in English will be possible). We expect engagement and interest – no marks will be given!
The course will be held in consecutive blocks. *Friday sessions* are compulsory (course of one hour/1 stündig), Saturday sessions are optional (course of two hours/2-stündig).
he course will take place in the conference room of Marsilius-Kollleg, Im Neuenheimer Feld 130.1
· *Friday, January 29**^th, **, 10 am – 5 pm */(compulsory)/
· *Friday, February 12**^th, **, 10 am – 5 pm */(compulsory)/
· Saturday, February 13^th, , 10 am – 5 pm
· *Friday, February 19**^th, **, 10 am – 5 pm */(compulsory)/
· Saturday, February 20^th, , 10 am – 5 pm
For participation and any queries, please contact thomas.meier@zaw.uni-heidelberg.de
/Due to Corona-restrictions the number of participants is limited to 15, so please sign up //*soon*//if you are keen to participate./
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A traditional goal of algorithmic optimality, squeezing out flops, has been superseded because of evolution in architecture. Flops no longer serve as a reasonable proxy for all aspects of complexity. Instead, algorithms must now squeeze memory, data transfers, and synchronizations, while extra flops on locally cached data represent only small costs in time and energy. Hierarchically low-rank matrices realize a rarely achieved combination of optimal storage complexity and high-computational intensity in approximating a wide class of formally dense linear operators that arise in applications for which exascale computers are being constructed. They may be regarded as algebraic generalizations of the fast multipole method. Methods based on these hierarchical data structures and their simpler cousins, tile low-rank matrices, are well proportioned for early exascale computer architectures, which are provisioned for high processing power relative to memory capacity and memory bandwidth. Hierarchically low-rank matrices are ushering in a renaissance of computational linear algebra. A challenge is that emerging hardware architecture possesses hierarchies of its own that do not generally align with those of a given algorithm-application pair. We describe modules of a software toolkit, hierarchical computations on manycore architectures (HiCMA), that illustrate these features and are intended as building blocks of applications, such as matrix-free higher-order methods in optimization and large-scale spatial statistics. Some modules of this open-source project have been adopted in the software libraries of major vendors.
Biography:
David Keyes directs the Extreme Computing Research Center at the King Abdullah University of Science and Technology (KAUST), where he was the founding Dean of the Division of Mathematical and Computer Sciences and Engineering in 2009 and currently serves in the Office of the President as Senior Associate for strategic priorities and institutional partnerships.
He works at the interface between parallel computing and partial differential equations and statistics, with a current focus on scalable algorithms exploiting data sparsity.
Before joining KAUST he led multi-institutional scalable solver software projects in the SciDAC and ASCI programs of the US DOE, ran university collaboration programs at US Department of Energy and NASA academic collaboration institutes, and taught at Columbia, Old Dominion, and Yale Universities.
He is a Fellow of SIAM, AMS, and AAAS, and has been awarded the ACM Gordon Bell Prize, the IEEE Sidney Fernbach Award, and the SIAM Prize for Distinguished Service to the Profession.
He earned a BSE in Aerospace and Mechanical Sciences from Princeton in 1978 and a PhD in Applied Mathematics from Harvard in 1984.
For more see the abstract_file:
For more see the abstract_file:
Location: Mathematikon, Conference Room, Room 5/104, 5th Floor, Im Neuenheimer Feld 205, 69120 Heidelberg
The Sequel: Pioneering the Use of Digital Technology in Banteay Chhmar with the IWR, Heidelberg University
John Sanday who is a Conservation Architect, has spent the last 45 years working in Asia. For at least 15 of these years he has worked in Cambodia. Arriving for the first time in Siem Reap in 1989, John and his team pioneered one of the first projects in Angkor - the Preah Khan Conservation Training Project which was supported by the World Monuments Fund. John’s early memories were of the Khmer Rouge skirmishes which were still taking place on the outskirts of the historic city of Angkor – it was a memorable start to several decades of work in one of the greatest monumental cities of its time, which was placed on the UNESCO World Heritage List in 1992.
In the first part of his talk, John will describe his early days of setting up the first major conservation-training programme in the 12th Century Buddhist monastic complex of Preah Khan. He will talk about some of the problems they had to face and the techniques developed in Preah Khan and three other sites in Angkor. There will be illustrations showing Angkor as John found it in the 1990’s and it will set the background for him to side track to another major Khmer site in the far North of Cambodia.
John will dedicate the second half of his talk to one of the lesser known but highly significant Khmer sites known as Banteay Chhmar, which is closely linked to Angkor. This 12th Century Buddhist, monastic complex stylistically emulates the temples in Angkor and belongs to the Bayon period. Banteay Chhmar became John´s link with IWR and its team. John and Hans Georg Bock had been fantasizing for many years on trying to link heritage conservation with applied mathematics. Here in Banteay Chhmar, they initiated an extraordinary project and a way of using ‘state of the art’ technology to digitally reconstruct iconic face tower as well as sections of the enclosure wall with its exquisite bas-relief carvings. Precise dimensions of hundreds of stone blocks were recorded digitally to recreate the tower, which had to be dismantled and rebuilt, as well as the fallen stones of the bas relief as the first step to their reconstruction.
Khmer architect Dr. Pheakdey Nguonphan (Royal University of Phnom Penh) and Dr. Anja Schäfer (IWR) developed the digital technology and formed a multi-disciplinary research team including stone masons from Preah Khan. John will describe the system, that was developed to solve “John’s Puzzle” and illustrate how the stones began to recognize their original positions in the structures, without having to move the stones manually.
There will be time for questions and discussion at the end.
! Meet & Greet: 13:40, Mathematikon, Common Room, 5th Floor !
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Location: Mathematikon, 2th Floor, room 2.414, Im Neuenheimer Feld 205, 69120 Heidelberg
The internet age and growth of social networks was a game changer for human sciences. If previously researchers and analysts had to carefully design data collection processes, now people are sharing their thoughts and concerns on a daily (or hourly) basis. In this workshop we are going to introduce GCP pipelines from streaming Twitter API’s data into a data warehouse. Afterwards, we will perform sentiment analysis and network analysis to find the patterns in user’s behavior. Finally, using visualization tools in python, we will prepare effective communication of the results.
Target Group:
- Students majoring in economics,
information systems and natural sciences.
Hardware/ Software Requirements (Student):
- Laptop
- Anaconda
installation instructions:
https://docs.anaconda.com/anaconda/install
- A google account
Please register here
Understand the process of Business Model Innovation to bring an idea to a monetizable business level including a financial planning. To execute and implement business ideas through Business Development using methods like Value Proposition Canvas, Business Model Canvas, Strategic Innovation Canvas and through Business Analysis using methods like SWOT, PEST and Balanced Scorecard.
Understand techniques for business problem-solving in the areas of ideation, prototyping and testing. Ideation based on problem definition, following rapid prototyping using different tools like LEGO, 3D-Printing and Software Mock Ups, and to get feedback through testing like split tests and iterative customer interviews.
Understand how to present a business idea to motivate customers, supporters, multiplicators, partners and investors through a meaningful pitch deck and agile business plan. An understanding of the framework EXIST Idea Paper will help to apply for potential future funding.
Understand user-centric problem identification such as Design Thinking. Observation of customer needs through interviews and persona creation as well as point-of-view definitions will help to prioritize relevant problem fields.
Understand the basic principles of machine learning and computer vision, such as deep neural networks, necessary to launch a start-up as a business person.
Understand the high-level concepts of the different fields of machine learning, such as reinforcement learning, active learning, supervised and unsupervised learning.
Understand the state-of-the art of computer vision and machine learning, such as object recognition and motion estimation, in order to create ideas for a business model.
Understand the application and connection of machine learning and computer vision techniques to related fields such as hardware design, camera design, robotics, medicine and biology.
Content:
What is the way from identifying a potential market need, until planning and executing a business idea in the area of AI?
This course is split in four parts:
a) Technical part. Short introduction to machine learning. Discussing the different areas in AI, especially machine learning and computer vision, such as deep neural networks, reinforcement learning, active learning, and unsupervised learning. Presenting the state of the art in computer vision and machine learning, such as object recognition, motion estimation, and domain adaption. State of the art in hardware design especially camera design. Discussing the connection of Machine learning and computer vision with related fields such as biology, medicine and robotics.
b) Business part. This part will provide the development from problem to solution using Design Thinking bridging to Business Model Innovation where the idea is formed, streamlined and scaled into a monetizable business idea. We will cover elements like Elevator Pitch, Story Telling, Team Introduction, Business Model (Core Business including Value Proposition, Customer Segment, Customer Relationship and Channels combined with Key Partners, Key Activities and Key Recourses as well as Revenue Streams and Cost Structure), Competition, Market Entry and Closing with Call-to-Action will be processed during the course.
c) We will Invite AI-based start-ups to talk about their expertise
d) There will hands-on sessions and a final project where you should come up with your own AI-based startup.
The block course is in general characterized by high interactivity and workshop character
Teilnahmevoraussetzungen: none.
Prüfungsmodalitäten: There will be no marks. In order to pass the course, the students must attend the course and pass the practical project.
Useful literature:
- Blank, S. & Dorf, B.: The Startup Owner_s Manual: The Step-By-Step Guide for Building a Great Company, K&S Ranch.
- Lewrick, M. et. al.: The Design Thinking Playbook: Mindful Digital Transformation of Teams, Products, Services, Businesses and Ecosystems, Wiley.
- Osterwalder, A. et. Al.: Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers, Wiley.
- Gassmann, O. et. al.: The Business Model Navigator: 55 Models That Will Revolutionize Your Business, Financial Times.
- Deep Learning by Ian Goodfellow, Yoshua Bengio, Aaron Courville
- Online Course: https://www.coursera.org/learn/machine-learning.
(Since the field of machine Learning and Computer Vision is moving so rapidly there are no books which cover the latest trends. Good (but older) books are:
- Pattern Recognition and Machine Learning, Christopher Bishop
- Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
https://hci.iwr.uni-heidelberg.de/content/design-your-ai-based-startup
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Location: Mathematikon, Im Neuenheimer Feld 205, 69120 Heidelberg
14:00-15:00 Talk
15:00-15:30 Discussion with the speaker after the talk, coffee will be provided
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- Computergestützte Analyse von Burgen, Urkunden und Landkarten
- Dokumentation basierend auf 3D-Modellen, QGIS und Neo4j
- Neue Methoden für die digitale Bauforschung
- Informationsgewinnung mit Personennetzwerken
Registrierung notwendig!
Location: Mathematikon, Conference Room, Room 5/104, 5th Floor, Im Neuenheimer Feld 205, 69120 Heidelberg
Location: Mathematikon, Conference Room, 5th Floor, Room 5/104, Im Neuenheimer Feld 205, 69120 Heidelberg
Both of them are agile approaches to project management. Agile project management is one answer to the growing speed in which projects need to be delivered and the realization that many projects are not delivered as originally planned. This is especially true for projects with volatile or unclear requirements at project start.
Concepts like continuous improvement, fast feedback cycles, limiting work in progress and transparency can bring value to teams as well as to individuals.
During this workshop you will learn:
- What is Agile? Get an overview of agile principles, values, techniques and methods
- How to use Kanban for your personal use? Boost your productivity and get things done!
- How can Kanban be introduced to a team? Streamline work between team members and create transparency on status
- How can Scrum be adapted in an academic environment? Use a process framework to improve collaboration and knowledge-sharing between lab members and cut down your fixed meeting times
Program:
9:00-12:00
- Agile introduction - origins, mindset & term definition
- Introduction to Scrum Framework
- Introduction to Kanban
- Applying theory into practice (Part 1)
- Personal Kanban - how to gain focus and transparency in your daily work
13:00-15:15
- Applying theory to practice (Part 2)
- Kanban for teams - lightweight way to introduce an agile method to a team
- LabScrum - a process framework to manage work in academic scientific research
Please register here
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The Navier-Stokes equations are central to fluid dynamics and its applications to engineering and physics, describing viscous turbulent flow, e.g. of air around an aeroplane wing, weather patterns and blood flow through arteries. Despite the wide-ranging applicability of the Navier-Stokes equations, it is still not known whether they always admit smooth solutions, which contain no unphysical "blow-ups", or singularities.
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Location: Seminar Room A, Mathematikon
challenging task because performance usually conflicts genericity.
Genericity makes programmers productive as it allows them to separate
their software into components that can be exchanged and reused
independently from each other. To achieve performance however, it is
mandatory to instantiate the code with algorithmic variants and
parameters that stem from the application domain, and tailor the code
towards the target architecture. This requires pervasive changes to
the code that destroy genericity.
In this talk, I advocate programming high-performance code using
partial evaluation and present AnyDSL, a clean-slate programming
system with a simple, annotation-based, online partial evaluator. I
will show that AnyDSL can be used to productively implement
high-performance codes from various different domains in a generic way
map them to different target architectures (CPUs with SIMD units,
GPUs). Thereby, the code generated using AnyDSL achieves a performance
that is in the range of multi man-year, industry-grade,
manually-optimized expert codes and highy-optimized code generated
from domains specific languages.
In an informal workshop we will bring together experts from the relevant scientific areas, computational physics, materials science, and biological matter, and will leave room for a few contributed talks from participants as well as many discussions among speakers and participants. There is the possibility to participate in a small practical workshop on force distribution analysis (FDA).
The workshop is completely free of charge.
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Day 1 (Motivation) 09:00 - 12:00
I. Review of FEM error estimation and adaptivity for elliptic PDEs
II. Adaptive timestepping for parabolic PDES
Day 2 (Spatial adaptivity) 09:00 - 12:00
I. Error reduction estimates; marking strategies; proof of convergence
II. Goal-oriented adaptivity; dual problems; numerical experiments
Day 3 (Parametric enhancement) 09:00 - 12:00
I. Stochastic Galerkin approximation; solver ingredients
II. Combining spatial and parametric adaptivity; numerical experiments
Day 4 (Extensions) 09:00 - 10:00
I. Solutions to exercises; open issues; lessons learned
Tutorial Classes
Students will need to have access to a computer or laptop
with MATLAB or Octave installed. The exercises will be based on
the T-IFISS software package which can be downloaded from
http://www.manchester.ac.uk/ifiss/tifiss.html
All talks will be in English!
The preliminary schedule and the registration form can be found here. The participation in the seminar is free of charge, but please register using the registration form for organizational reasons if you plan to participate!
Registration form
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Target Audience:
Postgraduate students, PhD candidates, postdocs and young researchers:
- from Natural and Life Sciences: Microscopy, Biology, Medical, Physics,…
- with interest in Machine Learning
- Master students from Heidelberg University (core course listed in LSF)
Speakers:
The IWR School 2019 is taught in a series of courses and single lectures by:
- Christoph Lampert, Institute of Science and Technology Austria
- Oliver Stegle, European Bioinformatics Institute
- Robert Scheichl, Heidelberg University
- Dominik Janzing, Max Planck Institute for Intelligent Systems
- Klaus Maier Hein, German Cancer Research Center
- Bjoern Ommer, Heidelberg University
- Ullrich Köthe, Heidelberg University
- Anna Kreshuk, European Molecular Biology Laboratory
For more information please visit the website of the IWR School 2019.
For more see the abstract_file:
Location: Mathematikon, Conference Room, 5th Floor, Room 5/104 & SR12, Im Neuenheimer Feld 205, 69120 Heidelberg
Please register here
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Location: Mathematikon, SR12 (5th floor), Im Neuenheimer Feld 205, 69120 Heidelberg
This course will consist of lectures as well as practical exercises. Therefore, participants are encouraged to bring laptops (please contact me in case laptop sharing is desired). There is no prior software or programming experience necessary.
Please register here
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The aim of the workshop is to bring together researchers working in Uncertainty Quantification, Machine Learning and Bayesian Statistics with a particular focus on high- and infinite-dimensional problems from scientific computing, where the sparsity or uncertainty of data requires an integration of inference and learning algorithms with established physical models, such as partial differential equations. Advances in this complex field of research require a concerted effort from many disciplines, which we hope to foster at the workshop.
This workshop is part of the Thematic Semester Uncertainty Quantification, Machine Learning & Bayesian Statistics in Scientific Computing at MAThematics Center Heidelberg (MATCH) in conjunction with the Excellence Cluster STRUCTURES. The financial support from MATCH and from the Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences (HGS MathComp) is gratefully acknowledged.
Registration required!
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"Guided Parameter Exploration in Interactive Visualization"
Prof. Stefan Bruckner, University of Bergen, Norway
Over the past decades the field of visualization has firmly established itself as an important and constantly expanding discipline within computer science. Computer-based visualization seeks to provide interactive graphical data representations, taking advantage of the extraordinary capability of the human brain to process visual information. Advanced visualization methods now play an important role in the exploration, analysis, and presentation of data in many fields such as medicine, biology, geology, or engineering. This development, however, has also lead to the fact that there is now a vast number of often very specialized techniques to visualize different types of data tailored towards specific tasks. Hence, particularly for non-experts, it becomes increasingly difficult to choose appropriate methods that will provide the optimal answers to their questions.
In this talk, I will discuss previous and ongoing research on how we can explore and navigate the space of visualizations itself. By consider the interplay between data, visualization algorithms, their parameters, perception, and cognition as a complex phenomenon that deserves study in its own right, we are making progress in providing goal-oriented interfaces for visual analysis. For instance, we can make the modification of input parameters of visualization algorithms more intuitive by normalizing their perceived effects over the entire value range, and provide visual guidance about their influence. Furthermore, by incorporating additional knowledge into the visualization process, we can infer information about the goals of a user, and develop smarter systems that automatically suggest appropriate visualization techniques. This line of investigation leads us along the path towards a new type of visual data science, where automated data analysis approaches such as deep learning are tightly coupled with interactive visualization techniques to exploit their complementary advantages for knowledge discovery in data-driven science.
10:00 Uhr
"Topological and Morphological Analysis of Flow Fields and Beyond"
Prof. Filip Sadlo, Universität Heidelberg
This talk focuses on four active branches in scientific visualization research: topological analysis, feature extraction, volume rendering, and solver visualization. We examine various roles of topological analysis in flow fields and beyond, we investigate feature extraction in higher dimensions and higher order, we extend volume rendering beyond direct geometrical optics, and we extend scientific visualization from the traditional analysis of simulated data to analysis of the numerical solvers that produce the data. On the application side, we discuss the utility of the investigated visualization techniques in the natural and life sciences, and indicate possible directions of future research.
11:00 Uhr
"Insights from the Pixel Dump: Scientific Image Visualization"
Prof. Thomas Schulz, Universität Bonn
Big, complex, and dynamic image data play an increasing role in science and medicine. This poses important and interesting challenges to scientific visualization, since the traditional visual inspection of raw images is no longer a suitable strategy for their effective and efficient interpretation. Instead, mathematical modeling, feature extraction, and machine learning are required to pre-process the data, and to allow the human user to reason about it at a higher level of abstraction. This talk will illustrate these points with several specific examples from diffusion Magnetic Resonance Imaging, as well as image data from ophthalmic epidemiology.
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The goal of this workshop is convening top researchers in the fields of flow and eigenvalue problems in order to understand the interplay of the interacting components better and to profit from recent research of groups with different focus. Furthermore, its aim is intensifying cooperation between the members of PIMS and universities in Germany with a clear focus on common interest.
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Pattern formation is also an important topic in materials science. For example, the nature of formation and evolution of nano-scale structures in energy conversion devices such as fuel cells and solar cells is decisive for the quality of the performance of these devices. Though some of these patterns are well characterized, there are other that we are only beginning to understand. Mathematical modeling is a powerful technique to address key questions and paradigms in diverse model systems and to provide quantitative insights into the role of the nonlinear and nonlocal interactions within the systems and with the external fields as well as of the growth and transport processes and their impact on the observed patterns.
Although applied to specific biological, ecological, chemical, medical or physical systems, mathematical models allow for a comparative analysis of design principles in diverse systems. The focus of this proposed conference is to present and analyze models of partial and integro-differential equations applied to problems of spatio-temporal patterning. The goal of the meeting is to bring together specialists in Germany and from PIMS universities working on different aspects of the field, including mathematical modeling and applications, analysis of the underlying equations as well as numerical simulation, in order to exchange ideas, present new techniques, and identify challenging new research directions of common interest. The focus will be in identifying and understanding of mechanisms of pattern formation including formation of travelling waves, stationary and dynamical patterns, the effect of mechanical-chemical forces on patterns, stability and bifurcation theory, mechanisms underlying collective dynamics in cell signalling, and the emergence of singularities. Applications to developmental biology, ecology, cell-signalling, and materials science will be presented and discussed.
The outcome of the workshop will be two-fold. Firstly, various mathematical methods and techniques presented for diverse types of model PDE sytems in biology, will lead to cross-fertilization and will help solving in tackling problems related to different applications. Secondly, this workshop will identify common research interests and establish new research collaborations on specific projects among researchers at PIMS and at Universities in Heidelberg, Munster and Berlin.
Location: Mathematikon, Conference Room, 5th Floor, Room 5/104, Im Neuenheimer Feld 205, 69120 Heidelberg
Afterwards there will be a Meet & Greet with Pizza and Beer (and non-alcoholic beverages)!
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Preprint available on https://arxiv.org/abs/1902.06984
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[1] Al-arydah, M. (2018). Estimating the Burden of Lung Cancer and the
Efficiency of Home Radon Mitigation Systems in some Canadian Provinces.
Science of the Total Environment, 626, , 287-306.
[2] Al-arydah, M. (2017). Population attributable risk associated with lung
cancer induced by residential radon in Canada. Sensitivity to relative risk mo-
del and radon. Science of the Total Environment. http://dx.doi.org/10.1016/j.scitotenv.2017.04.067.
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Katharina Anders, Bernhard Höfle, Hubert Mara
Compact Course & Workshop:
- Automatic methods for 3D geospatial data processing
- Geographic applications of 3D data analysis
- Hands-on: 3D point cloud and mesh analysis
- Programming and research challenge: Development of computational methods for 3D information extraction
Invited speakers:
- Prof. Dr. Andreas Nüchter, University of Würzburg
- Jorge Martínez Sánchez, University of Santiago de Compostela
Registration:
Please register on the website of the Compact Course until February 15, 2019
www.uni-heidelberg.de/stap19
Project Auto3Dscapes:
www.uni-heidelberg.de/auto3Dscapes
Contact: Katharina Anders
katharina.anders@uni-heidelberg.de
Twitter:
#STAP19
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Biography:
Hadley Wickham has pioneered the development of advanced data visualisation and analysis approaches for the R statistical computing platform. He holds a BSc. in Human Biology, and a BSc. and MSc. in Statistics from the University of Auckland. He went on to work with Di Cook and Heike Hofmann at Iowa State University, and obtained his PhD in 2008. In 2007, Hadley released ggplot2 - a data visualisation library based on Leland Wilkinson`s "The Grammar of Graphics", and in 2013, unveiled "The Tidyverse" - a collection of libraries and methodological approaches for the efficient manipulation of complex data in R. His contributions to the field were recognised in 2008, with his receipt of the John Chambers Award for Statisical Computing, and in 2015, he was made a fellow of the American Statistical Computing Association.
Educational qualifications:
BSc. Human Biology, U. Auckland, NZ.
BSc. MSc. Statistics, U. Auckland, NZ.
PhD Statistics, Iowa State U., USA.
Professional Awards:
2008. John Chambers Award for Statistical Computing
2015. Fellow of the American Statistical Association
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Description:
This touring exhibition, whose starting point is the 7th ECM held in July 2016 in Berlin, stems from the observation that nowadays, women still find it difficult to embrace a career in the mathematical academic world and the disparity between the proportion of men and that of women among professional mathematicians is still shamefully large.
The thirteen women mathematicians portrayed here share with us their experience, thus serving as role models to stimulate young women scientists to trust their own strength. In presenting mathematics through women mathematicians’ perspectives and samples of their life stories, we hope to highlight the human aspects of producing mathematics, making this discipline more tangible and therefore more accessible to outsiders or newcomers.
This exhibition and the catalogue (publishing house: Verlag am Fluss) are the result of the joint efforts of the photographer Noel Tovia Matoff and four mathematicians by Sylvie Paycha, Sara Azzali, Alexandra Antoniouk, Magdalena Georgescu, with the precious help of Maria Hoffmann-Dartevelle, who translated into German and Sara Munday, who proofread the interviews and, last but not least, our two inspired graphic designers Wenke Neunast/eckedesign (exhibition) and Gesine Krüger (catalogue).
Link Exhibition
The event is kindly supported by the Heidelberg Laureate Forum Foundation (HLFF).
The exhibition will be on display from February 26 - May 31, 2019 at the Foyer of the Mathematikon.
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Location: Marsilius Tower 130.3, INF 69120, in the 1st floor room K9.
Location: Mathematikon, INF 205, 5th floor, SR 10
This seminar demonstrates how to approach the doctoral thesis in a professional way. Project management tools and techniques are used, tailored to the specific situation of PhD students. You will learn how to set a project vision, define clear objectives, gain buy-in from your supervisor and other colleagues in your group, and how to develop a project plan, which is structured and at the same time flexible enough to easily adjust to unexpected findings. You will establish a "controlling cycle" which helps you to recognise risks and problems as early as possible, and you will learn how to manage critical situations and deal with ups and downs. Furthermore, networking with colleagues, supervisors and other people are important topics of this seminar.
Throughout the seminar, you will work on your own doctoral thesis and share your experience with others. This seminar is most beneficial for PhD students who are in the early phases of their doctoral thesis. At the end of the seminar you will have established a strategy on how to approach your own doctoral thesis. During the follow-up REVIEW we will share experience and best practices and deal with open questions from the first module.
This seminar will help you to make the most effective use of your three years and finish your doctoral thesis on time.
You will also learn and practise the basic concepts of project management – a prerequisite in industries and research institutions.
Please register here:
https://hgs.iwr.uni-heidelberg.de/Portfolio_HGS/VERANSTALTUNGEN/reg_form/reg_form.php?id=228
This workshop will focus on new developments in the area of membrane biology using molecular dynamics simulations and integrative computational techniques. The workshop will broadly cover themes specific to membrane signaling, membrane mechanics, and recent trends in integrating experimental data into computational structure and function that will aid in the prediction of proteins in/at membranes.
Registration required!
Location: IWR, Heidelberg University, INF 205 (Mathematikon), 5.104
Was ist von der Materialforschung in der nächsten Dekade an Entwicklungen noch zu erwarten? Wie wirken hier die unterschiedlichen Forschungsrichtungen zusammen? Und welche Rolle spielt die computergestützte Simulationstechnik bei diesem Paradigmenwechsel von der experimentellen Entwicklung neuer Materialien zur gezielten Planung von Materialeigenschaften am Computer? Mit diesen Fragen beschäftigt sich der 16. Modellierungstag. Wir haben Experten aus Universitäten, Forschung und Produktion eingeladen, um in Impulsvorträgen und praxisnahen Diskussionen die zentralen Fragestellungen aus diesem interdisziplinären Feld zu erörtern.
Die Veranstaltung wird von HGS MathComp und der Stadt Heidelberg organisiert sowie von der IHK Rhein-Neckar und der Industrie unterstützt.
Die Teilnahme an der Veranstaltung ist nach der Anmeldung kostenfrei. Um Anmeldung bis zum 20. Januar 2019 wird gebeten.
Anmeldung
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Location: Centre for Organismal Studies Heidelberg (COS), Seminar Room 00.005, INF 230, 69120 Heidelberg
John will briefly describe his early days of setting up the first major conservation training programme in the 12th Century Buddhist monastic complex. As many of you will be able to recall the time we have spent together in Angkor, I will take this opportunity to describe some of the problems we had to face and the techniques we developed in Preah Khan and three other sites in Angkor to conserve the structures with minimal intervention. There will be plenty of illustrations showing Angkor as John found it in the 1990’s and it will provide an excuse and set the background for him to side track to another Khmer style site in the far North of Cambodia.
Banteay Chhmar, one of the great Khmer sites, is closely linked to Angkor despite it being about 100km to its north. This 12th Century site, which is stylistically emulates the temples in Angkor of the Bayon period, is my link with IWR as it was the birth of an extraordinary project which Professor Georg Bock and had been fantasizing for many years trying to link heritage conservation with applied mathematics. We found a way of using ‘start of the art’ technology to digitally reconstruct a section of exquisite bas relief carvings on a stone enclosure wall which enclosed the temple complex known as Banteay Chhmar. This project need careful measurement and digital recreation of the fallen sections as the first step to their reconstruction following a highly sensitive conservation intervention to protect the decorative stone carvings. The Bas Relief Wall measures 1,400 metres in length of which 75% has collapsed.
Similarly, a free-standing sandstone tower supporting four carved images of, possibly the king or maybe the Buddha, measuring approximately 15 metres high, was threatening imminent collapse. These two different architectural elements were selected to test a system for digital re-assembly.
A section of the enclosure wall was selected. Each stone in was measured and referenced. Missing stones were located and the decorative stones were carefully dismantled and each stone was scanned. A process was also developed for the consolidation and cleaning of these masterpieces ready for reconstruction.
Drawings of the Tower were prepared referenced and carefully dismantled and each stone was scanned.
John will describe the system which IWR developed to solve “John’s Puzzle”, Khmer architect Dr. Peakdey Nguonphan and Dr. Ann from Germany headed up the team which developed the digital technology.
As a result of this multi-disciplinary research and along with support from many of the IWR teaching staff, the stones began to recognize their original positions in the structures and along with the knowledge and experience of the Khmer stone masons who had worked with us in Preah Khan, progress was made. I will explain the full process with illustrations.
Time will be allocated for questions ad discussions.
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Location: Mathematikon, INF 205, 5th floor, conference room
What is a patent – what is the use of a patent
What is patentable – criteria of the patent examination process
Difference between software copyright and patent
Best practice for patenting your invention
Location: INF 205, SR 2
Häufig müssen Mitarbeiter/innen von Hochschulen oder Forschungsinstituten ohne entsprechende Vorerfahrung an Projektanträgen arbeiten. Möglichkeiten der hausinternen Unterstützung oder des Austausches mit projekterfahrenen Mitarbeitern/innen sind selten. Dadurch gehen wertvolle Zeit- und Personalressourcen verloren. Dieses Seminar hat deshalb zum Ziel, die Antragstellung stärker zu professionalisieren, Tipps und Tricks zu vermitteln und im Endeffekt eine höhere Erfolgsbilanz zu erzielen.
Im Seminar gehe ich mit Ihnen Schritt für Schritt die wesentlichen Aspekte der Antragsgestaltung durch und erkläre diese an Beispielen. Dabei werden auch einige Grundlagen des Projektmanagements vermittelt. Denn Fehler, die bei der Planung gemacht werden, können später zu schwerwiegenden Folgen im Verlauf des Projektes führen.
In diesem Seminar werden Problemstellungen aufgegriffen wie:
• Wie entwickle ich aus meiner Idee ein perfektes Konzept?
• Antragssprache – Antragsprosa: Einige Schreibtipps
• Wie interpretiere und verstehe ich ein Förderprogramm? Was muss ich beim Antragschreiben unbedingt berücksichtigen?
• Über den Umgang mit Gutachtern: Evaluationsprozesse, Wie wird ein Antrag gelesen? Welche Faktoren führen zu Entscheidungen?
• Wo und wie finde ich Partner und wie binde ich diese in ein Konsortium ein?
• Wie recherchiere ich nach Förderprogrammen?
• Wie passe ich meine Idee an die Vorstellungen des Förderers an?
Da jedes Programm andere Fo?rderbedingungen stellt, werde ich mich auf einige fachspezifisch passende Pro- gramme konzentrieren. Grundbedingungen und Vorgehensweise in der Antragsgestaltung sind jedoch auf alle Förderprogramme übertragbar.
Alle Projektphasen oder wichtige Themen werden in Arbeitsgruppen vertieft. Einige TeilnehmerInnen werden im Seminar Gelegenheit haben, aktiv in Arbeitsgruppen an eigenen Projektantra?gen zu arbeiten und diese mit ent- sprechendem Feedback von mir sowie den anderen TeilnehmerInnen zu einem Grobkonzept zu entwickeln. Nutzen Sie diese Chance! Bringen Sie nach Möglichkeit eine Projektidee mit, die Sie gerne zu einem Antrag ent- wickeln würden. Ich werde vorbereitend vor dem Seminar noch einen Fragebogen versenden um evtl. passende Förderprogramme recherchieren zu können.
1. Tag
*Phase 1: Vorantragsstrategie & Basics*
Das Zeitproblem bei der Antragstellung Strategische Tipps
Pluspunkte im Konzept erlangen
Fehler und Fallen
Die Rolle der Gutachter Antragsprosa - Schreibtipps
Antragstellung Schritt für Schritt Projektideenentwicklung Erstellen einer Kurzskizze
2. Tag
*Phase 2: Förderpolitik & Recherche*
Professionell Projektanträge konzipieren
Programm für zwei Tage
Vom Umgang mit Fördermittelgebern / Förderprogramme
Förderpolitik und Förderphilosophie
Wie interpretiere und verstehe ich ein Förderprogramm? Was muss ich beim Antragschreiben unbedingt berücksichtigen?
Programmrecherche – Wie und wo?
Information über diverse Förderprogramme, je nach Bedarf der Teilnehmenden
*Phase 3: Grobplanungsphase*
Anpassung der Idee an die Förderbestimmungen
Formulare und Bürokratie - Der Horror schlechthin? Der verwaltungstechnische Teil des Antrags Von der Skizze zum Konzept: Die inhaltliche Ausgestaltung des Projektantrages
Weitere Konzeptanpassungen
*Phase 4: Detailplanungsphase*
Projektorganisation: Partner und ihre Rollen im Projekt
Erarbeitung der Projektstruktur: Methoden der Projektplanung als Grundlage des Finanzplans
Bitte hier anmelden
Location: Mathematikon, SR 12
Im eintägigen Workshop zur Zielkultur Indien erhalten Teilnehmende die Möglichkeit Ein-blicke in Eigenheiten der indischen Kultur zu erhalten und die Vielfalt der selbigen kennen-zulernen. Gerade im Umgang mit Mitmenschen anderer Kulturen ergeben sich eine Vielzahl von Möglichkeiten für Konflikte und Missverständnisse, die durch einen achtsamen Umgang (auch mit den eigenen Erwartungen) die Zusammenarbeit positiv beeinflussen kann.
Neben Einblicken in die Kultur werden im Workshop auch eigene kulturelle Prägungen ana-lysiert und deren Verallgemeinerbarkeit reflektiert.
Inhalte
* Nationalkultur, Berufskultur oder Familienkultur: Was ist Kultur?
* Einfu?hrung in die indische Kultur
* Kulturdimensionen nach GLOBE und Einordnung der deutschen und indischen Kultur
* Stereotype und Vorurteile: Wie gelingt ein sensibler Umgang?
* Unsicherheitsvermeidung und Kommunikation als zentraler Schlu?ssel zu deutsch-indischer Zusammenarbeit
* Aktives Erwartungsmanagement auf beiden Seiten
* Alltagsbeispiele und Best Practices aus Unternehmen und Universitäten
Methoden
* Kurzvorträge
* Offene und geleitete Diskussion
* Praktische Übungen (einzeln sowie in Gruppen)
Anmeldung: https://hgs.iwr.uni-heidelberg.de/Portfolio_HGS/VERANSTALTUNGEN/reg_form/reg_form.php?id=221
10:00-11:00 Registration and coffee
11:00-12:00 Herbert Edelsbrunner (IST Austria)
12:00-13:30 Lunch
13:30-14:30 Heather Harrington (University of Oxford)
14:30-15:15 Coffee Break
15:15-16:15 Ulrich Bauer (TU München)
16:30-17:30 Egor Shelukin (University of Montreal)
Due to space constraints we ask participants to register for this workshop with name and affiliation at:
persistence@mathi.uni-heidelberg.de
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Online-Registrierung
Die Teilnahme ist nach Anmeldung kostenfrei.
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Online-Registrierung
Die Teilnahme ist nach Anmeldung kostenfrei.
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- Kann Artificial Intelligence im digitalen Zeitalter das Rätsel alter Schriften und Sprachen knacken? Welche Computeranwendungen und Algorithmen helfen bei der Analyse antiker Schriften?
- Wie sehen die Dokumentationstechnologien von Text und Schrift in 3D und 2D aus?
- Welche neuen Methoden gibt es für die digitale Paläographie?
- Welche Voraussetzungen und Standards sind für die nachhaltige Nutzung notwendig?
- Diesen Fragen geht der interdisziplinäre Workshop mit zahlreichen Experten nach.
Der Workshop ermöglicht Vertretern verschiedener Disziplinen, die sich mit Computeranwendungen und quantitativen Methoden in der Schrift- und Sprachforschung beschäftigen, mehr über laufende Forschungsprojekte oder Abschlussarbeiten zu erfahren sowie über die Möglichkeiten und Grenzen verschiedener Methoden zu diskutieren. Im Mittelpunkt des Workshops steht die Zusammenarbeit zwischen Informatik und Altertumswissenschaften.
Neben Kollegen, Postdoktoranden und Doktoranden sind auch ausdrücklich Studierende, die ihre digitalen Kenntnisse erweitern, bzw. begonnene Arbeiten diskutieren möchten, herzlich willkommen.
! Anmeldung erforderlich ! (Deadline: 15. Oktober 2018)
Location: Mathematikon, INF 205, Common Room
Location: Mathematikon, Conference Room, 5th Floor, Room 5/104, Im Neuenheimer Feld 205, 69120 Heidelberg
*Meet & Greet at 16:45, Conference Room / 5th Floor*
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Der interdisziplinäre Workshop „Scientific Computing und Verkehr – die Mobilität der Zukunft", organisiert vom IWR in Zusammenarbeit mit dem Institut für Rechtsmedizin und Verkehrsmedizin Heidelberg, richtet sich an Vertreter verschiedener Fachbereiche und Disziplinen und wird Themen aus den Bereichen „Automatisiertes Fahren“, „Verkehrssicherheit“ und „Verkehrsmedizin“ ansprechen. Hierbei sollen neueste Entwicklungen, laufende Projekte und innovative Forschungsideen vorgestellt werden.
- Automatisiertes Fahren: welche Daten können erhoben und genutzt werden, um den komplexen Strukturen des Verkehrs gerecht zu werden und diese zur Erhöhung der Verkehrssicherheit einzusetzen?
- Verkehrssicherheit: Durch Vernetzung welcher Technologien kann die Verkehrssicherheit erhöht werden? Wie muss die die Infrastruktur der Stadt der Zukunft aussehen und warum?
- Verkehrsmedizin: Wie können innovative computergesteuerte Systeme zur Analyse und Rekonstruktion der Verletzungsmechanik Verunfallter beitragen?
Die Teilnahme am Symposium ist kostenfrei. Da die Anzahl der Teilnehmer jedoch beschränkt sein wird, bitten wir um Registrierung bis spätestens 28.09.2018. Bitte beachten Sie, dass Sie sich für die Tage einzeln anmelden müssen!
Registrierung Tag 1 (11.10.2018)
Registrierung Tag 2 (12.10.2018)
The IWR School 2018 is taught in a series of courses by:
- Tobias Achterberg, Gurobi
- Hans Georg Bock, Heidelberg University
- Christian Kirches, Technical University of Braunschweig
- Ekaterina Kostina, Heidelberg University
- Martine Labbé, Université Libre de Bruxelles and INRIA
- Gerhard Reinelt, Heidelberg University
- Stephen J. Wright, University of Wisconsin-Madison
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Prof. Fox is the most recently appointed Romberg Visiting Scholar at the HGS MathComp.
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This approach is shown to be particularly well-suited for scalable optimization of large-scale complex systems. Instead of having to use simpler models, the proposed multi-layered modeling of system dynamics in energy space offers a promising basic method for modeling and controlling inter-dependencies across multi-physics subsystems for both ensuring feasible and near-optimal operation. It is illustrated how this approach can be used for understanding fundamental physical causes of inefficiencies created either at the component level or resulting from poor matching of their interactions.
This talk is based on the recent paper by M. D. Ilic and R. Jaddivada entitled "Multi-layered interactive energy space modeling for near-optimal electrification of terrestrial, shipboard and aircraft systems”, Annual Reviews in Control, available online May 2018. The paper provides theoretical foundations for Dynamic Monitoring and Decision Systems (DyMonDS) framework envisioned as the next-generation SCADA.
The control design based on joint work with Xia Miao and R. Jaddivada for microgrids and integration of renewable resources and demand response is used as an example to illustrate potential benefits of this approach.
Finally, many open modeling, estimation and optimization challenges/opportunities using this modeling approach are discussed.
*Get-Together at 15:30 Common Room (5th Floor)*
Location: Institut für Umweltphysik, INF 229, Seminarraum 108/110
As usual, in accordance with university guidelines, we have to charge 10,- EUR per person to cover expenses - children attend free of charge.
July 26, 2016 • 18:00 - 22:00
Mathematikon • Atrium
Im Neuenheimer Feld 205
69120 Heidelberg
! Please make sure to register online for the event !
(Registration Deadline: June 23, 2018)
Online Registration
Further inquiries:
Ria Lynott (ria.lynott@iwr.uni-heidelberg.de)
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I will discuss major approaches and illustrate strengths and limitations with examples.
Location: Mathematikon, Im Neuenheimer Feld 205, SR 10
In this presentation, recent advances in the closure of the SDR are described, which include a reformulation of the spray flamelet equations in terms of the gradient of mixture fraction instead of the SDR itself and the derivation of a transport equation for this new variable. The results are expected to help advancing towards the development of a self-contained spray flamelet theory.
Der Modellierungstag greift die spannende Frage nach der Bildung von „menschlichen Modellen“ auf und fördert den Austausch zwischen Forschern, Entwicklern und Anwendern. Beiträge aus unterschiedlichen Fachrichtungen liefern dazu Denkanstöße und Diskussionsgrundlagen.
! Die Veranstaltung ist öffentlich. Der Eintritt ist frei. Um Anmeldung bis zum 1. Juli 2018 wird gebeten !
For more see the abstract_file:
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For more see the abstract_file:
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Location: Bahnhofstraße 42, 69115 Heidelberg, Deutschland
Der Effekt: Eine bis zu 5-stellige Steuerrückerstattung fließt nach dem Berufseinstieg auf euer Konto.
Gleichzeitig gibt es wirtschaftliche Themen, die ihr in der Promotion/ im Master bewegen solltet, um frühzeitig und langfristig von wiederkehrenden Erstattungen zu profitieren. Dies wird ebenfalls aufgezeigt und besprochen.
Inhalt
Nach dem Training werden die Teilnehmer:
- die Vorgehensweise kennen, wie sie ihre Studienkosten rückerstattet bekommen.
- für sich wichtige Finanzthemen erkennen und einen der größten Steuerhebel nutzen können.
- wissen, wie sie einen Verlustvortrag generieren & Werbungskosten und Sonderausgaben steueroptimiert einordnen können.
Rahmendaten
- min. Teilnehmerzahl 12 / max. Teilnehmerzahl 18 / Dauer: 3h
Anmeldung https://doodle.co/poll/u7f9tmcahfvege88
Bitte beachten: Bei Anmeldung ist eine Email-Adresse mit anzugeben, damit im Nachgang eine Teilnahmebestätigung per Mail verschickt werden kann.
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Dr. Marnie Feneley will present her research, past and present, which aims to reassess the out-dated Art Historical Analytical System. She will speak about new paradigms which seek to revise traditional methodologies of art historical analysis by using empirical methodology (for example, to analyse a large data set of Asian sculpture). In particular, the use of photogrammetric modeling and high-resolution immersive visualisation systems to address the traditional perceived (visual and verbal descriptive) analysis of art history along the Mercantile Maritime Route from India to China. The objective is to gain a deeper understanding of sculptural tradition, styles, religious affiliations and cultural transmissions in Asia from the 2nd - 14th century CE.
Dr. Marnie Feneley is a lecturer in Asian Studies at the University of NSW. As a post doctoral fellow, she has been researching the transmission of Buddhism from India to Southeast Asia for the "Atlas of Maritime Buddhism,” a world touring exhibition based on the compelling story of the spread of Buddhism through the seaports of Eurasia, supported by the latest archaeological evidence.
Marnie has spent over a decade researching Southeast Asian sculpture and religion. Her doctoral thesis from the University of Sydney, “The West Mebon Vi??u: style, hydraulics and political power,” will be published later this year through National University of Singapore press. Her thesis examined the famous bronze sculpture of Vi??u found in a water shrine in the middle of the West Baray at Angkor in 1936. She has amalgamated archaeological and art historical research with digital technology by reconstructing this fractured sculpture and its temple in a digital reconstruction. She is considered a pioneer in the field digital archaeology and heritage. She regularly gives invited talks at national and international forums.
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The workshop aims at bringing together experts from pharmaceutical industry and academic research in order to determine which demand can be met by already existent mathematical methods, and to identify new challenges that require the development of new techniques for a sustainable progress in the pharmaceutical industry over the next ten to twenty years.
As in previous KoMSO Challenge Workshops, the results of this discussion will be documented in a position paper in order to promote the use of methods for mathematical modelling, simulation, and optimization in industrial practice also at the political level.
We kindly invite your contribution in oral presentations and in plenary discussions on this two-day workshop.
Confirmed speakers from industry and academia including (in alphabetical order):
- AbbVie Deutschland GmbH & Co. KG
- Bayer AG
- GoSilico GmbH
- Heidelberg Collaboratory for Industrial Optimization
- Merck KGaA
- TU Berlin, Bioprocess Engineering
- Universität der Bundeswehr München
! Registration required ! (Deadline: June 12, 2018)
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Location: Mathematikon, Conference Room (5/104), 5th Floor, Im Neuenheimer Feld 205, 69120 Heidelberg
Speech- & Vocaltraining
How do people learn? There_s the internet, there are books, of course. But most of the information we draw on, has originally been transmitted by the human voice: We learn while we listen to others. For teaching - and for many other activities - the way people talk is therefore essential for success.
One_s own voice is the most personal way of expressing oneself, too - and much more than just a "carrier of information" while lecturing, delivering a speech or in discussions. The human voice is in fact "the social medium no. 1". To bring the message across should therefore also take the speech qualities and one_s relation to the audience into account. If one_s voice is too low, raspy or breathy - or if one just talks too fast, people will not listen - even though the content is meaningful and important.
In this workshop, participants will explore their own voice qualities and speaking potentials in order to facilitate understanding - and to bring their messages across in a more convincing way. The methods and exercises - carefully chosen for the specific conditions of scientific life - include rhetorical, linguistic and communicational elements, with video-recording and professional feedback.
Please register here
Format of the Meeting:
- Speakers at EFEF are volunteers from the audience. Provided that they are present throughout the meeting, all participants are invited to talk. Potential participants are strongly encouraged to attend at least one meeting before volunteering to speak.
- Based on the number of speakers the time available will be divided into slots for the talks. The order of the speakers will be determined through random choice, by drawing names out of a hat. Speakers cannot request a specific time to talk.
- The Presentations. Bring your presentation as a pdf-file on a USB-stick. That will make life/technical support much more relaxed and easier during the conference.
- Each speaker should introduce himself or herself, the title and topic, and is expected to leave sufficient time, within the allocated time-slot, for discussion. Speakers have to prepare a talk that can be trimmed to various lengths (from seconds to 20 minutes). For a smooth meeting, the time table will be strictly enforced.
- The Book. Since EFEF 2005, a book has been available (in the Oberwolfach tradition) to record new analytical and numerical results presented during EFEF. Results can be hand-written or typeset and glued into the book.
Registration required!
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(1) There are several advantages to using fully-coupled implicit Runge-Kutta schemes compared with traditional DIRK or BDF methods. However, such methods couple all of the Runge-Kutta stages, resulting in a much larger system of equations. We transform the resulting system of equations to maximize sparsity, and then develop several ILU-based preconditioners with favorable performance properties. These solvers have the additional advantage that they allow for parallelism across the stages.
(2) Furthermore, the DG method allows for arbitrary order of accuracy, according to the degree of polynomial approximation used. High-degree polynomials result in extremely restrictive CFL conditions, motivating the use of implicit solvers. We develop efficient solvers and preconditioners that exploit the natural tensor-product structure of quadrilateral and hexahedral grids in order to obtain methods with optimal computational complexity.
In this talk we introduce some mathematical models of the cardiovascular system and comment on their significance to yield realistic and accurate numerical results. They include fluid-structure interaction (FSI) models to account for blood flow in compliant vessels, analysis of absorbing boundary conditions to deal with the numerical spurious reflections due to the truncation of the computational domain and the geometrical multiscale approach to simulate the reciprocal interactions between local and systemic hemodynamics. Results on the simulation of some image-based patient-specific clinical applications will also be presented.
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Location: Bahnhofstraße 42, 69115 Heidelberg, Deutschland
Inhalt:
- Die Teilnehmer durchlaufen reale Übungen wie Selbstpräsentation, Rollenspiel, Vorstellungsgespräch, Stressinterview.
- Sie lernen sicherer und souveräner aufzutreten.
- Die Teilnehmer erfahren Techniken, einen Vortrag packender zu gestalten.
- Durch Übungen wird die Schlagfertigkeit im Gespräch und vor der Gruppe erhöht.
Nach dem Seminar werden die Teilnehmer:
- Souverän und sicher vor der Gruppe präsentieren.
- Körpersprache und Gesagtes besser verbinden können.
- Mit ihren neuen Kompetenzen aus der Masse hervorstechen.
- Ein präziseres Sprachbild haben.
- Sich auf das nächste Assessmentcenter oder Vorstellungsgespräch freuen!
Anmeldung
https://doodle.com/poll/u7f9tmcahfvege88
Der Eintritt ist frei.
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Location: Bahnhofstraße 42, 69115 Heidelberg, Deutschland
Der Effekt: Eine bis zu 5-stellige Steuerrückerstattung fließt nach dem Berufseinstieg auf euer Konto.
Gleichzeitig gibt es wirtschaftliche Themen, die ihr in der Promotion/ im Master bewegen solltet, um frühzeitig und langfristig von wiederkehrenden Erstattungen zu profitieren. Dies wird ebenfalls aufgezeigt und besprochen.
Inhalt
Nach dem Training werden die Teilnehmer:
- die Vorgehensweise kennen, wie sie ihre Studienkosten rückerstattet bekommen.
- für sich wichtige Finanzthemen erkennen und einen der größten Steuerhebel nutzen können.
- wissen, wie sie einen Verlustvortrag generieren & Werbungskosten und Sonderausgaben steueroptimiert einordnen können.
Rahmendaten
- min. Teilnehmerzahl 12 / max. Teilnehmerzahl 18 / Dauer: 3h
Anmeldung https://doodle.co/poll/u7f9tmcahfvege88
Bitte beachten: Bei Anmeldung ist eine Email-Adresse mit anzugeben, damit im Nachgang eine Teilnahmebestätigung per Mail verschickt werden kann.
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The aim of this conference is to promote communication and networking between mathematicians from all research areas, offering in particular a platform to female mathematicians at all academic stages for presenting their mathematical results, sharing their experiences and discussing the challenges related to the gender gap in this field.
The scientific programme will consists of one-hour talks by four keynote speakers, shorter contributed talks to be presented in parallel thematic sessions, and a poster session with one-minute presentations for each poster. The programme will include an invited talk on gender balance in academia encouraging active discussion among the participants about this issue for mathematicians in Germany.
Location: Bahnhofstraße 42, 69115 Heidelberg, Deutschland
Marktwert zu kennen – gerade zum Berufseinstieg. Es erfordert einiges an Übung,
Werbung in eigener Sache zu betreiben, sich optimal auf das Gehaltsgespräch
vorzubereiten und dieses selbstbewusst durchzuführen. Im Seminar werden u.a. die
Do’s und Don’ts der Gehaltsverhandlung beleuchtet.
Als Exkurs erhalten die Teilnehmer die Möglichkeit ihre Schlagfertigkeit zu
verbessern und die Chance, erfolgreiche Strategien für die Gehaltsverhandlung
praktisch zu erproben. Anhand der Übungen ist der Bewerber bestens gerüstet für
jede Gehaltsverhandlung.
Inhalt:
- Expertentipps zur Vorbereitung und Durchführung eines erfolgreichen Gehaltsgesprächs
- Schlagfertigkeitstraining
- Viele praktische Übungen (z.B. Gehaltsgespräch als Rollenspiel)
- Welche Einflussmöglichkeiten habe ich wenn mein Einstiegsgehalt NICHT meinen Vorstellungen entspricht (Technik: Zeitversetztes Verhandeln)
Rahmendaten
- min. Teilnehmerzahl 12 / max. Teilnehmerzahl 18 / Dauer: 3h
Anmeldung:
https://doodle.com/poll/u7f9tmcahfvege88
Bitte beachten: Bei Anmeldung ist eine Email-Adresse mit anzugeben, damit im Nachgang eine Teilnahmebestätigung per Mail verschickt werden kann.
Location: tba
deal.II is a free, open source library to solve partial differential equations using the finite element method. The aim of this course is to provide an introduction into this framework. After this course, students should be able to implement suitably easy problems in deal.II.
The course will take place in the PC-Pool SW 1 with a preinstalled deal.II version. Since you will need your own installation for your final project, it is recommended to install deal.II on your own notebook. For using amandus, you will need to use a developer version. Instructions for installing can be found here. Files used in the course can be found here.
Target group
Students of mathematics (BSc, MSc, PhD) as well as students of scientific computing (MSc, PhD).
Prior Knowledge
Basic knowledge of FEM and C++ is required.
Participation
The number of participants is limited to 25 students. Please register via MÜSLI (or e-mail containing subject of study, semester and academic degree). Preferrably, also state subjects of interest for the course and a problem you want to solve using deal.II in separate e-mail.
For the successful completion of the final project (project summary, short presentation) 6 CP are awarded.
Topics
We will loosely follow the following outline
Short introduction to FEM and deal.II
Creating and refining meshes. Setting up finite element spaces.
A first Poisson solver
A multilevel Poisson solver with discontinuous Galerkin methods
Meshworker
Mixed finite elements
Time-dependent problems
Eigenvalue problems
Exploring error estimation and adaptive refinement
Parallelization (MPI)
Project Summary
The project summary has to be written using
doxygen or LaTeX.
Code has to be suitably commented.
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Location: Bahnhofstraße 42, 69115 Heidelberg, Deutschland
Inhalt:
- Die Teilnehmer durchlaufen reale Übungen wie Selbstpräsentation, Rollenspiel, Vorstellungsgespräch, Stressinterview.
- Sie lernen sicherer und souveräner aufzutreten.
- Die Teilnehmer erfahren Techniken, einen Vortrag packender zu gestalten.
- Durch Übungen wird die Schlagfertigkeit im Gespräch und vor der Gruppe erhöht.
Nach dem Seminar werden die Teilnehmer:
- Souverän und sicher vor der Gruppe präsentieren.
- Körpersprache und Gesagtes besser verbinden können.
- Mit ihren neuen Kompetenzen aus der Masse hervorstechen.
- Ein präziseres Sprachbild haben.
- Sich auf das nächste Assessmentcenter oder Vorstellungsgespräch freuen!
Anmeldung
https://doodle.com/poll/u7f9tmcahfvege88
Location: Conference Room, Mathematikon, INF 205
The short course will introduce students to theoretical concepts and computational methods for modeling biochemical reaction rates. The rate problems of unimolecular and bimolecular reactions will be formulated mathematically, and then solved analytically for simple models. Finally computational algorithms for solving these problems for realistic models of biochemical systems will be presented. Students are expected to carry out analytical derivations to fill gaps left out of the lectures and write pseudocodes to implement the algorithms presented.
Content
1. Rate description
2. Concepts of unimolecular reactions
3. Rate theories for unimolecular reactions
4. Simulations for unimolecular reaction rates
5. Concepts of bimolecular reactions
6. Rate theories for bimolecular reactions
7. Brownian dynamics simulations for bimolecular reactions
8.Coupled Brownian and molecular dynamics simulations
Language
English
Prerequisite
Students should have taken calculus and be familiar with computer coding.
Please register here
Location: Bahnhofstraße 42, 69115 Heidelberg, Deutschland
und dieses selbstbewusst durchzufu?hren. Der erste Eindruck ist von entscheidender
Bedeutung und sollte das erste Ausrufezeichen setzen. Lernen Sie daru?ber hinaus die
eigenen Stärken und Schwächen allgemein und bei Verhandlungen im Speziellen kennen.
Ziel ist es, den TeilnehmerInnen aufzuzeigen, wie man authentisch und u?berzeugend auftritt, welche Gehaltsbestandteile es gibt und was man eigentlich verhandeln kann.
Inhalt
- Ermittlung des eigenen Marktwerts
- Tipps fu?r ein erfolgreiches Verhandlungsgespräch
- Rollenspiele zum Üben anhand realer Fallbeispiele
- Stärken und Schwächen im Bewerbungs- und Verhandlungskontext
Nach dem Seminar werden die TeilnehmerInnen
- Wissen, was ihr Marktwert ist
- Besser verhandeln in allen Lebenslagen
- Tools zur Identifikation der eigenen Stärken und auch zur Evaluierung des Einstiegsgehalts zur Verfu?gung gestellt bekommen
Anmeldung
https://doodle.com/poll/u7f9tmcahfvege88
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Location: Bahnhofstraße 42, 69115 Heidelberg, Deutschland
Der Effekt: Eine bis zu 5-stellige Steuerru?ckerstattung fließt nach dem Berufseinstieg auf euer Konto.
Gleichzeitig gibt es wirtschaftliche Themen, die ihr in der Promotion bewegen solltet, um fru?hzeitig und langfristig von wiederkehrenden Erstattungen zu profitieren. Dies wird ebenfalls aufgezeigt und besprochen.
Inhalt
Nach dem Training werden die Teilnehmer:
- die Vorgehensweise kennen, wie sie ihre Studienkosten ru?ckerstattet bekommen.
- fu?r sich wichtige Finanzthemen erkennen und einen der größten Steuerhebel nutzen können.
- wissen, wie sie einen Verlustvortrag generieren & Werbungskosten und Sonderausgaben steueroptimiert einordnen können.
Anmeldung:
https://doodle.com/poll/u7f9tmcahfvege88
Die geografische Komponente ist vor allem in der modellgestützten Optimierung eine entscheidende Größe. Ein Beispiel mag dies verdeutlichen: Während die Fahrroutenoptimierung in nicht-geobasierten Modellen auf abstrakte Grundgrößen wie durchschnittliche Fahrtzeit von Ort zu Ort zurückgreifen muss, können in Modellen mit detaillierten geografischen Daten exakte Vorhersagen für die Fahrtdauer beim Einsatz unterschiedlicher Fahrzeuge der zur Verfügung stehenden Flotte errechnet und in die Planoptimierung eingespeist werden. Die Kopplung mit aktuellen Verkehrsdaten erlaubt sogar eine tagesabhängige Nachoptimierung und so eine noch bessere Anpassung der Fahrpläne an die realen Gegebenheiten.
Diese Verbesserungen können auch in vielen anderen Bereichen erreicht werden:
- Modellierung der Ausbreitung von Infektionserkrankungen in Abhängigkeit von regionalem Klima und Wetter
- Hochwasservorhersage auf Basis detaillierter Geländekarten
- Planung von Funknetzwerken unter Berücksichtigung von Bebauungsplänen
Der Zusammenhang zu geografischen Daten ist so offensichtlich, dass die Anbindung geografischer Informationssysteme oft selbstverständlich erscheint. Auf dem Modellierungstag wollen wir uns mit dieser Facette der Modellbildung beschäftigen und auf Schwierigkeiten bei der Modellerstellung, Risiken in der Datengenerierung und Chancen im wirtschaftlichen Einsatz eingehen. Experten aus Wissenschaft, Forschung und Praxis geben dazu Einblicke in aktuelle Projekte und neue Entwicklungen.
Die Veranstaltung ist öffentlich. Der Eintritt ist frei. Um Anmeldung bis zum 28. Januar 2018 wird gebeten.
Location: Mathematikon, Seminar Room 12 / 5th Floor, Im Neuenheimer Feld 205, 69120 Heidelberg
• the theory of sandwich shells and plates,
• the Kato problem concerning the analyticity of the square root of an analytic function of dissipative operators,
• nonlocal boundary value problems arising in plasma theory,
• the theory of multidimensional diffusion processes,
• nonlinear optics, …
This theory is based on the properties of difference operators acting in Sobolev spaces. Most important property of a regular difference operator:
It maps the Sobolev space of the first order with the homogeneous Dirichlet boundary condition onto the subspace of the Sobolev space of the first order with nonlocal boundary conditions continuously and bijectively. This result allows to reduce boundary value problems for strongly elliptic differential-difference equations to elliptic equations with nonlocal boundary conditions. Conversely, in some cases nonlocal elliptic boundary value problems can be reduced to elliptic differential-difference equations.
For more see the abstract_file:
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> Die Teilnahme ist kostenfrei - Anmeldung erforderlich <
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1. characterization of the arising complex networks and construction of a coding system, including the essential information required in real applications;
2. requirements for the data, methods for data collection and processing;
3. algorithms to solve the geometric inverse problem to determine from CT-data the geometry and the developed code of the underlying network;
4. presentation and discussion of results obtained in recent research at IWR for the blood vessel system for the human heart, based on real CT-data;
5. open problems, requirements from the applications.
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For the problems of a membrane and plate subject to solid obstacles, we present numerical results.
Joint work with Tom Gustafsson (Aalto) and Juha Videman (Lisbon).
[1] T. Gustafsson, R. Stenberg, J. Videman. Mixed and stabilized finite element methods for the obstacle problem. SIAM Journal of Numerical Analysis 55 (2017) 2718–2744
[2] T. Gustafsson, R. Stenberg, J. Videman. Stabilized methods for the plate obstacle problem. https://arxiv.org/abs/1707.08396
[3] E. Burman, P. Hansbo, M.G. Larson, R. Stenberg. Galerkin least squares finite element method for the obstacle problem. Computer Methods in Applied Mechanics and Engineering 313 (2017) 362–374
For more see the abstract_file:
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Wo gibt es Mathematik zu entdecken? Wie kann der aktive und neugierige mathematische Blick von Lernenden gestärkt und erweitert werden? Dialogisches und forschendes Lernen sind zwei Ansätze für den Mathematikunterricht, die den individuellen Fragen, Ansätzen und Erarbeitungswegen der Lernenden Raum geben. Gleichzeitig gelingt es, ausgehend von alltäglichen, ja oft sogar eher banal erscheinenden Fragestellungen tiefergehend mathematisch zu arbeiten. Sehr häufig kommt man dabei sogar auf aktuelle mathematische Forschungsfragen. Nicht einfach ist die Frage, wie forschendes Lernen im Fach Mathematik überhaupt authentisch gestaltet werden kann. Es wird über aktuelle Forschung sowie über Erfahrungen aus der Lehramtsausbildung und der wissenschaftlichen Begleitung des Programms „Mathe.Forscher“ der Stiftung Rechnen berichtet. Der Vortrag bietet konkrete Unterrichtsideen und Anregungen für den Unterricht in den Sekundarstufen.
For more see the abstract_file:
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Location: Mathematikon, Seminar Room 12, 5. floor, Im Neuenheimer Feld 205, 69120 Heidelberg
In this course we will present principles of simulation methods applicable in drug design and practical aspects of structure-based drug design strategies. We will focus on such techniques as ligand docking, molecular dynamics and binding free energy estimation methods.
Please find more details about the course in the abstract attached.
The places are limited by the size of the room (14 participants)
Please register here
For more see the abstract_file:
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Biography:
Professor Felix Chernousko is a specialist in optimal control, mechanics and robotics. He graduated from Moscow Institute of Physics and Technology and has been working at the Institute for Problems of Mechanics of the Russian Academy of Sciences in Moscow for many years. He had been the director of this institute from 2004 until 2015. Professor Chernousko has published more than 500 papers and 14 books on mechanics of spacecraft, optimal control and robotics. His last book was published by Springer in 2017. Chernousko is a Full Member of the Russian Academy of Sciences, the European Academy of Sciences, the International Academy of Astronautics, Fellow of the European Mechanics Society, Honorary Professor of the Moscow Institute of Physics and Technology and others. He is laureate of the Russian State Prize for Science (twice), the Körber European Science Prize, the Alexander von Humboldt Research Award, the Chaplygin Gold Medal of the Russian Academy of Sciences, the Euler Gold Medal and others. His recent publications are devoted to mobile robots.
For more see the abstract_file:
Location: Mathematikon, Seminar Room 12, 5. floor, Im Neuenheimer Feld 205, 69120 Heidelberg
My name is Jonathan Griffiths (Jonnie). I have extensive experience in both freelance academic English-language proofreading and in tutoring of various kinds (workshops, classes, one-on-one tuition). I am simultaneously writing a PhD in Ancient Philosophy at UCL, UK.
Suggested Content and Breakdown of Workshop:
I am altogether flexible and happy to tailor an academic English-language workshop to the specific needs and requests of those in attendance. However, from my experience of the workshop environment in the past, I have often found it helpful to isolate certain core features of successful & stylish English writing technique. The below headings are only a handful of examples:
- Argumentation: use of connectives of different kinds (e.g. to contrast or rebut an argument previously made, to advance a complementary argument, to cross-reference and connect parts of your argument and written work together)
- Introductions & Conclusions
- Scholarly etiquette: acknowledging previous opinion, arguing against it in a professional manner; or creating an academic space for your own original contribution (e.g. to a scholarly field)
- Footing: shorthand and cross-reference (including correct use of Latin and/or abbreviated terms: see, cf. pp., ff., etc.)
- Writing Abstracts (or other materials that preface your main paper): tips & tricks to synthesise your argument into a digestible package (e.g. of 250 words or shorter).
Bitte hier anmelden
Max. Teilnehmerzahl 15 Personen
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Location: Mathematikon, Conference Room (5/104), 5th Floor, Im Neuenheimer Feld 205, 69120 Heidelberg
For more see the abstract_file:
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This talk is part of the HGS MathComp Ladyzhenskaya Lecture Series.
For more see the abstract_file:
This talk is organized by “Mathematics of Life” - a special interest group of doctoral students of the HGS MathComp.
Location: Mathematikon, INF 205, 5th floor, SR 11
This seminar demonstrates how to approach the doctoral thesis in a professional way. Project management tools and techniques are used, tailored to the specific situation of PhD students. You will learn how to set a project vision, define clear objectives, gain buy-in from your supervisor and other colleagues in your group, and how to develop a project plan, which is structured and at the same time flexible enough to easily adjust to unexpected findings. You will establish a "controlling cycle" which helps you to recognise risks and problems as early as possible, and you will learn how to manage critical situations and deal with ups and downs. Furthermore, networking with colleagues, supervisors and other people are important topics of this seminar.
Throughout the seminar, you will work on your own doctoral thesis and share your experience with others. This seminar is most beneficial for PhD students who are in the early phases of their doctoral thesis. At the end of the seminar you will have established a strategy on how to approach your own doctoral thesis. During the follow-up REVIEW we will share experience and best practices and deal with open questions from the first module.
This seminar will help you to make the most effective use of your three years and finish your doctoral thesis on time.
You will also learn and practise the basic concepts of project management – a prerequisite in industries and research institutions.
Please register here:
http://hgs.iwr.uni-heidelberg.de/Portfolio_HGS/VERANSTALTUNGEN/reg_form/reg_form.php?id=187
Location: INF 205 SR 11
14:15
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Location: Mathematikon, Im Neuenheimer Feld 205
Location: Mathematikon, Im Neuenheimer Feld 205, SR 10 (5.floor)
In the workshop you will learn about basic design aspects of research posters and receive feedback on your own draft. The course content will be as following:
- Part 1: „Design“– reducing complex content; layout principles; use of visual elements; technical tips; working on a first draft
- In-between: creating your own poster
- Part 2: short presentations; feedback on drafts/posters
You may bring along posters in English or German. Please note that software related questions (e.g. MS Powerpoint, InDesign, …) are not addressed in the course.
Please register
http://hgs.iwr.uni-heidelberg.de/Portfolio_HGS/VERANSTALTUNGEN/reg_form/reg_form.php?id=191
16:00
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Location: Mathematikon, Im Neuenheimer Feld 205, SR 12
die euch vom Beginn des Masters bis zum Ende der Promotion begleiten, könnt ihr das Finanzamt beteiligen – sogar rückwirkend für die letzten Jahre. Der Effekt: Eine bis zu 5-stellige Steuerrückerstattung fließt nach dem Berufseinstieg auf euer Konto.Gleichzeitig gibt es wirtschaftliche Themen, die ihr in der Promotion bewegen solltet, um
frühzeitig und langfristig von wiederkehrenden Erstattungen zu profitieren. Dies wird ebenfalls aufgezeigt und besprochen.
Inhalt
Nach dem Training werden die Teilnehmer:
- die Vorgehensweise kennen, wie sie ihre Studienkosten rückerstattet bekommen.
- für sich wichtige Finanzthemen erkennen und einen der größten Steuerhebel nutzen können.
-wissen, wie sie einen Verlustvortrag generieren & Werbungskosten und Sonderausgaben steueroptimiert einordnen können.
Bitte hier anmelden
9:00
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Structure from motion: This method uses a series of images to create 3D models. Can be used for small finds to whole buildings (with drones)
Drones: With drones, Structure from motion can acquire whole buildings or even landscapes. Several methods, from fixed wing (small airplanes) to multirotor drones will be shown.
Laser scanning: This device can create high precision point clouds in very short time and is very useful for all kind of documentation tasks.
Structured light scanner: This device is especially suited for small finds and objects. It projects actively light on the object to detect surfaces. The precision and quality is very high.
David scanner: A low-budget version of the Structured Light Scanner using laser beams. The results are very good.
Ground Penetrating Radar: Makes structures in the earth visible without excavating. One of the so called “non invasive methods”
Analysis of airborne LiDAR: Covering large areas, airborne LiDAR can help to detect a lot of archaeological remains, even in forested areas.
Geographic Information Systems: With the help of Geographic information systems, the analysis of historic movements, distribution systems and many more became possible.
Location: Seminarzentrum D2, Bergheimer Straße 58a, SR 2, 69115 Heidelberg
This two-day course covers the basics of professional University teaching. You will improve your methodological knowledge about the teaching–learning interaction and how that setting can be influenced effectively. The aim is to reach a level of learner-centered teaching that leads to a deep-level learning approach on the side of the students. Hence, interaction with and motivation of the students is in the focus of this course.
- Basic principles of teaching and learning
- Understanding your role as a teacher
- Didactical planning of a course or lesson
- Defining learning objectives – designing learning activities
- Co-operative learning
The course work comprises of short inputs, discussion, group work and individual reflection of personal experiences. Participants are asked to be actively involved in the course by working on their own teaching tasks.
Please register: here
After great progress in electron microscopy, several labs worldwide are milling away at animal brains and generating what will amount to petabytes of high-quality data. The resulting images are good enough for human tracers to consistently follow at least the majority of neural processes; unfortunately, humans would take thousands of years to complete the task for even the smallest mammalian brain.
So the quest is on for computer vision algorithms to do the same automatically and reliably. The current state of the art pipelines recur to deep neural networks and combinatorial graph partitioning problems. The former are notoriously ill understood, the latter still expensive to solve at scale.
In this talk, I will sketch the problem, a state of the art approach (which does not quite achieve human accuracy yet), and I will lay out some of the open problems in the field.
Interdisciplinary Seminar Series "Structures & Mathematics":
The workshop-seminars aim at initiating interactions between mathematicians and researchers from other sciences. We want to explore in particular questions and problems, which might be of interest to and benefit from the involvement of mathematicians of all sort. The setting of the seminar is informal, and interactive.
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Location: Mathematikon, Conference Room 5.104, Im Neuenheimer Feld 205, 69120 Heidelberg
I will discuss the asymptotic structure at spatial infinity of a steady flow around the body. In the 3D irrotational case, this classical problem has been almost fully resolved over the years, but many questions are still open in the 2D case. Indeed. the asymptotic structure of a 2D Stokes flow is closely related to the Stokes Paradox. In my talk, I will focus on bodies that are rotating with a constant angular velocity and discuss some new results for rotating planar flows.
Am 8. Juli laden die Fakultät für Mathematik & Informatik und das Interdisziplinäre Zentrum für Wissenschaftliches Rechnen (IWR) gemeinsam zum Tag der Offenen Tür im Mathematikon der Universität Heidelberg ein. Von Mathematik zum Anfassen über Forschung zu Künstlicher Intelligenz bis zum Robotiklehrlabor - Wissenschaftler geben spannende Einblicke in die Forschung und Praxis rund um Mathematik, Informatik und Scientific Computing. Führungen durch das neueste Gebäude der Universität Heidelberg ergänzen das abwechslungsreiche Programm.
Eine Auswahl an Speisen und Getränken wird durch die Fachschaft MathPhys angeboten.
Der Eintritt ist frei.
Weitere Informationen zum Programm werden in Kürze verfügbar sein.
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In this talk I will give a basic introduction to multilevel Monte Carlo methods applied to uncertainty quantification problems in PDE applications. I will aim the talk at numerical analysts and computational scientists, familiar with numerical methods for partial differential equations. I will only assume basic knowledge of probability theory. A particular focus will be the study of the inverse problem, where PDE models with random coefficients that encapsulate the prior knowledge about the coefficient distribution are coupled with measurement data of functionals of the PDE solution. The talk will focus mainly on methodology, but I will refer to some theoretical results that underpin the new methods, as well as stress some open theoretical and computational problems.
Location: INF 205, SR 12
discovery process. Virtual screening is used to search a large
library of small molecules for binding to a target protein and
select a small subset of compounds for subsequent experimental
validation and optimization. In this block course we will
discuss the methodological basis and practical applications of
structure-based and ligand-based virtual screening methods such as
docking, shape-based, pharmacophore and fingerprint concepts.
The course alternates lectures and practical sections in the
computer lab
Please register here
For more see the abstract_file:
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Location: Wednesday June 21st: 9am - 6pm, Mathematikon, SR 12 Thursday June 22nd: 10am - 6pm, BioQuant, SR 043
This course will consist of lectures as well as practical exercises. Therefore, participants are encouraged to bring laptops (please contact me in case laptop sharing is desired). There is no prior software or programming experience necessary.
Please register here
Much less is known about the preconditioning of non-linear systems of equations. The standard iterative solver in that case is Newton_s method (1671) or a variant thereof, but what would it mean to precondition the non-linear problem? An important contribution in this field is ASPIN (Additive Schwarz Preconditioned Inexact Newton) by Cai and Keyes (2002), where the authors use their intuition about domain decomposition methods to propose a transformation of the non-linear equations before solving them by an inexact Newton method. Using the relation between stationary iterative methods and preconditioning for linear systems, we show in this presentation how one can systematically obtain a non-linear preconditioner from classical fixed point iterations, and present as an example a new two level non-linear preconditioner called RASPEN (Restricted Additive Schwarz Preconditioned Exact Newton) with substantially improved convergence properties compared to ASPIN.
For more see the abstract_file:
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Followed by: “Meet the speaker” in the common room (with drinks and canapes)
In this talk I will give a brief introduction on deep neural networks and will question one of their most fundamental design aspects. As networks have become much deeper than had been possible or had even been imagined in the 1950s, it is no longer clear that the layer by layer connectivity pattern is a well-suited architectural choice. In the first part of the talk I will show that randomly removing layers during training can speed up the training process, make it more robust, and ultimately lead to better generalization. We refer to this process as learning with stochastic depth -- as the effective depth of the networks varies for each minibatch. In the second part of the talk I will propose an alternative connectivity pattern, Dense Connectivity, which is inspired by the insights obtained from stochastic depth. Dense connectivity leads to substantial reductions in parameter sizes, faster convergence, and further improvement in generalization. Finally, I
will show examples of problems that were considered challenging but have become surprisingly easy in the light of deep learning.
Biography:
Kilian Weinberger is an Associate Professor in the Department of Computer Science at Cornell University. He received his Ph.D. from the University of Pennsylvania in Machine Learning under the supervision of Lawrence Saul and his undergraduate degree in Mathematics and Computer Science from the University of Oxford. During his career he has won several best paper awards at ICML, CVPR, AISTATS and KDD (runner-up award). In 2011 he was awarded the Outstanding AAAI Senior Program Chair Award and in 2012 he received an NSF CAREER award. He was elected co-Program Chair for ICML 2016 and for AAAI 2018. Kilian Weinberger_s research focuses on Machine Learning and its applications. In particular, he focuses on learning under resource constraints, metric learning, machine learned web-search ranking, computer vision and deep learning. Before joining Cornell University, he was an Associate Professor at Washington University in St. Louis and before that he worked as a research scientist at Yahoo! Research in Santa Clara.
For more see the abstract_file:
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Biography:
Dr. Jean Ragusa specializes in computational methods for radiation (neutron, photon, coupled electron-photon) transport, radiative transfer, and multiphysics applications (e.g., radiation-hydrodynamics and two-phase flow modeling using a seven-equation model). Dr. Ragusa obtained his PhD from the University of Grenoble in 2001 and was a visiting assistant professor in the scholar of nuclear engineering at Purdue in 2001. From 2002 until 2004, he was a research engineer at the CEA-Saclay, France, in the reactor physics and applied mathematics division. In September 2004, he joined Texas A&M University where he is a professor of Nuclear Engineering and, since 2009, the associate director of the Institute for Scientific Computation.
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In the second half, I will focus specifically on Digital Cultural Heritage (DCH). Recent DH cluster hires in Anthropology, Classics & Religious Studies, History, and Art & Art History at UNL are facilitating innovative research in DCH. In particular, CDRH scholars are applying and developing Geographic Information Systems (GIS), 3D Modeling, and Virtual Reality (VR) methods and tools to foster new avenues of scholarly research. Underlying much of this research is the need to unite quantitative and qualitative data—requiring new computational methods and 3DGIS tools. I will present some of my experiences, outcomes, and ongoing challenges for three DCH projects — MayaArch3D (2009-2015), MayaCityBuilder (2016-present), and Keeping Data Alive (2017-present) - situating them within the larger framework of Digital Humanities.
Biography:
Heather Richards-Rissetto is an archaeologist specializing in the ancient Maya of Central America. She is Assistant Professor in Anthropology, a Faculty Fellow in the Center for Digital Research in the Humanities (CDHR), and holds a Courtesy Appointment in the School of Natural Resources (SNR) at the University of Nebraska-Lincoln. She received her Ph.D. in Anthropology from the University of New Mexico and her undergraduate degree in Anthropology and Geography from the University of Southern Maine. She uses Geographic Information Systems (GIS) and 3D visualization to investigate how the accessibility and visibility of architecture communicated information and structured social experience and sent political and ideological messages in past societies. She is the Director of the MayaCityBuilder Project that uses procedural modeling for 3D Visualization, Analysis, and Discourse on Ancient Maya cityscapes. The MayaCityBuilder Project builds on the data and results of the MayaArch3D Project (2009-2015) — of which she was the GIS Director. She is also the CoPI on the Project “Keeping data alive: Supporting reuse and repurposing of 3D data in the humanities” — supported by a National Endowment for the Humanities (NEH) Tier I Research and Development Grant, Division of Preservation and Access. Her interests include using gesture-based and immersive technologies such as Microsoft Kinect, Leap Motion, and Oculus Rift to explore new avenues of digital scholarship.
For more see the abstract_file:
For more see the abstract_file:
Topics that are discussed in detail include best practices in Scientific Computing, class concepts, dynamic memory allocation, exception
handling, safe handling of resources, template programming, static vs. dynamic polymorphism, traits and policies, the Standard Template Library, and template metaprogramming.
Location: Im Neuenheimer Feld 205, SR 11
Als Weiterführung der Veranstaltung im Oktober 2016 wird im aktuellen Vortrag insbesondere das kognitive Stressmanagement im Vordergrund stehen.
Einführend soll ein Modell des Nobelpreisträgers Daniel Kahnemann Aufschluss geben, von welchen inneren Faktoren unser Denken und unsere Bewertungsstrategien abhängig sind und in welcher Weise unsere Emotionen unser Denken beeinflussen. Ein Abriss über kognitive Verzerrungen wird veranschaulichen, wie unsere Bewertungen und Schlussfolgerungen im Alltag beeinflusst bzw. verzerrt werden. Als Impuls für einen besseren Umgang mit unserem Denken werden unterschiedliche kognitive Strategien anhand praktischer Beispiele vorgestellt und diskutiert.
Abschließend werden wir der Frage nachgehen, warum Menschen manchmal völlig fern jeder Vernunft handeln, obwohl sie es „eigentlich-besser-wissen- müssten“.
Es werden keine Vorkenntnisse vorausgesetzt.
Bitte hier anmelden
9:00
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Discussion with the speaker after the talk (at around 12:00), coffee will be provided.
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Location: Mathematikon, Im Neuenheimer Feld 205, SR 12
vor allem im persönlichen Gespräch / Auswahlverfahren einen bleibenden
– positiven - Eindruck zu hinterlassen.
Bewerben ist wie flirten: Wer zu langweilig und 08/15 ist oder den falschen Ton trifft, wird abgewiesen. Daher gilt es in den richtigen Momenten zu punkten und sympathisch die Herausforderungen zu meistern. Gerade unter Druck gilt es souverän zu bleiben und Akzente zu setzen.
Das bedeutet beim Bewerben wie beim Flirten:
mehr Auswahl und einen höheren Ertrag.
Inhalt:
- Die typischen Stressfragen und die typischen Fehler des Bewerbers.
- Das Vorstellungsgespräch aus beiden Perspektiven beleuchtet.
- Worauf achtet ein Personaler?
- Wie viel Gehalt kann ich verlangen?
Nach dem Seminar werden die Teilnehmer:
- Im Vorstellungsgespräch punkten
- Aus der Masse hervorstechen.
- Im Stressinterview unter Druck cool bleiben.
- Gekonnt die Gehaltsfrage klären.
- Besser flirten
Bitte hier anmelden
Location: Mathematikon A, SR 10
Fourier transform
Random variables and fields, probability density functions, error propagation
Homogeneous and inhomogeneous point operations
Neighborhood operations, linear and nonlinear filters, linear system theory
Geometric transformations and interpolation
Multi-grid signal presentation and processing
Averaging, edge and line detection, local structure analysis, local phase and wave numbers
Motion analysis in image sequences
Segmentation
Regression, globally optimal signal analysis, variation approaches, steerable and nonlinear filtering, inverse filtering
Morphology and shape analysis, moments, Fourier descriptors
Bayesian image restoration
Object detection and recognition
_____________________________
Learn how to analyze signals from time series, images, and any kind of multidimensional signals and to apply it to problems in natural sciences, life sciences and technology.
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(MWInf6)
Bitcoin´s blockchain emerges as an innovative tool which proves to be useful in a number of application scenarios. This talk will overview the security provisions of Bitcoin and its underlying blockchain-effectively capturing recently reported attacks and threats in the system. The talk will also discuss the limits of decentralization in Bitcoin´s blockchain and will outline a number of (open) challenges that should be overcome prior to large scale industrial deployment of open blockchains.
Dr. Karame is the manager and chief researcher of the security group at NEC Laboratories Europe.
He received his master of science in information networking from Carnegie Mellon University (CMU) in December 2006, and his Ph.D. degree in computer science from ETH Zurich, Switzerland, in 2011. Between 2011 and 2012, he worked as a postdoctoral researcher at the Institute of Information Security of ETH Zurich. Dr. Karame is interested in all aspects of security and privacy with a focus on cloud and blochchain security. Dr. Karame has recently co-authored a book on Bitcoin and Blockchain Security and has served on the program committees of a number of prestigious computer security conferences. More information about Dr. Karame can be found at ghassankarame.com.
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Biography:
Meinard Müller studied mathematics (Diplom) and computer science (Ph.D.) at the University of Bonn, Germany. In 2002/2003, he conducted postdoctoral research in combinatorics at the Mathematical Department of Keio University, Japan. In 2007, he finished his Habilitation at Bonn University in the field of multimedia retrieval. From 2007 to 2012, he was a member of the Saarland University and the Max-Planck Institut für Informatik leading the research group "Multimedia Information Retrieval and Music Processing" within the Cluster of Excellence on "Multimodal Computing and Interaction". Since September 2012, Meinard Müller holds a professorship for Semantic Audio Processing at the International Audio Laboratories Erlangen, which is a joint institution of the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and the Fraunhofer-Institut für Integrierte Schaltungen IIS. His recent research interests include music processing, music information retrieval, audio signal processing, and motion processing. Meinard Müller has been a member of the IEEE Audio and Acoustic Signal Processing Technical Committee from 2010 to 2015 and is a member of the Board of Directors of the International Society for Music Information Retrieval (ISMIR) since 2009. He has co-authored more than 100 peer-reviewed scientific papers, wrote a monograph titled "Information Retrieval for Music and Motion" (Springer, 2007) as well as a textbook titled "Fundamentals of Music Processing" (Springer, 2015, www.music-processing.de).
For more see the abstract_file:
16:15
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For more see the abstract_file:
Location: Mathematikon, INF 205, conference room 5.104
In preconditioned Krylov-subspace solvers and multigrid smoothers it is often necessary to invert block-diagonal matrices. Even though the action of A is implemented in a matrix-free way, local block-matrices D_e of size n^d x n^d are assembled in each cell and then inverted with an exact LU- or Cholesky-factorisation. Overall this requires O(n^{2d}) bandwidth-bound operations and quickly becomes the bottleneck of the solver as the order n increases. To circumvent this problem, we solve the system D_e.x=y approximately with an iterative method. Since the application of D_e can be implemented in a matrix-free way, the action of D_e^{-1} becomes FLOP bound and the cost decreases from O(n^{2d}) to O(n_{iter} * d * n^{d+1}) where n_{iter} is the number of iterations required to solve the system in each cell.
We study the efficiency of this approach for the solution of linear convection-diffusion systems; problems of this type arise, for example, in operator splitting approaches for unstable porous media flow. We demonstrate the algorithmic and computational efficiency of the method for a hybrid multigrid algorithm with hp-coarsening, similar to [Bastian et al. (2012), Num. Lin. Alg. with Appl. 19 (2), pp. 367-388]: on the finest level a matrix-free block-Jacobi or block-SSOR smoother is applied to the high-order system, and the low-order system on the coarser levels is solved with AMG.
All code is implemented in the EXADUNE code base and we demonstrate the efficiency of our approach for a range of elliptic PDEs, including a convection-dominated problem and the stationary SPE10 benchmark.
Authors: Eike Müller (University of Bath), Peter Bastian, Steffen Müthing, Marian Piatkowski (Heidelberg University)
Biography:
Dana Kuli? received the combined B.A.Sc. and M.Eng. degrees in electromechanical engineering, and the Ph.D. degree in mechanical engineering from the University of British Columbia, Canada, in 1998 and 2005, respectively. From 2006 to 2009, she was a JSPS Postdoctoral Fellow and a Project Assistant Professor at the Nakamura Laboratory at the University of Tokyo. She is currently an Associate Professor at the Electrical and Computer Engineering Department at the University of Waterloo, Canada. She is a founding co-chair of the IEEE RAS Technical Committee on Human Movement Understanding and an Associate Editor with the IEEE Transactions on Robotics. In 2014, she was awarded Ontario’s Early Researcher award for her work on rehabilitation and human-robot interaction. Her research interests include human motion analysis, robot learning, humanoid robots, and human-machine interaction.
For more see the abstract_file:
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Location: Mathematikon (INF 205) Konferenzraum (5th floor)
I will present some simple mathematical models for different problems in oncology; preventive gastric cancer screening, head and neck cancer response to radiation therapy, and combination therapies for pancreatic cancer. Mathematical models will be fit to retrospective clinical training data to derive parameter distributions for each participating mechanism. Parameter distributions with small variation will be collapsed into uniform rate constants, leaving variable mechanisms that are most likely to determine patient-specific outcomes. Calibrated models will be validated on independent training data, before virtual "in silico" trials determine optimal treatment protocols on a per patient basis.
Additional information:
After the talk there will be a meetup with the speaker to discuss different subjects in the area of cancer modelling. Discussion topics will include the impact of mathematical and computational models in the clinic, the challenges of interdisciplinary collaboration, and the current hot research topics. The meetup is tailored to provide a relaxed atmosphere where graduate students can have an introspect discussion of the field. Dr. Enderling will also address questions such as:
- What would you have wanted to know when you started working in this field?
- What are the "dos" and "don_ts" for PhD students starting their research in this field?
Master and PhD students are highly encouraged to attend.
Discussion with the speaker after the talk (at around 3pm) Common Room 5/303
Hands-on sessions (in C and Fortran) will allow users to immediately test and understand the basic constructs of GASPI. This course provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves.
For more information and registration, please visit: https://training.bwhpc.de/ilias/goto.php?target=crs_234&client_id=bwhpc
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1. Basic knowledge in Unix / C or Fortran.
2. Bring along a laptop with wireless access via eduroam.
3. You need to have access to the bwUniCluster or the bwForCluster MLS&WISO in Heidelberg/Mannheim. Please note that having access to a bwForCluster other than MLS&WISO is not sufficient!
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http://www.gaspi.de/
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Learn to think and program highly parallel.
programming model of MPI. GASPI, which stands for Global Address Space Programming Interface, is a partitioned global address space (PGAS) API.
The GASPI API is designed as a C/C++/Fortran library and focused on three key objectives: scalability, flexibility and fault tolerance. In
order to achieve its much improved scaling behaviour GASPI aims at asynchronous dataflow with remote completion, rather than
bulk-synchronous message exchanges. GASPI follows a single/multiple
program multiple data (SPMD/MPMD) approach and offers a small, yet
powerful API (see also www.gaspi.de and www.gpi-site.com). GASPI is successfully used in academic and industrial simulation applications.
Hands-on sessions (in C and Fortran) will allow users to immediately test and understand the basic constructs of GASPI. This course provides
scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves.
Please note that for the excercises the user needs to bring an own laptop and to already have access to either the bwUniCluster [1] oder the bwForCluster MLS&WISO Production [2] in Heidelberg/Mannheim. Please notify us in case of any problems. The course language is German (the slides are in English) or English if required.
Additional prerequisites for this course, the agenda and further information can be found at:
https://training.bwhpc.de/ilias/goto.php?target=crs_234&client_id=bwhpc
Please register by sending an e-mail to
hpc-support@urz.uni-heidelberg.de before November 21.
Location: INF 205, Conference room, 5th floor; 09:00 - 17:00
For more see the abstract_file:
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Location: Mathematikon, Im Neuenheimer Feld 205, SR 12
dafür eine Vielzahl an Studienkosten (z.B. für den Laptop, für Lehrmaterialien, Fahrtkosten,
Telefon, Miete u.v.m.). Und diese Ausgaben können vom Finanzamt zurückgeholt werden,
spätestens ab dem Zeitpunkt in dem Steuern anfallen. Erfahrungsgemäß bedeutet das im
ersten Berufsjahr eine Steuererstattung in min. 4-stelliger Höhe. Dieses Geld dient vielen
Jobstartern für den Kauf einer Küche, einem Auto, der Bafög-Rückzahlung oder dem Erwerb
von Möbeln für die neue Wohnung.
Darüber hinaus gibt es auch wirtschaftliche Themen, die im Studium / Promotion bewegt
werden sollten und die eine immer wiederkehrende Steuererstattung ermöglichen. Dies wird
ebenfalls aufgezeigt.
Nach dem Training werden die Teilnehmer:
§ die Vorgehensweise kennen, wie sie ihre Studien- / Promotionskosten rückerstattet
bekommen.
§ für sich wichtige Themen erkennen und einen der größten Steuerhebel nutzen
können.
§ wissen, wie sie einen Verlustvortrag generieren & Werbungskosten und
Sonderausgaben steueroptimiert einordnen können.
Rahmendaten
Bitte hier anmelden
16:15
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Secondly, we discuss surrogate models which aim at a complexity reduction. Here we introduce locally mass conservative scheme in a local postprocessing step as well as adaptive control techniques for resilient multigrid solvers. In all cases, we provide the numerical analysis, algortihmic aspects and illustrative large scale results.
For more see the abstract_file:
Location: Mathematikon, INF 205, SR 9
NLPs when an efficient algorithm for the huge structured KKT systems is
available. This is the case for large scenario trees with a moderate
number of variables per node: we present a distributed ``tree-sparse__
solution algorithm based on a static partitioning of the tree and
featuring low memory and communication overheads. We also address
structured quasi-Newton updates for the sparse Hessian as well as
structured inertia corrections to address non-convexity or
rank-deficiency of the KKT system.
Computational results for benchmark problems from portfolio optimization
and robust model predictive control demonstrate the performance of our
approach.
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Location: Im Neuenheimer Feld 582 2nd Floor @ Heidelberg Startup Partners
Friday, 04.11. 09:00 to 17:00
• Human Centered Innovation/Design Thinking
• Creative Approach to find business aspects in your scientific work
• Design your first business model
• Test with users
Saturday, 05.11. 9:00 Uhr bis 17:00 Uhr.
• Question your business model
• Calculate your costs
• Prepare a presentation
• Present your results
Prerequisites: The course is open for all actual or former members of MathComp and the HGGS who are interested in getting new skills.
No prior knowledge is required.
Please register here
Registration deadline October 20, 2016
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In this talk we introduce the method of multiple shooting for solving the problem. It includes the factors: (f1) partition of the terrain, (f2) the straightness condition for the shortest descending paths at shooting points, and (f3) update of shooting points. In particular, the method does not rely on Steiner point, graph and sequence tree techniques on the entire terrain. If the straightness condition is satisfied then we obtain a local shortest descending path.
The corresponding algorithm is implemented in C++ using CGAL. Numerical results nonetheless indicate that the result is close to a local shortest descending path, even if it does not fulfil the straightness condition.
Location: Mathematikon, Im Neuenheimer Feld 205, SR 12 & SR 9
Please register here
Location: Mathematikon, Im Neuenheimer Feld 205, Konferenzraum 5.104
To solve this problem, it is recasted as a mixed integer program which allows the use of efficient commercial solver. Also we propose an alternate projected gradient algorithm (proximal) so get a nice appoximated solution.
Location: International Academic Forum (IWH), Hauptstraße 242, Heidelberg and MATHEMATIKON
It is our pleasure to announce a workshop on "Inverse problems: theory and statistical inference“ covering
- Variational methods for inverse problems
- Inverse problems in econometrics
- Posterior concentration in Bayes inverse problems
- Mathematical statistics and inverse problems
that will be held on Friday, October 28 and Saturday, October 29, 2016 at the International Academic Forum (IWH), Hauptstraße 242, Heidelberg.
The Workshop is Organized by MAThematics Center Heidelberg (MATCH) and Research Training Group "Statistical Modeling of Complex Systems and Processes“, Heidelberg/Mannheim.
The following speakers have kindly accepted our invitation:
Christoph Breunig (Humboldt-Universität zu Berlin)
Christina Butucea (Université Paris-Est Marne-la-Vallée) Marine Carrasco (Université de Montreal)
Fabienne Comte (Université Paris Descartes)
Thorsten Hohage (Georg-August-Universität Göttingen) Joel Horowitz (Northwestern University) Yuri Golubev (Aix-Marseille Université)
Christine de Mol (Université Libre de Bruxellles) Bartek Knapik (Vrije Universiteit Amsterdam)
Elena Resmerita (Alpen-Adria-Universität Klagenfurt)
Otmar Scherzer (Universität Wien)
Thomas Schuster (Universität des Saarlandes)
Anna Simoni (CNRS and CREST) Aad van der Vaart (Leiden University)
A poster session will complete the program. There are still open slots in the poster session, do not hesitate to ask your colleagues/students to submit an abstract or
paper to Sanja Juric
There is no participation fee. Please announce your participation by email to Sanja Juric
If you like to attend - the reception in the evening on Thursday, Oktober 27th and/or - the workshop dinner on Friday, October 28th, please contact Sanja Juric
Regularly updated information about the workshop can be found under: https://goo.gl/k7GcW7
Please note, there is change of time and location for the introductory course:
"An Introduction to Inverse and Ill-Posed Problems: Theory - Numerics - Applications“ by Professor Thomas Schuster (Universität des Saarlandes)
on Thursday, October, 27th, 14:15 - 15:45, Seminar room 7, 4th floor, MATHEMATIKON
16:15 - 17:45, Seminar room 2, 2nd floor, M?THEM?TIKON
The introductory course
“Nonparametric Instrumental Variables Estimation“ by Professor Joel Horowitz (Northwestern University)
will be held as announced earlier
on Tuesday, October, 25th, 9:15 - 10:40; 11:00 - 12:25; 14:00 - 15:25; 15:45 - 17:10 MATHEMATIKON, conference room, 5th floor
Location: Lecture: INF 205, HS; Practical: INF 294, -101
Leaning Outcomes:
The participants
- can classify easy and hard problems,
- known the full spectrum of algorithms in combinatorial optimization,
- are able to model and solve difficult application problems with appropriate algorithms.
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Lecture 4 h + Exercise course 2 h
- NP-hard optimization problems
- Approximative algorithms and heuristics
- Relaxations
- Branch-and-bound algorithms
- Dynamic programming
- Integer programming
- Polyhedral combinatorics
- Column generation and decomposition
- Traveling salesman problem
- Max-cut problem
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IP, IPK, IAD, MA4
15:00
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Location: Mathematikon, Seminar Room SR 10 / 5th Floor, Im Neuenheimer Feld 205, 69120 Heidelberg
After the lecture (4pm) you are cordially invited to "Meet the lecturer" and have a coffee and pretzel in the Common Room, 5th floor.
Erweiterte Fähigkeit, komplexe wissenschaftliche Literatur in einem Vortrag zu präsentieren
Erweiterte Fähigkeit, zu Vorträgen zu diskutieren und Feedback zu geben
Fähigkeit, ein kurze wissenschaftliche Ausarbeitung zu einem komplexen Thema zu erstellen
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Einführung in und Einübung von Techniken des wissenschaftlichen Schreibens
Vertiefte Einübung der Erschließung und Präsentation wissenschaftlicher Literatur
Fortgeschritteneres Informatikthema
Location: INF 205, SR 10
Machine learning and pattern recognition are currently taking center stage in applications ranging from autonomous driving to social network analysis and drug development.
This seminar covers the essential techniques typically taught in an introductory lecture, including
statistical learning theory
generative and discriminative classifiers
ridge regression, lasso
logistic regression, generalized linear models
kernel methods, support vector machine
perceptron, multi-layer perceptron, neural networks
dimension reduction
cluster analysis
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If you join, you will conduct a literature search on your topic, give a 45 min talk and summarize its contents in a report. You will receive 6 ECTS points and a grade based on: content of your talk (1/3), presentation (1/3) and quality of your report (1/3). This is a "Pflichtseminar" that is eligible towards the specialization in Computational Physics.
Location: INF 205, SR B
- Introduction
- Perception and Color
- Raytracing
- Transformations
- Rasterization
- OpenGL
- Textures
- Curves
- Spatial Data Structures
Objectives:
The students understand fundamental and advanced concepts of computer graphics. They understand the mathematical fundamentals, data structures, and implementation aspects. They get to know raster graphics, geometric transforms, color perception and color models, and basics of geometric modeling. The students are able to apply these concepts to real-world problems using existing software packages, and develop small programs using OpenGL 4.
Prerequisites:
Acquiring basic knowledge in Computer Graphics.
Location: Mathematikon, Bauteil B, Berliner Str. 43, 3. OG, SR B128
In other words, we will study how to make optimal decisions under uncertainty. This relates to important problems in reinforcement learning, control theory and game theory.
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If you join, you will conduct a literature search on your topic, give a 45 min talk and summarize its contents in a report. You will receive 6 ECTS points and a grade based on: content of your talk (1/3), presentation (1/3) and quality of your report (1/3). This is a "Pflichtseminar" that is eligible towards the specialization in Computational Physics.
Location: Lecture Hall, Mathematikon, INF 205
- can describe basic measures and characteristics of complex networks
- can implement and apply basic network analysis algorithms
- can describe different network models and can describe, compute, and analyze characteristic parameters of these models
- know how to compute different complex network measures and how to interpret these measures
- know different generative models for constructing complex networks, especially scale-free networks
- know the fundamental methods for the detection of communities in networks and the analysis of their evolution over time
- are familiar with basic concepts of network robustness
- understand the spread of phenomena in complex networks
________________
- Graph theory and graph algorithms; basic network measures
- Random networks and their characteristics (degree distribution, component sizes, clustering coefficient, network evolution), small world phenomena
- Scale-free property of networks, power-laws, hubs, universality
- Barabasi-Albert model, growth and preferential attachment, degree dynamics, diameter and clustering coefficient
- Evolving networks, Bianconi-Barabasi model, fitness, Bose-Einstein condensation
- Degree correlation, assortativity, degree correlations, structural cutoffs
- Network robustness, percolation theory, attack to
lerance, cascading failures
- Communities, modularity, community detection and evolution
- Spreading phenomena, epidemic modeling, contact networks, immunization, epidemic prediction
Location: INF 205, SR C; Time: tba
To introduce computational tools to perform these tasks and apply them to examples in the computer exercises. While the lecture focuses on the theoretical and mathematical foundations of the field, the computer exercises serve to teach the usage of software tools for modeling, visualization, simulation and optimal control treating different example problems.
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Dynamic process modeling
Mechanical basics, kinematics, dynamics
Multibody system modeling
Simulation of motions
Nonlinear optimization
Direct methods for optimal control problems
Elementary control principles
Basics of system dynamics
Open-loop and closed loop control of motions
Modeling human-like walking and running motions
Modeling locomotion of humanoid and bipedall robots
Stability of motions
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Prerequisites:
Programing skills in C/C++; basic knowledge in numerical analysis
Location: Mathematikon, Im Neuenheimer Feld 205, SR 10
Es wird im Vortrag dargestellt, wie die kognitive Leistung gefördert werden kann sowie die Folgen stressbezogener Belastung minimiert werden können.
In der Einführung werden, je nach Vorkenntnissen der Teilnehmer, theoretische Aspekte für das Verständnis des Themas vorgestellt. Es werden ebenso neuere wissenschaftliche Erkenntnisse im Rahmen des Vortrags berücksichtigt werden.
Zwei Techniken aus der Hypnotherapie werden praktisch eingeübt. Sollte es der zeitliche Rahmen erlauben, können die vorgestellten Übungen an den persönlichen Bedürfnissen angepasst werden.
Praxis und Theorie werden in 90 Minuten inhaltlich auf einander abgestimmt.
Flip-Chart-Arbeit - Power-Point - praktische Übungen - Diskussion und Fragen
Bitte hier registrieren
15:15
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Even basic concepts like the Cauchy-Born strain energy density, the electronic density of states, and the Kubo-Greenwood formulas for transport properties have not been given a rigorous analysis in the incommensurate setting. New approximate approaches will be discussed and the validity and efficiency of these approximations will be examined from mathematical and numerical analysis perspectives.
Location: Seminar Raum A im Mathematikon Bauteil A
how this adaptability can result through intrinsic feedback mechanisms in two different ways: sensory feedback driving feedforward adaptation;
and feedforward adaptation in turn adapting the feedback responses and tuning them to the environment. In the first part of my talk I will
examine how prior sensorimotor cues can be used to learn independent motor memories. These results suggests that motor memories are encoded
not simply as a mapping from current state to motor command but are encoded in terms of the recent history of sensorimotor states. However
learning can also be used to adjust intrinsic feedback control. The second half of my talk will focus on a few recent studies examining
feedback responses; demonstrating both how they are modulated for control and using them to probe the underlying mechanisms of visually
guided reaching. Finally I will present work demonstrate that the visuomotor feedback gain shows a temporal evolution related to task
demands (as predicted by optimal control) and that this evolution can be flexibly recomputed within 100 ms to accommodate online modifications to
task goals.
Location: Mathematikon, Seminar Room SR 10 / 5th Floor, Im Neuenheimer Feld 205, 69120 Heidelberg
Dr. Debesh K. Das received the B.E. and M.E. degrees in electronics and telecommunication engineering and the Ph.D. degree in Engineering from Jadavpur University, Calcutta, India. He is currently with the Department of Computer Science and Engineering, Jadavpur University, as a Professor. Prior to this, he served as Minister-in-Charge of Information Technology in the Govt. of West Bengal. His research interests include logic synthesis and testing of VLSI circuits and fault-tolerant computing. He has published more than 100 papers in reputed Journals and International Conference Proceedings.
Location: MATHEMATIKON, Im Neuenheimer Feld 205, SR 10 (05.101) und Virtual Reality Raum (05.103)
Do, 11. August, 9h30, Seminarraum 10
9h30 - 12h30: Theorie der Fotografie mit praktischen Tipps in Bezug auf SfM-Fotogrfie
= Mittagspause =
13h30 - 17h00: Fotografieren von Beispielobjekten, eigene Fotos aufbereiten und 3D-Modellberechnung starten
Fr, 12. August, 9h30, Seminarraum 10 und Virtual Reality Raum 05.103
9h30 - 12h30: Theorie der Entfernungsbestimmung, Algorithmen zur Berechnungen der 3D-Modelle
= Mittagspause =
13h30 - 16h00: Beurteilung der Ergebnisse vom Vortag, Nachbearbeitung und Programmbedienung
Vom Dozenten und vom Graphiklabor des IWR werden verschiedene Kameras und Objektive zur Verfügung gestellt, aber auch eigene Kameras können mitgebracht und gegen die vorhandenen Systeme getestet werden.
As usual, in accordance with university guidelines, we have to charge 10,- EUR per person to cover expenses - children attend free of charge.
We are offering complimentary child care services for children between the age of 2 and 12.
July 28, 2016 • 18:00
Mathematikon • Atrium
Im Neuenheimer Feld 205
69120 Heidelberg
! Please make sure to register online for the event !
(Registration Deadline: June 26, 2016)
Online Registration
Further inquiries:
Ria Lynott (ria.lynott@iwr.uni-heidelberg.de)
Location: Seminarzentrum Bergheimer Straße 58, 69115 Heidelberg
This two-day course covers the basics of professional University teaching. You will improve your methodological knowledge about the teaching–learning interaction and how that setting can be influenced effectively. The aim is to reach a level of learner-centered teaching that leads to a deep-level learning approach on the side of the students. Hence, interaction with and motivation of the students is in the focus of this course.
- Basic principles of teaching and learning
- Understanding your role as a teacher
- Didactical planning of a course or lesson
- Defining learning objectives – designing learning activities
- Co-operative learning
The course work comprises of short inputs, discussion, group work and individual reflection of personal experiences. Participants are asked to be actively involved in the course by working on their own teaching tasks.
Please register
here
Collective cell motion is a common phenomenon occurring in normal development, repair and disease. Many different types of theoretical models have been proposed for this phenomenon, ranging from systems of partial differential equations, to hybrid cellular automata and discrete cell based models. I will review some recent work we have done in this area, with application to cancer invasion, cranial neural crest migration and epithelial sheet movement.
For more see the abstract_file:
Privacy is a natural need that is not only important for individuals but also for the evolution of society. This includes online privacy as a lot of social interaction happens over the Internet. In this talk I explain what connects the mathematical topic of post-quantum cryptography to the social question of online privacy. Afterwards I will give a brief introduction to post-quantum cryptography and the related mathematical areas, touching on recent developments and open challenges.
For more see the abstract_file:
Location: Seminarraum 314, Bergheimer Straße 20, 69115 Heidelberg
-How do I structure my talk to make it more effective?
-How do I use media efficiently?
-What do I have to bear in mind to address my audience most effectively?
-How can I improve my performance through feedback?
The course requires participants to be actively involved by giving a presentation. Therefore you are expected to prepare a short presentation on your research topic beforehand or after the first day of the workshop.
Systematic feedback (from the group, the tutor, and video) will help you to recognize your strengths and weaknesses, to try out new presentation strategies and thus to improve your presentation skills.
Please note: This is not a language course.
Please register
here
11:15
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This complexity is one of the reasons why mathematical approaches are indispensable in modern neuroscience. We are dealing with highly parallel data, e.g. simultaneous recordings from multiple neurons in electrophysiology, or from millions of volume elements in functional brain imaging. In addition, the emergent properties of complex systems like neuronal networks cannot be simply predicted from linear causal relations and, thus, are often inferred from computer simulations. Third, we are beginning to reveal more and more structural details of the brain – the functional consequences of these boundary conditions are again a topic for mathematicians and network scientists.
In my presentation, I will exemplify some major research problems and approaches of modern neuroscience, focusing on the level of neuronal networks. Our leading question is: How does the brain represent a perception, a memory, a planned action or a motor program? Most neuroscientists agree that this ‘coding’ is performed by multiple cells which are co-activated in a reproducible manner. These sets of neurons are called ensembles or, in other research traditions, assemblies. They can be reproducibly activated even by incomplete input patterns, forming stable spatio-temporal structures or (in one specific approach) attractors in the network’s state-space. In most cases, activation of ensembles happens on top of synchronous network oscillations which provide a temporal scaffold (or ‘clock’) for coordination of the multi-neuronal activity pattern.
In this presentation, we shall discuss the concept of ensembles and its implications for the multiplicity, stability and plasticity of different representations. We will highlight some specific questions based on own and other’s data, mainly from memory-forming networks in the rodent hippocampus. Key questions are: What are the key properties of hippocampal ensembles? How are single neurons bound into reproducible spatiotemporal patterns? How are non-participating neurons reliably suppressed during activation of a given ensemble? How are local ensembles bound into large-scale functional networks?
All of these questions require multidisciplinary approaches including cell and systems physiology, behavioral neurosciences and, importantly, advanced data analysis and mathematical modelling. The importance of (and sometimes lack of) generally accepted quantitative models of neuronal networks, their cellular constituents and their large-scale effects will become clear from each of the multiple open questions mentioned during the presentation.
For more see the abstract_file:
16:15
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For more see the abstract_file:
Location: Mathematikon, Im Neuenheimer Feld 205, Seminarraum 12 (5.floor)
In the workshop you will learn about basic design aspects of research posters and receive feedback on your own draft. The course content will be as following:
- Part 1: „Design“– reducing complex content; layout principles; use of visual elements; technical tips; working on a first draft
- In-between: creating your own poster
- Part 2: short presentations; feedback on drafts/posters
You may bring along posters in English or German. Please note that software related questions (e.g. MS Powerpoint, InDesign, …) are not addressed in the course.
Please register
here
16:15
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Although in nature there is nothing really unbounded problems for partial differential equations in unbounded domains are often used to model certain geometries. Thereby the behavior at infinity of the solutions plays an important role in the modeling process. For elliptic problems, including the stationary Stokes system in particular, a broad theory exists for various kinds of unbounded domains. There results on spatial asymptotics typically appear as a decomposition of the solution into explicitely known terms and a remainder with corresponding estimates. In contrast to this very little is known about time dependent problems. Here we consider time periodic solutions to the Stokes problem in a layer where the data are also time periodic and smooth with bounded support for simplicity.
Location: INF 205, 5th floor, SR 11
16:15
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With these LP advances as a foundation, MIP provides the modeling framework and the key solution technology behind prescriptive analytics. The performance improvements in MIP codes have been nothing short of remarkable, well beyond those of LP, and have transformed this technology into an out-of-the box tool with an almost unlimited range of real-world applications.
For more see the abstract_file:
Location: Mathematikon • Conference Room / 5th Floor (Room 5/104) • Im Neuenheimer Feld 205 • 69120 Heidelberg
We will discuss the roles of optimization, machine learning, and simplified models in these approaches, as well as what insights might be shared between robotics and our simulation-based work in animation. A wide variety of animated results will be shown to illustrate the capabilities of current methods. I_ll also identify several research directions where we still need to see significant progress.
CV:
Michiel van de Panne is a Professor in the Department of Computer Science at the University of British Columbia (UBC), with research interests that span computer graphics, computer animation, and robotics, with a strong focus on modeling human and animal motion and the motor skills that underly their movement. He recently completed 10 years as a Tier 2 Canada Research Chair in Computer Graphics and Animation at UBC. In 2002, he co-founded the ACM/Eurographics Symposium on Computer Animation (SCA), the leading forum dedicated to computer animation research, and has served for many years on its steering committee. He has served as Associate Editor of ACM Transactions on Graphics and regularly serves on program committees that include ACM SIGGRAPH and SCA. He has served as conference co-chair for CAS 1997, SCA 2002, Graphics Interface 2005, SBIM 2007, and SCA 2011. His research has been recognized with an NSERC Discovery Accelerator Supplement and grants from NSERC, GRAND, Adobe, and MITACS. His research has been used in games, visual effects for film, games, and robotics.
Location: Mathematikon (Building B), Seminar Room / 3rd Floor
Location:
Mathematikon (Building B)
Seminar Room / 3rd Floor
Berliner Straße 43
69120 Heidelberg
10:00
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Location: Mathematikon, Im Neuenheimer Feld 205, 5. Stock, Seminarraum 10
Bewerben ist wie flirten: Wer zu langweilig und 08/15 ist oder den falschen Ton trifft, wird abgewiesen. Zwei Vorgehensweisen können nun angewandt werden: die quantitative oder die qualitative Strategie.
Die quantitative Strategie bedeutet: mehr schlechte Bewerbungen schreiben. Sprich: einfach mehr flirten in der Hoffnung, dass auch ein blindes Huhn mal ein Korn findet.
Die qualitative Strategie verspricht, durch eine kluge Bewerbung und souveränes Auftreten in den Gesprächen mehr Erfolg zu haben. Das bedeutet beim Bewerben wie beim Flirten: mehr Auswahl. Um letztere Strategie dreht sich das Seminar.
Inhalt:
-Was unterscheidet eine gute von einer schlechten Bewerbung?
-Wie denkt der Personaler?
-Das Vorstellungsgespräch aus beiden Perspektiven beleuchtet.
-Die typischen Stressfragen und die typischen Fehler des Bewerbers.
-Wie viel Gehalt kann ich verlangen?
Nach dem Seminar werden die Teilnehmer:
-Bessere Bewerbungen schreiben können.
-Mehr Einladungen zu Vorstellungsgesprächen haben.
-Im Vorstellungsgespräch punkten und aus der Masse hervorstechen.
-Im Stressinterview unter Druck gelassen bleiben.
-Gekonnt die Gehaltsfrage klären.
Bitte hier anmelden
DUNE-PDELab is a powerful tool for implementing discretisations of partial-differential equations. It helps to substantially reduce the time to implement discretizations and solvers for (systems of) PDEs based on DUNE. It is not only suitable for rapid prototyping but also for building highly performant simulation software and is used by a variety of projects already.
This one week course will provide an introduction to the most important DUNE modules and especially to DUNE-PDELab. At the end the attendees will have a solid knowledge of the simulation workflow from mesh generation and implementation of finite element and finite volume methods to visualization of the results. Topics covered are the solution of stationary and time-dependent problems, as well as local adaptivity, the use of parallel computers and the solution of non-linear PDE_s and systems of PDE_s.
Location: HCI, room H2.22, Speyerer Str. 6, 69115 Heidelberg
This talk is part of the ORB Oberseminar that for this week has been shifted to: Tuesday, Feb 16, 2016 at 15:00 at Speyerer Str. 6, room H2.22
9:00
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Location: IWR, Room 520, Im Neuenheimer Feld 368, 69120 Heidelberg
First, Krylov subspace methods use linear projections onto a sequence of finite dimensional subspaces. Since these subspaces are formed using repeated applications of the given matrix (operator) to a given initial vector, the methods are highly nonlinear. In fact, the nonlinearity allows for adaptation of the computation to the problem, which often results in an expected acceleration of convergence. If no substantial acceleration occurs and the results of the computation can be described using linear contractions, then one should ask whether the chosen Krylov subspace method is efficient for solving the given problem. The strong nonlinearity poses significant challenges for the analysis of the methods as well
as the understanding of effects of finite precision arithmetic in practical computations.
Different mathematical viewpoints and the resulting tools are used for analysis of Krylov subspace methods.The methods are closely linked with matching moments model reduction and quadrature. Spectral properties (eigenvalues and eigenvectors) of the matrix, together with the projections of the initial vector on the individual invariant subspaces, describe the convergence behavior, provided that the individual spectral invariant subspaces are mutually orthogonal. The general case is intriguing and still
far from being fully understood. Numerical stability of Krylov subspace methods is closely linked with the loss of orthogonality of the computed generating vectors, which is governed by different mechanisms for methods using short and long recurrences.
Finally, it is beneficial to consider formulations of Krylov subspace methods in infinite dimensional Hilbert spaces. That naturally leads to the concept of operator preconditioning. Preconditioning is a crucial part of computations using Krylov subspace methods; in most cases it is based on algebraic considerations and the discretized system of equations. Therefore it could be of interest to make a link between the operator and algebraic preconditioning.
The course will end with discussion of open questions.
Material used in this course:
J. Malek and Z. Strakos, Preconditioning and the Conjugate Gradient Method in the Context of Solving PDEs. SIAM Spotlight Series, SIAM (2015)
J. Liesen and Z. Strakos, Krylov Subspace Methods, Principles and Analysis. Oxford University Press (2013)
and the papers
G. Meurant and Z. Strakos, The Lanczos and conjugate gradient algorithms in finite precision arithmetic, Acta Numerica 15, 471-542 (2006)
T. Gergelits and Z. Strakos., Composite convergence bounds based on Chebyshev polynomials and finite precision conjugate gradient computations, Numer. Alg. 65, 759-782 (2014)
J. Papez, J. Liesen and Z. Strakos, Distribution of the discretization and algebraic error in numerical solution of partial differential equations, Linear Alg. Appl. 449, 89-114 (2014)
Z. Strakos and P. Tichy, On efficient numerical approximation of the bilinear form $c^* A^{-1} b$ , SIAM J. Sci. Comput. 33, 565-587 (2011)
J. Hench and Z. Strakos, The RCWA method - a case study with open questions and perspectives of algebraic computations , ETNA 31, 331-357 (2009)
Please register
here
Location: IWR, Raum 532, Im Neuenheimer Feld 368, 69120 Heidelberg
Auf Grund der begrenzten Platzkapazität wird um Anmeldung per Doodle gebeten.
14:00
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Location: IWR, Raum 532, Im Neuenheimer Feld 368, 69120 Heidelberg
Auf Grund der begrenzten Platzkapazität wird um Anmeldung per Doodle gebeten.
Location: IWR, R 520
This seminar demonstrates how to approach the doctoral thesis in a professional way. Project management tools and techniques are used, tailored to the specific situation of PhD students. You will learn how to set a project vision, define clear objectives, gain buy-in from your supervisor and other colleagues in your group, and how to develop a project plan, which is structured and at the same time flexible enough to easily adjust to unexpected findings. You will establish a \"controlling cycle\" which helps you to recognise risks and problems as early as possible, and you will learn how to manage critical situations and deal with ups and downs. Furthermore, networking with colleagues, supervisors and other people are important topics of this seminar.
Throughout the seminar, you will work on your own doctoral thesis and share your experience with others. This seminar is most beneficial for PhD students who are in the early phases of their doctoral thesis. At the end of the seminar you will have established a strategy on how to approach your own doctoral thesis. During the follow-up REVIEW we will share experience and best practices and deal with open questions from the first module.
This seminar will help you to make the most effective use of your three years and finish your doctoral thesis on time.
You will also learn and practise the basic concepts of project management – a prerequisite in industries and research institutions.
Please register
here.
16:15
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For more see the abstract_file:
The lectures will give an introduction to the theory of submodular functions, their applications in machine learning and related optimization problems.
Part I of the lectures will introduce the concept of submodularity along with several examples, as well as associated polyhedra and relations to convexity. Part II will address the ideas underlying algorithms for minimizing and maximizing submodular functions. For example, those algorithms exploit ties to both convexity and concavity.
Please register here
Location: IWR, Room 432, Im Neuenheimer Feld 368, 69120 Heidelberg
Darüber hinaus gibt es auch wirtschaftliche Themen, die im Studium / Promotion bewegt werden sollten und die eine immer wiederkehrende Steuererstattung ermöglichen. Dies wird ebenfalls aufgezeigt.
Nach dem Training werden die Teilnehmer:
-die Vorgehensweise kennen, wie sie ihre Studienkosten rückerstattet bekommen.
-für sich wichtige Themen erkennen und einen der größten Steuerhebel nutzen können.
-wissen, wie sie einen Verlustvortrag generieren und Werbungskosten und Sonderausgaben steueroptimiert einordnen können.
Anmeldung bitte hier
9:00
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After several decades of intensive research, numerical analysis and simulation of fluid-structure interactions remain a challenging topic with a large number of unresolved problems and issues. While the numerical analysis of the coupled system of equations in terms of well-posedness and convergence is typically limited to simple model problems, a lot of insight have been gained over the years by means of numerical simulations. Established methods like the Arbitrary Lagrangian-Eulerian (ALE) method or the Immersed Boundary Method have been succesfully applied to a wide range of applications, including for example aero-elasticity and aero-acoustics, biomechanics, energy or mechanical engineering.
Nevertheless, there are yet a number of problems, where most of the established methods fail or come to a limit. Problems are caused for example by large structural deformations or contact problems, stiff couplings, extreme parameters or a huge computational complexity. In the last years, a number of novel methods and approaches have been developed to tackle such problems many of them being still subject of ongoing research.
An area of research on its own is the development of efficient solvers for the underlying linear systems of equations. The high complexity of real world applications calls for algorithms that include adaptivity in time and space, model reduction, as well as parallelization. In the case of strong couplings, the coupled system of equations is extremely bad conditioned, such that the design of efficient solvers, e.g. multigrid solvers, is a challenge.
This workshop addresses the previously mentioned challenges and aims at bringing together experts and junior scientists in the fields of modeling, adaptive discretizations and solvers for fluid-structure interaction. To provide a platform in order to teach and learn state-of-the art formulations for fluid-structure interaction, this workshop consists of a two-day-school and a subsequent three-day-symposium. The latter one will consist of invited and contributed presentations of junior scientists and experts whereas the school lectures will be given by three young scientists and experts in their field covering each of the three topics of our symposium.
14:00
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Location: IWR, Room 520, Im Neuenheimer Feld 368, 69120 Heidelberg
Wednesday, December 16
14:00-15:30 Introduction to iterative solvers for large and sparse linear systems
15:30- 16:00 Coffee break
16:00-17:30 Preconditioning techniques
Thursday, December 17
9:00-10:30 Saddle-point systems: applications and spectral properties
10:30-11:00 Coffee break
11:00-12:30 Solution methods for saddle-point systems
12:30-14:00 Lunch break
14:00-16:30 Lab work
Friday, December 18
9:00-10:30 Eigenvalue solvers, part I: solvers based on decompositions
10:30-11:00 Coffee break
11:00-12:30 Eigenvalue solvers, part II: solvers based on matrix-vector products
The course concerns the numerical solution of two fundamental problems in numerical linear algebra: eigenvalue problems and linear systems. The first part describes algorithms for solving eigenvalue problems: QR iterations, methods for the symmetric tridiagonal eigenproblem, Lanczos and Arnoldi, Jacobi-Davidson, and other methods. In the second part we will discuss iterative Krylov subspace methods for solving large sparse linear systems, such as conjugate gradients, MINRES, and GMRES. We then turn our attention to block-structured linear systems arising from problems with constraints. Spectral properties of these matrices and the performance of various iterative solvers will be discussed, and we will cover in detail various preconditioning methodologies based on effective approximations of Schur complements.
Please register here
Nach Public Domain und Open Source ist Open Data ein weiteres Buzzword, das den Zugang zu digitalen Ressourcen thematisiert.
- Public Domain ist die Idee, Programme kostenfrei zu vertreiben. Sie stammt aus der Urzeit der Programmierung. Viele hochwertige Anwendungen sind daraus entstanden.
- Open Source ist der nächste wichtige Meilenstein, denn erst die Freilegung des Quellcodes garantiert, dass Programme transparent werden und viele Entwickler freie Software stetig verbessern können. Mit Linux hat sich das heute erfolgreichste Server-Betriebssystem dieser Idee verschrieben.
- Open Data ist die logische Weiterentwicklung. Vor allem in Verwaltungsorganen, aber auch in öffentlich geförderten Forschungsprojekten oder in Krankenhäusern werden ständig große Datenmengen erzeugt. Diese Daten frei und umfassend zugänglich zu machen, ist die Idee hinter Open Data.
Dieses Konzept ist bestechend: Wenn die Allgemeinheit auf diese mit öffentlichem Geld geförderten Daten vollen Zugriff hat, kann auf vielfältige Weise ein gänzlich neuer Mehrwert entstehen. Aus diesem Ansatz ergeben sich Chancen und Risiken, die wir am Modellierungstag offen diskutieren wollen.
- Grundsätze bei der Publikation von Open Data
- Vorteile und Nachteile von Open Data für Unternehmen
- Qualitätssicherung in Open Data Projekten
- Geschäftsmodelle auf Basis offener Daten
Zu diesen und weiteren Themen erwarten wir interessante Vorträge aus Wissenschaft und Wirtschaft. Auch die öffentliche Verwaltung ist zum Dialog rund um dieses Thema herzlich eingeladen, hängt doch Open Data eng mit Open Government, dem Konzept der offenen Beteiligung der Zivilgesellschaft an der Verwaltung, zusammen.
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Next, we introduce a statistical formulation in which signals are modeled as sparse stochastic processes. These latter entities (including splines) are solutions of non-Gaussian stochastic differential equations and are intrinsically sparse in the sense that they admit a concise representation in a matched wavelet basis. The formalism is applied to the discretization of ill-conditioned linear inverse problems where both the statistical and physical measurement models are projected onto a linear reconstruction space. This leads to the specification of a general class of maximum a posteriori (MAP) signal estimators complemented with a practical iterative reconstruction scheme. While the framework is backward compatible with the traditional methods of Tikhonov and TV, it opens the door to a much broader class of potential functions that are inherently sparse, while it also suggests alternative Bayesian recovery procedures. The approach is illustrated with the reconstruction of images in a variety of modalities including deconvolution microscopy, phase-contrast tomography, and refractive-index microscopy.
Biography:
Michael Unser is professor and director of EPFL_s Biomedical Imaging Group, Lausanne, Switzerland. His primary area of investigation is biomedical image processing. He is internationally recognized for his research contributions to sampling theory, wavelets, the use of splines for image processing, stochastic processes, and computational bioimaging. He has published over 250 journal papers on those topics. He is the author with P. Tafti of the book "An introduction to sparse stochastic processes", Cambridge University Press 2014.
From 1985 to 1997, he was with the Biomedical Engineering and Instrumentation Program, National Institutes of Health, Bethesda USA, conducting research on bioimaging.
Dr. Unser has held the position of associate Editor-in-Chief (2003-2005) for the IEEE Transactions on Medical Imaging. He is currently member of the editorial boards of SIAM J. Imaging Sciences, IEEE J. Selected Topics in Signal Processing, and Foundations and Trends in Signal Processing. He co-organized the first IEEE International Symposium on Biomedical Imaging (ISBI_2002) and was the founding chair of the technical committee of the IEEE-SP Society on Bio Imaging and Signal Processing (BISP).
Prof. Unser is a fellow of the IEEE (1999), an EURASIP fellow (2009), and a member of the Swiss Academy of Engineering Sciences. He is the recipient of several international prizes including three IEEE-SPS Best Paper Awards and two Technical Achievement Awards from the IEEE (2008 SPS and EMBS 2010).
For more see the abstract_file:
Location: HCI, Speyerer Str. 6, Room H2.22, 69115 Heidelberg
November 26, 2015, 13:00-17:00 - Theoretical foundations
November 27, 2015, 09:30-12:30 - Applications in image processing
Registration:
Please register at
http://hgs.iwr.uni-heidelberg.de/Portfolio_HGS/FGEN/form/fgen_form.php?id_form=31
Abstract:
Sparse stochastic processes are continuous-domain processes that admit a parsimonious representation in some matched wavelet-like basis. Such models are relevant for image compression, compressed sensing, and, more generally, for the derivation of statistical algorithms for solving ill-posed inverse problems.
The course will introduce the participants to the extended family of sparse processes that are specified by a generic (non-Gaussian) innovation model or, equivalently, as solutions of linear stochastic differential equations driven by white Lévy noise. We shall provide a complete functional characterization of these processes and highlight some of their properties. The two leading threads that underlie the exposition are:
1) the statistical property of infinite divisibility, which induces two distinct types of behavior Gaussian vs. sparse at the exclusion of any other;
2) the structural link between linear stochastic processes and splines.
The formalism lends itself to the derivation of the transform-domain statistics of these processes and to the identification of optimal (ICA-like) representations. We also show that these models are applicable to the derivation of statistical algorithms for solving ill-posed inverse problems, including compressed sensing. The proposed formulation leads to a reinterpretation of popular sparsity-promoting processing schemes such as total-variation denoising, LASSO, and wavelet shrinkage as MAP estimators for specific types of sparse processes, but it also suggests alternative Bayesian recovery procedures that minimize the estimation error.
The lecture notes for the course are available on the web at www.sparseprocesses.org.
About the instructor:
Michael Unser is Professor and Director of EPFL’s Biomedical Imaging Group, Lausanne, Switzerland. His main research area is biomedical image processing. He has a strong interest in sampling theories, multiresolution algorithms, wavelets, the use of splines for image processing, and, more recently, stochastic processes. He has published about 250 journal papers on those topics. He is the leading author of “An introduction to sparse stochastic processes“, Cambridge University Press, 2014.
From 1985 to 1997, he was with the Biomedical Engineering and Instrumentation Program, National Institutes of Health, Bethesda USA, conducting research on bioimaging and heading the Image Processing Group.
Dr. Unser is a fellow of the IEEE (1999), an EURASIP fellow (2009), and a member of the Swiss Academy of Engineering Sciences. He is the recipient of several international prizes including three IEEE-SPS Best Paper Awards and two Technical Achievement Awards from the IEEE (2008 SPS and EMBS 2010).
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Ziel der Prothetik ist es, Patienten als Ersatz von fehlenden Körperteilen eine individuelle multifunktionale prothetische Versorgung zu bieten, die es ihnen ermöglicht, alltägliche Bewegungen natürlich und ungehindert auszuführen. Spezielle Prothesen, z.B. für bestimmte Sportarten, erlauben den Athleten inzwischen ein derartig hohes Leistungsniveau, dass ihnen teilweise ein Vorteil gegenüber Athleten ohne Prothesen unterstellt wird. Orthesen und Exoskelette hingegen ersetzen keine Gliedmaßen, sondern dienen existierenden Körperteilen Stütze oder Bewegungsantrieb. Ihr Einsatzbereich reicht von der lokalen Bewegungsunterstützung einzelner Gelenke bis zum Enhancement der Kräfte gesunder Menschen und zur Ganggenerierung bei Querschnittsgelähmten.
Vor 100 Jahren, im Ersten Weltkrieg, füllten Hunderte von Prothesen-Modellen die Ausstellungssäle populärer Kriegsausstellungen. Aus historischer Sicht werden technische, medizinische und soziale Entwicklungen und ihre Auswirkungen auf Patienten analysiert. In der Philosophie bestimmt die Enhancement-Debatte die Diskussion über Chancen und Risiken der Robotik. Aus ethischer Sicht wäre zu fragen, inwiefern Prothetik und Orthetik auch die Person als Ganzes betreffen und als Eingriff in die Persönlichkeit verstanden werden müssen. Diese Frage stellt sich insbesondere, wenn man Körper und Persönlichkeit nicht dualistisch trennt, sondern das menschliche Leben als prinzipiell verkörpertes versteht, so dass alle körperlichen Prozesse stets in einem Wirkungszusammenhang mit psychischen Prozessen stehen.
Die Anmeldung erfolgt über das Marsilius-Kolleg.
Location: URZ, Seminar Room 215, Im Neuenheimer Feld 293, 69120 Heidelberg
The basic fracture model problem is augmented with several hints and discussions of serious challenges in developing numerical methods for fracture propagation. Key aspects are robust and efficient algorithms for imposing the previously mentioned crack irreversibility constraint, an heuristic solution of the otherwise indefinite Jacobian matrix, computational analysis of the interplay of model and discretization parameters, goal-functional evaluations, coupling to other multiphyics problems such as fluid-filled fractures in porous media, and steps towards high performance computing for tackling practical field problems.
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Location: IWR, Room 432, Im Neuenheimer Feld 368, 69120 Heidelberg
In this talk, I provide a short overview on Computer Aided Engineering in an industrial context as well as highlighting three innovation topics exploiting state-of-the-art mathematical research: Interactive Computer Aided Engineering, Plug & Play Multi-X-Simulation, and Simulation-based Assist Systems.
For more see the abstract_file:
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Location: IWR, Room 432, Im Neuenheimer Feld 368, 69120 Heidelberg
In this talk I will introduce the method of multiple shooting for solving the problem. It includes the factors: (f1) partition of the domain, (f2) the collinear/straightest condition for the shortest path at shooting points, and (f3) refinement of shooting points. In particular, the method no longer relies on Steiner points and graph tools on the entire domain.
Our corresponding algorithms are implemented in C and comparisons with Lee and Preparata`s algorithm (in a simple polygon) on running time, with Agarwal, Har-Peled, and Karia`s algorithm (on a polytope) on the accuracy of the approximate shortest paths, are presented. This is a joint work with N. N. Hai and T. V. Hoai.
Location: IWR, Raum 520, Im Neuenheimer Feld 368, 69120 Heidelberg
For more see the abstract_file:
Applications of probabilistic graphical models to such large-scale problems raise numerous research problems of modeling and algorithm design for inference and learning, requiring interdisciplinary expertise in applied mathematics, computer science and physics, besides a profound knowledge of the respective application areas.
The basic intention of the Research Training Group is to gather experts from these fields and to establish a coherent research and study program on probabilistic graphical models, with a focus on spatial and spatiotemporal models and their applications in image analysis. The project treats methodological basic research on an equal footing with challenging scientific applications of image analysis in environmental science, life sciences and industry.
The Research Training Group will provide a scientifically unique environment for study, collaboration and innovative research on probabilistic graphical models across disciplines, producing highly-qualified candidates for research careers in academia and industry.
Confirmed speakers:
Mario A. T. Figueiredo, Instituto Superior Técnico, Lisboa, Portugal
Victor Lempitsky, Skoltech Computer Vision, Moskau, Russia
Raquel Urtasun, University of Toronto, Toronto, Canada
Max Welling, University of Amsterdam, Amsterdam, Netherlands
Please register free of charge here by September 30, 2015.
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- Routing problems, such as shortest path, dissimilar paths, etc.
- Traffic assignment modeling
- Traffic simulation
More information are available in the webpage.
Location: IWR, Room 532, Im Neuenheimer Feld 368, 69120 Heidelberg
This course will provide a compact overview of the data-assimilation methods used, with emphasis on the geosciences. We will discuss traditional methods like 3DVar and 4DVar, Kalman Filters and their ensemble variants, but also new developments like hybrid methods, and fully nonlinear methods like particle filters. The lectures are accompanied by computer practicals in which the participants will get hands-on experience with the functioning of all these methods, and their pro’s and con’s. Use will be made of the EMPIRE data-assimilation system, which contains a whole suite of ensemble-based data-assimilation methods, and a whole suite of models used in the geosciences such as atmosphere models, ocean models, land-surface models, space weather models etc. Unique is the fast and efficient connection of any complex model with the EMPIRE data-assimilation system via MPI statements.
The outcome of the course will be a thorough understanding of the basics of present-day and potential future data-assimilation methods, their pro’s and con’s, and some experience with using them on systems of up to intermediate complexity.
Please register
here
Starting with the digital representation of the artwork, the summer school for digital art history demonstrates ways of processing the artwork visually, iconographically and contextually. The focus is on new methods of annotation and image analysis. Up until now nearly all steps of digital image exploitation were left up to various experts: content processing was the task of student assistants and often highly qualified art historians whereas the creation of new digital records only concerned IT specialists or ambitious self-educated scholars. New exploitation strategies, such as crowd sourcing, machine learning and computer vision, provide the specialist with algorithms/artificial intelligence and laypersons that enable effective mass processing of image data. In addition, new collaborations and interdisciplinary links are forming between the classical scientific fields. The digital image is not only described, but also analysed in terms of content and compared with others. These processes must be developed and critically monitored.
! ATTENTION: REGISTRATION REQUIRED !
Please refer to the website of the event and contact Dr. Peter Bell at bell@uni-heidelberg.de for more information.
Location: SR 215, INF 293 (URZ)
computing flow around bodies with complicated geometries. They are an
alternative to body fitted or unstructured grids, which may be harder to
generate and more complex in the bulk of the flowfield. Cut cell methods
\"cut\" the flow body out of a regular Cartesian grid. Most of the grid is
regular. Special methods must be developed for the \"cut cells\", which are
cells that intersect the boundary. Cut cells can have irregular shape and
may be very small. We present a mixed explicit implicit time stepping
scheme for solving the advection equation on a cut cell mesh. The scheme
represents a new approach for overcoming the small cell problem: namely,
that explicit time stepping schemes are not stable on the arbitrarily
small cut cells. Instead, we use an implicit scheme near the embedded
boundary, and couple it to a standard explicit scheme used over most of
the mesh. We compare several ways of coupling the explicit and implicit
scheme, and prove a stability (TVD) result for one of them, which we call
flux bounding. We present numerical results in one, two, and three
dimensions. These results show second-order accuracy in the $L^1$ norm and
between first- and second-order accuracy in the $L^{\\infty}$ norm. (Joint
work with Marsha Berger.)
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Location: INF 368, room 248
"The Data Vortex network enables scientists to perform work on problems that rely on a tremendous flood of processor-to-processor communication, something that present-day computers handle quite poorly. For example, the Data Vortex is used to perform the FFT algorithm. In 1805, Karl Friedrich Gauss used the Fast Fourier Transform to determine the trajectories of the comets Pallas and Juno. It is of note that the original manuscript of Fourier on the subject of Fourier analyses appeared in 1807. The Gauss work describes the data flow of the transform. It is of interest that the Data Vortex computer enables this FFT data flow on a general purpose computer for the first time. This topic of FFT data flow as well as the general topic of data flow algorithms on Data Vortex computers will also be discussed.
Dr. Reed’s talk will be followed by a brief overview of the Data Vortex family of high performance computers currently being manufactured by Plexus, Inc. This overview, given by Mr. Bill Stube, Data Vortex Project Manager for Plexus, Inc., will include a high-level description of the Data Vortex enabled system characteristics, performance comparisons to present-day leading supercomputer systems, and an overview of the simple programming model used by Data Vortex researchers to port their work onto Data Vortex computers."
Full Abstract
Biographie Dr. Coke Stevenson Reed
Website Data Vortex Technologies
Location: Abteilung Schlüsselkompetenzen und Hochschuldidaktik Bergheimer Straße 20, Heidelberg, Seminarraum 314
-How do I structure my talk to make it more effective?
-How do I use media efficiently?
-What do I have to bear in mind to address my audience most effectively?
-How can I improve my performance through feedback?
The course requires participants to be actively involved by giving a presentation. Therefore you are expected to prepare a short presentation/poster on your research topic beforehand / after the first day of the workshop.
Systematic feedback (from the group, the expert, and video) will help you to recognize your strengths and weaknesses, to try out new presentation strategies and thus to improve your presentation skills.
Please note: This is not a language course.
Please register
here
June 11, 9:00-10:30 Room 520
June 12, 9:00-10:30 & 14:00-16:00 Room 532
June 15, 9:00-10:30 & 11:00-12:00 Room 532
June 16, 9:00-10:30 Room 520
June 17, 9:00-10:30 & 14:00-16:00 Room 432
The term “Uncertainty Quantification” is as old as the disciplines of probability and statistics, but as a field of study it is newly emerging. It combines probability and statistics, with mathematical and numerical analysis, large-scale scientific computing, experimental data, model development and application sciences to provide a computational framework for quantifying input and response uncertainties which ultimately can be used for more meaningful predictions with quantified
and reduced uncertainty.
We will motivate the central questions in computational uncertainty quantification through some illustrative examples from subsurface flow,
weather and climate prediction, material science, nuclear reactor physics and biology. The key challenge that we face in all those
applications is the need for fast (tractable) computational tools for high-dimensional quadrature. After a short overview of the available techniques, we study sampling-based approaches in more detail. We put a particular emphasis on multilevel (or multiscale) methods that exploit the natural model hierarchies in numerical methods for partial differential equations. In the final part of the course, we will briefly consider the inverse problems of Bayesian inference, data assimilation and filtering and show how the multilevel techniques presented in the earlier parts of the course can be extended to these more challenging tasks.
A rough outline of the course is:
- Introduction: What is Uncertainty Quantification?
- Motivating Examples from the Earth Sciences, Material Sciences,
Physics and Biology
- High-dimensional quadrature and tractability
- Uncertainty Propagation: “The Forward Problem” Sampling-based approaches
- Basic Monte Carlo Simulation
- Quasi-Monte Carlo Methods
- Multilevel Monte Carlo Methods
- Stochastic Collocation and Polynomial Chaos
Uncertainty Quantification: “The Inverse Problem\"
- Bayes’ Rule and Bayesian Inference
- Markov Chain Monte Carlo
- Multilevel Bayesian Inference
- Future perspectives: Data Assimilation and Filtering
Target group
Doctoral students, postdocs and master students with an interest in reliable scientific computing.
Aims of the course
The aim of the course is to give a basic, hands-on introduction to the evolving field of large scale uncertainty quantification, with a particular emphasis on novel sampling based approaches for high dimensional parameter spaces. Using the tools and techniques addressed in the course, students should be able to decide independently which computational approaches are most suited to a given problem and carry out simple uncertainty quantification studies in their field of study. They should also be able to give a basic assessment of the complexity of the various approaches and assess their feasibility in a given situation.
slides UQ
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The field of computational origami is focused on the development of algorithms for origami design: construct a fold pattern that meets specific objects for the 2D unfolded form, the 3D folded form, and in some case, the phasespace path for transitioning between the two. In this talk I will present several recent developments in origami design algorithms and will show examples of their construction, some rendered in pixels, some rendered in paper.
Robert J. Lang is recognized as one of the foremost origami artists in the world as well as a pioneer in computational origami and the development of formal design algorithms for folding. With a Ph.D. in Applied Physics from Caltech, he has, during the course of work at NASA/Jet Propulsion Laboratory, Spectra Diode Laboratories, and JDS Uniphase, authored or coauthored over 100 papers and 50 patents in lasers and optoelectronics as well as authoring, coauthoring, or editing 14 books and a CDROM on origami. He is a fulltime artist and consultant on origami and its applications to engineering problems but keeps his toes in the world of lasers, most recently as the EditorinChief of the IEEE Journal of Quantum Electronics from 2007-2010. He received Caltech’s highest honor, the Distinguished Alumni Award, in 2009 and was elected a Fellow of the American Mathematical Society in 2013.
For more see the abstract_file:
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The last decade of this past century has been witness to a revolution in the development and application of mathematical techniques to origami, the centuries-old Japanese art of paper-folding. The techniques used in mathematical origami design range from the abstruse to the highly approachable. In this talk, I will describe how geometric concepts led to the solution of a broad class of origami folding problems – specifically, the problem of efficiently folding a shape with an arbitrary number and arrangement of flaps, and along the way, enabled origami designs of mind-blowing complexity and realism, some of which you’ll see, too. As often happens in mathematics, theory originally developed for its own sake has led to some surprising practical applications. The algorithms and theorems of origami design have shed light on long-standing mathematical questions and have solved practical engineering problems. I will discuss examples of how origami has enabled safer airbags, Brobdingnagian space telescopes, and more.
Robert J. Lang is recognized as one of the foremost origami artists in the world as well as a pioneer in computational origami and the development of formal design algorithms for folding. With a Ph.D. in Applied Physics from Caltech, he has, during the course of work at NASA/Jet Propulsion Laboratory, Spectra Diode Laboratories, and JDS Uniphase, authored or co-authored over 100 papers and 50 patents in lasers and optoelectronics as well as authoring, co-authoring, or editing 14 books and a CD-ROM on origami. He is a full-time artist and consultant on origami and its applications to engineering problems but keeps his toes in the world of lasers, most recently as the Editor-in-Chief of the IEEE Journal of Quantum Electronics from 2007-2010. He received Caltech’s highest honor, the Distinguished Alumni Award, in 2009 and was elected a Fellow of the American Mathematical Society in 2013.
For more see the abstract_file:
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As usual, in accordance with university guidelines, we have to charge 10,- EUR per person to cover expenses - children attend free of charge.
Please make sure to register online for the event.
Online Registration
Location: IWR, Room 520
In this one-day workshop you will gain a general understanding of good scientific practice and scientific misconduct (e.g. plagiarism, fabrication, falsification). We will explore key areas of conflict, critical situations and possible causes of misconduct. Questions regarding data management, documentation and ownership will be addressed, as well as the correct use of references and problem areas in the publication process. Furthermore we will reflect on aspects of a functioning supervisor- student- relationship as a factor to prevent scientific misconduct.
Please register here:
here
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