Heidelberg Graduate School HGS MathComp

HGS MathComp Curriculum

WS 12/13SS 13WS 13/14SS 14WS 14/15SS 15WS 15/16SS 16WS 16/17SS 17

Core Courses
Compact Courses
info  Introduction into financial mathematicsDr. Stephan Ludwig November 2-4, 2016 ECTS-Points: 2
Abstract, registration & information:
The compact course intents to give a broad overview of the financial industry, its instruments and markets with a quantitative focus. It addresses the valuation of standard financial instruments - e.g. options – and portfolio theory in more detail. After the course you should be able to decide whether to go deeper into a specific area of quantitative finance. Basics in differential-equations, numeric calculus and stochastic processes are helpful but not a must. Bring your laptop with you.

Please register here
Location:
Mathematikon, Im Neuenheimer Feld 205, SR 12 & SR 9
Time:
9:00
ECTS-Points:
2
info  Digital Image ProcessingProf. Dr. Bernd Jähne Febr 13 - 24, 2017, daily Mo - Fr ECTS-Points: 8
Abstract, registration & information:
Continuous and discrete signals, sampling theorem, signal representation
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.
________________________

(MWInf6)
Location:
Mathematikon A, SR 10
Time:
10:15
ECTS-Points:
8
info  DUNE/PDELab CourseProf. Dr. Peter Bastian March 06-10, 2017 ECTS-Points: not yet determined
Link for more information Location:
05.104 of the Mathematikon, Im Neuenheimer Feld 205
Time:
9:00
ECTS-Points:
not yet determined
Software Training
info  Efficient Parallel Programming with GASPIDipl.-Math. Mareike Schmidtobreick Nov 24 & 25, 2016 ECTS-Points: 2
Abstract, registration & information:
In this tutorial we present an asynchronous data flow programming model for Partitioned Global Address Spaces (PGAS) as an alternative to the programming model of MPI.
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.
Link for more information
Location:
INF 293 / URZ
Time:
8:30
ECTS-Points:
2
Key Competence Courses
info  Vorstellungsgespraech, Auswahlverfahren & Einstiegsgehalt - Todsünden und TugendenMichael Müller, Diplomvolkswirt February 23, 2017 9:00 a.m. - 5:00 p.m. ECTS-Points: 1
Abstract, registration & information:
Ziel des Workshops ist es, die Hürden des Bewerbungsprozesses leichter zu nehmen und
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, Im Neuenheimer Feld 205, SR 12
Time:
9:00
ECTS-Points:
1

Workshops & Schools
Workshops
info  Stressmanagement in Praxis und TheorieDipl.-Psych. Walter Ph. Krämer 12. Oktober 2016 – 15:30 bis 17:00 Uhr ECTS-Points: 1
Abstract, registration & information:
Die Bedeutung der Mentalen Leistungsfähigkeit nimmt im Wandel der kognitiven Anforderungen einer modernen Arbeitswelt stetig zu. Der Zusammenhang von psychomentaler Überlastung und kognitiver Einschränkungen wird häufig unterschätzt, besonders bei Menschen mit hohem Leistungspotenzial bzw. im Rahmen anspruchsvoller beruflicher Tätigkeiten.
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
Location:
Mathematikon, Im Neuenheimer Feld 205, SR 10
Time:
15:30
ECTS-Points:
1
info  BiofluidmechanicsProf. Dr. Eva Gutheil Nov 24 & 25, 2016 ECTS-Points: 1
Abstract, registration & information:
The short course addresses the improvement of medical health with respect to the treatment of the human respiratory system as well as that of cerebral aneurysms with flow diverter stents. Different views from representatives of the Medical Schools as well as experts in computational fluid dynamics and from aerosol devices enlighten the problems and their solutions with new treatment options.
Abstract (PDF)
Location:
INF 205, Conference room, 5th floor; 09:00 - 17:00
Time:
9:00
ECTS-Points:
1
info  7. Monte Carlo and Big Data Workshopvarious February 10-11, 2017 ECTS-Points: not yet determined
Link for more information Location:
Philosophenweg 19, 69120 Heidelberg
Time:
8:55
ECTS-Points:
not yet determined
Schools
info  Summer School on Applied Mathematics and Scientific Computingvarious October 03 - 07, 2016 ECTS-Points: 3
Abstract, registration & information:
The summer school is jointly organized by the IWR, Universität Heidelberg and Ateneo de Manila, Manila, Philippines. The school brings together experts from Germany and the Philippines to lecture on various topics of Scientific Computing
Link for more information
Location:
Escaler Hall, 1st Floor, Science Education Complex Bldg A (SEC-A), Ateneo de Manila University, Katipunan Avenue, Loyola Heights, Quezon City, the Philippines
Time:
8:00
ECTS-Points:
3

Further Studies
Lectures
info  Complex Network AnalysisProf.Dr. Michael Gertz Mo & Thur ECTS-Points: 8
Abstract, registration & information:
The students
- 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
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- 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:
Lecture Hall, Mathematikon, INF 205
Time:
14:00
ECTS-Points:
8
info  Modeling, Optimization and Control of Mechanical SystemsProf. Dr. Katja Mombaur Oct 17, 2016 - Febr 11, 2017 ECTS-Points: 8
Abstract, registration & information:
To give an application oriented introduction to modeling, optimization and control of mechanical systems with a focus on complex multibody systems in robotics and biomechanics.
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:
INF 205, SR C; Time: tba
Time:
8:30
ECTS-Points:
8
info  Computer GraphicsProf. Dr. Filip Sadlo Oct 18, 2016 - Feb 8, 2017, Tue 14:00 -16:00 & Wed 11:00-13:00 ECTS-Points: 8
Abstract, registration & information:
Content:
- 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:
INF 205, SR B
Time:
14:00
ECTS-Points:
8
info  Effiziente Algorithmen 2Prof. Dr. G. Reinelt Oct 20, 2016 - Feb 11, 2017; Lecture: Tue. & Thu 14.-16, Practical: Mo. 14-16 or 16-18 ECTS-Points: 8
Abstract, registration & information:
Learn the full spectrum of algorithms for finding good approximate solutions to difficult combinatorial optimization problems or for solving them to proven optimality

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
Location:
Lecture: INF 205, HS; Practical: INF 294, -101
Time:
14:00
ECTS-Points:
8
Practicals
info  GASPI Tutorial November 24 & 25, 2016 ECTS-Points: not yet determined
Abstract, registration & information:
In this tutorial we present an asynchronous data flow programming model for Partitioned Global Address Spaces (PGAS) as an alternative to the
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:
Computing Center of Heidelberg university
Time:
9:00
ECTS-Points:
not yet determined
Seminars
info  Machine LearningProf. Dr. F. Hamprecht Oct 18, 2016 - Feb 06, 2017; 11:15 - 12:45 ECTS-Points: 6
Abstract, registration & information:
Machine Learning is the science and art of extracting meaningful information from data. In supervised machine learning, we use a training set of annotated examples to teach a computer to make valid predictions, or to reliably recognize items. In unsupervised learning, we use computers in an exploratory fashion, to discover interesting patterns in data.

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 10
Time:
11:15
ECTS-Points:
6
info  Advanced Machine LearningProf. Dr. F. Hamprecht Oct 18, 2016 - Feb 06, 2017; 14:00 - 15:30 ECTS-Points: 6
Abstract, registration & information:
Deductive logic is the tool of choice when premises are or are not true. This seminar will focus on a generalization of logic when the aim is to maximize our expected utility in cases where a premise holds only with a certain probability.

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:
Mathematikon, Bauteil B, Berliner Str. 43, 3. OG, SR B128
Time:
14:00
ECTS-Points:
6
info  Combinatorial OptimizationProf. Dr. G. Reinelt, R. Shen Mo 16:00 - 18:00 ECTS-Points: 4
Abstract, registration & information:
Kenntnis von Techniken des wissenschaftlichen Schreibens (insbesondere auch Literaturrecherche) Fähigkeit, komplexe wissenschaftliche Literatur zu erschließen
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
Link for more information
Location:
INF 205, SR 5
Time:
16:00
ECTS-Points:
4
info  Entrepreneurship or How to turn scientific projects into productsDr. Raoul Haschke November 4-5, 2016 9:00-17:00 ECTS-Points: 1
Abstract, registration & information:
Your goal is to learn how to develop a scientific project into an innovation. Along the question of how to become an Entrepreneur we enlarge your abilities in project-management, presentation and handling unknown situations.

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
Location:
Im Neuenheimer Feld 582 2nd Floor @ Heidelberg Startup Partners
Time:
9:00
ECTS-Points:
1
info  Steuertipps meets Financial Education – Studien / Promotionskosten vom Staat erstatten lassenMaximilian Scheidt November 21, 2016 14:00 – 18:00 ECTS-Points: 1
Abstract, registration & information:
Manche Studien behaupten: Der Steuerspartrieb der Deutschen ist stärker ausgeprägt als der Sexualtrieb. Nun haben Studenten im Studium nur selten Steuerabgaben zu leisten, aber
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
Location:
Mathematikon, Im Neuenheimer Feld 205, SR 12
Time:
14:00
ECTS-Points:
1