The Fellow Speakers of HGS MathComp invite all current and prospective fellows to this year’s annual retreat in Tübingen. The retreat offers a unique opportunity to connect with other fellows from diverse fields of scientific computing, discuss your own work, and learn about others’ research interests. Social activities like a city tour on a boat and a fun pub quiz will complete the most likely amazing experience.

Sharpen your skills in software development courses about generative AI for research software . Explore career paths beyond academia by engaging with HGS MathComp alumni now working at leading companies.

Objectives
"Wow, that presenter is so good in front of an audience. If only that were easier for me!" Being a good speaker is often just a question of developing a set of skills and techniques. The use of voice and body language, an effective presentation structure and the dynamic use of language require awareness and practice. The workshop helps to identify and explore these requirements, from self-reflection to self-assurance and long-term excellence.

Description
This seminar provides participants with the opportunity to improve their conference presentation skills. Constructive feedback from the trainer and group members give the speaker a healthy amount of input while practicing new ideas and techniques to enhance the quality of their speech and overall impact of the talk.

Participants will be required to prepare a 3 to 5 minute overview of their work; the use of slides is optional. This will provide a basis for applying the practical aims of the workshop.

Throughout the two-day workshop, participants will be guided through interactive exercises to improve non-verbal communication, improve the ability to listen and react generously, and to integrate focusing techniques, which empower the speaker. Attention will also be given to structural and language aspects to improve clarity and flow of the talk.

Contents in Brief
- Effectively introducing yourself
- Engaging the audience in your talk
- Affirming the strengths and individual style of the speaker
- Improving body language and vocal quality
- Structuring your talk
- Constructive tactics for dealing with nervousness
- Dealing with challenging questions (Q&A sessions)
- Networking at conferences

Methods
- Voice and body techniques
- Partner work
- Language practice and analysis
- Interactive activities with online tools
- Videotaping and feedback sessions

Machine learning affects our daily life in various aspects: online shopping, music and movie suggestions or asking your home assistant for the current weather. Over the last decades, the amount of data has skyrocketed in almost every professional domain. This prompts for efficient computer- and statistics-driven analysis and predictive modeling to extract useful information and guide important decisions.

Machine learning can be performed in all major programming languages, but Python has established itself as a standard. In this course, you will learn the fundamentals of machine learning (data collection, cleaning, modeling and prediction) through hands-on exercises on real-world data sets. You will understand the differences between supervised and unsupervised learning and get to know common models and algorithms. Furthermore, you will be able to evaluate the performance of the trained models.

In the world of machine learning, it is important to critically scrutinize the ethical implications of the application of your models. Hence, we will discuss the challenges and limitations of modern machine learning.

Requirements: Basic knowledge of Python is required, e.g. via a successful completion of our 'Introduction to programming with Python' course, or similar. We will use our own server platform for the course, therefore no additional installation of software is needed.