sitem Center for Translational Medicine and Biomedical Entrepreneurship

Standalone Modules

Module 3 - Fundamentals in AI

 

Content

Module 3 teaches basic knowledge in AI models including mathematical concepts that are relevant for “building blocks” of neural networks. Participants will learn about basic elements of AI models including e.g. data representations, strategies for optimization and methods for the evaluation of AI models.

Learning objectives

In this module participants gain a basic understanding of different learning problems and that learning an AI model corresponds to solving an optimization problem. They have active knowledge of appropriate evaluation techniques for AI modules and understand the mathematical concepts behind basic building block of a neural network and other AI approaches.

Learning content

The Fundamentals in AI cover an overview, representation in Machine Learning, discrimination and confidence, as well as  learning, evaluation, generalization I and II. It also features deep feedforward networks and wrap-up & project-specific fundamentals.

Start & Duration

2020: 26 November 2020
2021: TBC

The completion of this module takes approximately 10 weeks.

Credits

2 ECTS

Fee

The cost of this standalone module is 1'600.– SFr.

Reference

02.003

 

Module Leader

Postdoctoral Researcher, Support Center for Advanced Neuroimaging, University Hospital Inselspital Bern

Dr. Raphael Meier

Raphael Meier has a background in biomedical engineering and informatics. He is a postdoctoral researcher at the Support Center for Advanced Neuroimaging of the University Institute for Diagnostic & Interventional Neuroradiology at the Inselspital in Bern. Raphael’s research is focused on the application of machine learning to solve problems in brain image analysis. In particular, he is interested in techniques important for translation of machine learning methods into clinics such as model interpretability, uncertainty quantification and model validation. Furthermore, he is interested in imaging biomarker discovery for brain tumors and stroke.