Courses by Prof. Dr. Gunnar Rätsch

Links: Course web pageCourse Catalogue ETH

Semester Autumn Semester 2017
Lecturers G. Rätsch
Periodicity yearly course
Language of instruction English

The course "Computational Biomedicine" critically reviews central problems in Biomedicine and discusses the technical foundations and solutions for these problems. Over the past years, rapid technological advancements have transformed classical disciplines such as biology and medicine into fields of apllied data science. While the sheer amount of the collected data often makes computational approaches inevitable for analysis, it is the domain specific structure and close relation to research and clinic, that call for accurate, robust and efficient algorithms. In this course we will critically review central problems in Biomedicine and will discuss the technical foundations and solutions for these problems.

Link: Course webpageCourse Catalogue ETH 

Semester Autumn Semester 2017
Lecturers J. M. Buhmann, T. Hofmann, A. Krause, G.Rätsch
Periodicity yearly course
Language of instruction English

The seminar "Advanced Topics in Machine Learning" familiarizes students with recent developments in pattern recognition and machine learning. Original articles have to be presented and critically reviewed. The students will learn how to structure a scientific presentation in English which covers the key ideas of a scientific paper. An important goal of the seminar presentation is to summarize the essential ideas of the paper in sufficient depth while omitting details which are not essential for the understanding of the work. The presentation style will play an important role and should reach the level of professional scientific presentations.