The following courses are taught by Pascal Fua, Mathieu Salzmann and members of the CVLab.

CS-442 Computer Vision

The course introduces the basic techniques of the field of Computer Vision. The students will learn to apply Deep Machine Learning, Geometry, and Image Processing techniques where appropriate.

The course is taught by Prof. Pascal Fua in spring semesters.

CS-233 Introduction to Machine Learning

The course introduces basic Machine Learning techniques, with a focus on Computer Vision applications.

In fall semesters, the course is taught by Dr Mathieu Salzmann.
Coursebook: CS-233-A
Moodle: CS-233-A

In spring semesters, the course is taught by Prof. Pascal Fua.
Coursebook: CS-233-B
Moodle: CS-233-B

DH-406 Machine Learning for the Digital Humanities

Teaching MLThis course aims to introduce the basic principles of signal processing and machine learning in the context of the digital humanities. Exercises, numerical examples and computer sessions will allow the students to acquire a practical understanding of the techniques studied in class.

The course is taught by Mathieu Salzmann in fall semesters.