Seminar Machine Learning and Artificial Intelligence

The objective of the computer vision seminar is to create a research background and culture (e.g., awareness of what has been done and is being done in computer vision and machine learning) and to develop presentation and critical analysis skills. Themes in computer vision and machine learning will be presented for a few weeks. Each theme will consist of a general presentation of the topic and of a more specialized recent work within the topic. Attendees will be required to attend all seminars and to present once per theme a paper selected from the literature. It is also possible to arrange presentations of own research work.


Code 31874
Type Seminar
Site Bern
Track(s) T3 – Advanced Information Processing
T6 – Data Science
Semester A2021


Learning Outcomes

Upon successful completion of this class, you will be able to:

  • Develop presentation skills and learn how to prepare and deliver presentations of your work or the work of others
  • Learn and understand fundamental up-to-date themes in the area of Computer Vision and Machine Learning
  • Develop critical analysis skills
Lecturer(s) Paolo Favaro
Sepehr Sameni
Language english
Course Page

The course page in ILIAS can be found at

Schedules and Rooms

Period Weekly
Schedule Tuesday, 10:15 - 12:00
Location UniBE, Neubrückstrasse 10
Room 302


Evaluation type continuous evaluation

Additional information


First Lecture
The first lecture will take place on Tuesday, 21.09.2021 at 10:15 in UniBE, Neubrückstrasse 10, room 302.

This teaching unit will be held in a hybrid form.