Seminar Machine Learning and Artificial Intelligence

This course aims at providing an overview and understanding of the state of the art research in AI, computer vision and machine learning. Moreover, it will allow students to develop soft skills such as: critical analysis, presenting, and team work. Recent publications are discussed in detail so that students can build a deep understanding of the methodologies and concepts in these fields. This is a continuous evaluation course. Thus, every discussion and presentation of the students is used in their assessment. Some sessions may be substituted by seminars from external speakers.

Details

Code 31607
61607
Type Seminar
ECTS 5
Site Bern
Track(s) T3 – Visual Computing
T6 – Data Science
Semester S2025

Teaching

Learning Outcomes

Upon successful completion of the course the student

  1. will be able to read and critically analyze scientific publications in AI, computer vision and machine learning
  2. will have developed presentation skills and the ability to discuss and answer questions
  3. will be able to work in teams and independently
Lecturer(s) Paolo Favaro
Language english
Course Page

The course page in ILIAS can be found at https://ilias.unibe.ch/goto_ilias3_unibe_crs_3102274.html.

Schedules and Rooms

Period Weekly
Schedule Monday, 10:15 - 12:00
Location UniBE, Engehaldenstrasse 8
Room 111

Evaluation

Evaluation type continuous evaluation

Additional information

Comment

First Lecture
The first lecture will take place on Monday, 17.02.2025 at 10:15 in UniBE, Engehaldenstrasse 8, room 111.