Self Supervised Learning

This is an advanced MSc course on Self Supervised Learning for Summer 2026, designed for 2nd and 3rd semester students.

Prerequisites

This course requires a good understanding of deep learning and machine learning.

Schedule

Tutorials: Mondays, 16:00–18:00, room TBD Lectures: Fridays, 14:00–16:00, HS4

Date Time Topic
Lecture 1 April 17, 2026 14:15–16:00, HS4 TBD
Tutorial 1 April 20, 2026 16:15–18:00 TBD
Lecture 2 April 24, 2026 14:15–16:00, HS4 TBD
Tutorial 2 April 27, 2026 16:15–18:00 TBD
May 1, 2026 Public Holiday
Lecture 3 May 8, 2026 14:15–16:00, HS4 TBD
Tutorial 3 May 11, 2026 16:15–18:00 TBD
Lecture 4 May 15, 2026 14:15–16:00, HS4 TBD
Tutorial 4 May 18, 2026 16:15–18:00 TBD
Lecture 5 May 22, 2026 14:15–16:00, HS4 TBD
May 29, 2026 ascension break
Tutorial 5 June 1, 2026 16:15–18:00 TBD
- June 5, 2026 - No Lecture
Lecture 6 June 12, 2026 14:15–16:00, HS4 TBD
Tutorial 6 June 15, 2026 16:15–18:00 TBD
Lecture 7 June 19, 2026 14:15–16:00, HS4 TBD
Tutorial 7 June 22, 2026 16:15–18:00 TBD
Lecture 8 June 26, 2026 14:15–16:00, HS4 TBD
Tutorial 8 June 29, 2026 16:15–18:00 TBD
Lecture 9 July 3, 2026 14:15–16:00, HS4 TBD
Tutorial 9 July 6, 2026 16:15–18:00 TBD
Lecture 10 July 10, 2026 14:15–16:00, HS4 TBD
Tutorial 10 July 13, 2026 16:15–18:00 TBD
Lecture 11 July 17, 2026 14:15–16:00, HS4 TBD
Tutorial 11 July 20, 2026 16:15–18:00 TBD
Lecture 12 July 24, 2026 14:15–16:00, HS4 TBD

Course Material

Course materials and lecture content will be made available closer to the course start date.

Questions

For any questions regarding this course, please contact blumh@uni-bonn.de.