Analysis of a Research Topic: Machine Learning for Computer Vision
Organization
- Course creditable toward the module INF-25-MA-AFT
- Language (course and examination): English
- Examination: Complex examination consisting of two parts:
- a written report of at most eight DIN A4 pages with a font size of at least 10pt (50%, to be submitted by email on or before 2027-02-06) and
- a 20-minute slide presentation followed by 5 minutes of discussion (50%, to be scheduled via OPAL according to the schedule below).
- Actions:
- Registration. Additional rules for course registration may apply, depending on the study program.
- Task selection (to open soon) for registered students
- Talk slot selection (to open soon) for registered students
- Submission of written reports
Schedule
| Date | Begin | End | Place | |
|---|---|---|---|---|
| 2026-10-13 | 9:20 | 10:50 | APB-2026 | (no meeting) |
| 2026-10-20 | 9:20 | 10:50 | APB-2026 | Kick-off meeting, topic selection, consultation |
| 2026-10-27 | 9:20 | 10:50 | APB-2026 | Progress meeting, topic selection, consultation |
| 2026-11-03 | 9:20 | 10:50 | APB-2026 | Progress meeting, consultation |
| 2026-11-10 | 9:20 | 10:50 | APB-2026 | Progress meeting, consultation |
| 2026-11-17 | 9:20 | 10:50 | APB-2026 | Progress meeting, consultation |
| 2026-11-24 | 9:20 | 10:50 | APB-2026 | Progress meeting, consultation |
| 2026-12-01 | 9:20 | 10:50 | APB-2026 | Progress meeting, consultation |
| 2026-12-08 | 9:20 | 10:50 | APB-2026 | Progress meeting, consultation |
| 2026-12-15 | 9:20 | 10:50 | APB-2026 | Progress meeting, consultation |
| 2026-12-22 | 9:20 | 10:50 | APB-2026 | (no meeting) |
| 2026-12-29 | 9:20 | 10:50 | APB-2026 | (no meeting) |
| 2027-01-05 | 9:20 | 10:50 | APB-2026 | Progress meeting, consultation |
| 2027-01-12 | 9:20 | 10:50 | APB-2026 | Presentations |
| 2027-01-19 | 9:20 | 10:50 | APB-2026 | Presentations |
| 2027-01-26 | 9:20 | 10:50 | APB-2026 | Presentations |
| 2027-02-02 | 9:20 | 10:50 | APB-2026 | Presentations |
This course is co-located with the Bachelor Seminar and Student Project Seminar Machine Learning for Computer Vision