Semester selection: WiSe 2026/2027 SoSe 2026 WiSe 2025/2026 Previous...
The individual module components can only be studied in specific combinations.
A total of two graded partial examinations and one coursework assignment must be completed.
The following requirements must be met for each combination:
Path 1
Partial examination 1 – Option A: Portfolio with a written final examination (for the lecture + accompanying exercise combination)
Partial examination 2 – Option A: Presentation with a written paper (for the Application-oriented seminar 1 + Application-oriented seminar 2 combination)
Path 2
Partial examination 1 – Option A: Portfolio with a written final examination (for the combination of lecture + accompanying exercise)
Partial examination 2 – Option B: Report (project)
Path 3
Partial examination 1 – Option B: Portfolio with an oral final examination (for the combination of seminar + accompanying exercise)
Partial examination 2 - Option B: Report (project)
Partial examinations are linked exclusively to the following course types:
Coursework is linked to the following course types and must be completed if the course is selected:
Justification of necessity of two partial module examinations:
Two partial examinations are necessary since the theoretical and mathematical competencies are tested in the written/oral examination and practical and methodological knowledge in the project/second seminar.
| Reference no. | Teaching staff | Topic | Type | Dates | My eKVV |
|---|---|---|---|---|---|
| 392221 | Hammer | Deep Learning Course taught in English | V | Wed 12-14 in H5 [13.04.-24.07.2026] |
|
| Reference no. | Teaching staff | Topic | Type | Dates | My eKVV |
|---|---|---|---|---|---|
| 392039 | Hammer, Artelt | Machine Learning for Water Distribution Networks Course taught in English | S | Fri 12-14 in X-E0-218 [13.04.-24.07.2026] |
|
| 392041 | Düsing | Learning from Distributed Data Course taught in English | S | Wed 10-12 in B2-266 [13.04.-24.07.2026] |
|
| 392047 | Drimalla, Hakobyan | Real-World Problems of Artificial Intelligence Course taught in English | S | Thu 14-16 in U2-229 [13.04.-24.07.2026] |
|
| Reference no. | Teaching staff | Topic | Type | Dates | My eKVV |
|---|---|---|---|---|---|
| 392040 | Hammer, Artelt | Tutorials for Machine Learning for Water Distribution Networks Course taught in English | Ü | Fri 10-12 in X-E0-218 [13.04.-24.07.2026] |
|
| 392043 | Düsing | Tutorial: Learning from Distributed Data Course taught in English | Ü | Wed 14-16 in U2-135 [13.04.-24.07.2026] |
|
| 392048 | Drimalla, Hakobyan | Tutorial: Real-World Problems of Artificial Intelligence Course taught in English | Ü |
Thu 10-12 in CITEC-1.015 [13.04.-24.07.2026] am 09.06.2026 findet die Veranstaltig in CITEC 3.013 statt.
Tue 10-12 in CITEC 3.013 [09.06.2026] |
|
| 392142 | Golyanik, Rhodin | Tutorial: 3D and 4D Computer Vision Course taught in English | Ü | Wed 12-16 (every two weeks) in X-E0-228 [13.04.-24.07.2026] |
|
| 392222 | Hammer, Hermes | Tutorial 1: Deep Learning | Ü | Thu 12-14 in X-E0-200 [13.04.-24.07.2026] |
|
| 392222 | Hammer, Hartmann | Tutorial 2: Deep Learning | Ü | Mon 12-14 in X-E0-206 [13.04.-24.07.2026] |
|
| 392222 | Hammer, Hartmann | Tutorial 3: Deep Learning | Ü | Tue 12-14 in B0-237 [13.04.-24.07.2026] |
|
| Reference no. | Teaching staff | Topic | Type | Dates | My eKVV |
|---|---|---|---|---|---|
| 392222 | Hammer, Hermes | Tutorial 1: Deep Learning | Ü | Thu 12-14 in X-E0-200 [13.04.-24.07.2026] |
|
| Reference no. | Teaching staff | Topic | Type | Dates | My eKVV |
|---|---|---|---|---|---|
| 392226 | Rhodin, Bhattarai, Appolinary, Schröder | Project: Applied Focus Visual Computing Course taught in English | Pj | by appointment [13.04.-24.07.2026] |
|
| 392230 | Neumann, Stranghöner | Project: Robot Learning in the Age of Foundation Models Course taught in English | Pj | ||
| 392231 | Wachsmuth, Niemann | Project: 3D Person detection and tracking using monocular vision and depth generation models Course taught in English | Pj | by appointment [13.04.-24.07.2026] |
|
| 392250 | Schulz, Isaac J. Roberts | Projekt: Applying and Extending Concept-based xAI | Pj | by appointment [13.04.-24.07.2026] |
|
| Reference no. | Teaching staff | Topic | Type | Dates | My eKVV |
|---|---|---|---|---|---|
| 392109 | Kappel | Journal Club: Foundations of Sustainable Machine Learning Course taught in English | S | Thu 12-14 in CITEC 1.015 [13.04.-24.07.2026] |
|
| 392148 | Neumann, Stranghöner | Robot Learning in the Age of Foundation Models Course taught in English | S | Mon 14-16 in CITEC 1.015 [13.04.-24.07.2026] |
|
| Reference no. | Teaching staff | Topic | Type | Dates | My eKVV |
|---|---|---|---|---|---|
| 392109 | Kappel | Journal Club: Foundations of Sustainable Machine Learning Course taught in English | S | Thu 12-14 in CITEC 1.015 [13.04.-24.07.2026] |
|
| 392148 | Neumann, Stranghöner | Robot Learning in the Age of Foundation Models Course taught in English | S | Mon 14-16 in CITEC 1.015 [13.04.-24.07.2026] |
|
| Reference no. | Teaching staff | Topic | Type | Dates | My eKVV |
|---|---|---|---|---|---|
| 392141 | Golyanik, Rhodin | 3D and 4D Computer Vision Course taught in English | V | Wed 16-18 in X-E0-234 [13.04.-24.07.2026] |
|
| 392141 | Golyanik, Rhodin |
Klausur: 3D and 4D Computer Vision - 1. Termin
Registration via the electronic course catalogue (eKVV) by
7/1/26
Course taught in English
|
Kl |
|
|
| 392141 | Golyanik, Rhodin |
Klausur: 3D and 4D Computer Vision - 2. Termin
Registration via the electronic course catalogue (eKVV) by
8/5/26
|
Kl |
|