Module 39-M-Inf-AI-app-foc_a Applied Artificial Intelligence (focus)

Explanation regarding the elements of the module

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:

  • Lecture, Seminar, Application-oriented seminar seminar 2, Project

Coursework is linked to the following course types and must be completed if the course is selected:

  • Application-oriented seminar 1, Project

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.

Applied Artificial Intelligence (focus): Lecture (lecture)

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]

Applied Artificial Intelligence (focus): Seminar (seminar)

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]

Applied Artificial Intelligence (focus): Exercise (exercise)

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]

Applied Artificial Intelligence (focus): Exercise (Alternative) (exercise)

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]

Applied Artificial Intelligence (focus): Project (project)

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]

Applied Artificial Intelligence (focus): application-oriented seminar 1 (seminar)

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]

Applied Artificial Intelligence (focus): application-oriented seminar 2 (seminar)

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]

Other courses

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