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 [07.04.-18.07.2025] Am 02.07. fällt die Vorlesung aus!
392221 Hammer   Klausur: Deep Learning - 1. Termin
Registration via the electronic course catalogue (eKVV) by 7/9/25
Course taught in English
Kl
392221 Hammer   Klausur: Deep Learning - 2. Termin
Registration via the electronic course catalogue (eKVV) by 9/26/25
Course taught in English
Kl

Applied Artificial Intelligence (focus): Seminar (seminar)

Reference no. Teaching staff Topic Type Dates My eKVV
392155 Rhodin, Appolinary, Schröder, Bhattarai   Generative Models for Visual Computing Course taught in English S Wed 10-12 in H9 [07.04.-18.07.2025]

Applied Artificial Intelligence (focus): Exercise (exercise)

Reference no. Teaching staff Topic Type Dates My eKVV
392222 Hammer, Kenneweg   Tutorial Deep Learning Ü Thu 12-14 in H16 [07.04.-18.07.2025]
392223 Hammer, Kenneweg   Additional Tutorial "Deep Learning" Ü Wed 14-16 ONLINE [07.04.-18.07.2025]

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

No courses found

Applied Artificial Intelligence (focus): Project (project)

No courses found

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 [07.04.-18.07.2025]
392155 Rhodin, Appolinary, Schröder, Bhattarai   Generative Models for Visual Computing Course taught in English S Wed 10-12 in H9 [07.04.-18.07.2025]

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 [07.04.-18.07.2025]
392155 Rhodin, Appolinary, Schröder, Bhattarai   Generative Models for Visual Computing Course taught in English S Wed 10-12 in H9 [07.04.-18.07.2025]