Modul 39-M-Inf-AI-app-foc Applied Artificial Intelligence (focus)
Semesterauswahl: WiSe 2025/2026 SoSe 2025 WiSe 2024/2025 Frühere...
Erläuterung zu den Modulelementen
Bei den Veranstaltungen sind folgende Kombinationsmöglichkeiten erlaubt:
- Variante 1: Vorlesung (2 LP) mit der dazugehörigen Übung (2 LP) + Seminar (2 LP) mit der dazugehörigen Übung (2 LP)
- Variante 2: Vorlesung (2 LP) mit der dazugehörigen Übung (2 LP) + Projekt (4 LP)
Begründung der Notwendigkeit von zwei Teilprüfungen:
Zwei Teilprüfungen sind notwendig, da in der Klausur/mündlichen Prüfung die theoretischen und mathematischen Kompetenzen und im Projekt/Seminar praktische sowie methodische Kenntnisse geprüft werden.
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/seminar.
The following combinations of courses are permitted:
- Option 1: Lecture (2 CP) with the corresponding exercise (2 CP) + seminar (2 CP) with the corresponding exercise (2 CP)
- Option 2: Lecture (2 CP) with the corresponding exercise (2 CP) + project (4 CP)
Applied Artificial Intelligence (focus): Projekt (Projekt)
| Belegnr | Lehrende/r | Thema | Art | Termine | Mein eKVV |
|---|---|---|---|---|---|
| 392159 | Porrmann | Einsatz rekonfigurierbarer und paralleler Rechnersysteme | Pj | n.V. in CITEC 3.204 [07.04.-18.07.2025] |
|
| 392226 | Rhodin, Bhattarai, Appolinary, Schröder, Xu | Project: Probabilistic Visual Computing Course taught in English | Pj | n.V. [07.04.-18.07.2025] |
|
| 392234 | Porrmann | Project: Autonomous Systems Engineering | Pj | n.V. in CITEC 3.204 [07.04.-18.07.2025] |
|
| 392247 | Wachsmuth, Niemann | Project: LiDAR-based 3D Person Detection for Automatic Train Operation (ATO) Course taught in English | Pj | n.V. [07.04.-18.07.2025] |
|
| 392248 | Wachsmuth, Niemann | Project: Vision-based Human Safety and Assistance Detection for Public Spaces Course taught in English | Pj | n.V. [07.04.-18.07.2025] |
|
| 392253 | Yang, Wachsmuth | Sensor Fusion for Person Detection Using RGB-D and Laser Data | Pj | n.V. [07.04.-18.07.2025] |
|
| 392254 | Yang, Wachsmuth | Human Orientation Estimation from 3D Human Skeleton Course taught in English | Pj | n.V. [07.04.-18.07.2025] |
|
Applied Artificial Intelligence (focus): Seminar (Seminar)
| Belegnr | Lehrende/r | Thema | Art | Termine | Mein eKVV |
|---|---|---|---|---|---|
| 392039 | Hammer, Artelt | Machine Learning for Water Distribution Networks Course taught in English | S | Fr 12-14 in X-E0-236 [07.04.-18.07.2025] |
|
| 392042 | Hammer, Liuliakov | Implications of the AI Act in Machine Learning Course taught in English | S | Mo 12-14 in S1-501 [07.04.-18.07.2025] |
|
| 392119 | Johnson | Explainable AI for Affective Computing Course taught in English | S |
Mi 10-12 in CITEC 2.015 [07.04.-18.07.2025] Am 09.04. und 11.06.25 in CITEC 1.015
Mi 10-12 in CITEC 1.015 [09.04.2025] Mi 10-12 in CITEC 1.015 [04.06.2025] |
|
| 392142 | Kopp, Österdiekhoff, Voß |
Applied Cognitive Computing: Advancing Reinforcement Learning Agents through Cognitive Mechanisms
Begrenzte Teilnahmezahl: 70 eKVV Teilnahmemanagement Course taught in English |
S |
Mo 14-16 in V2-205 [07.04.-18.07.2025]
Di 08-10 in CITEC 2.015 [07.04.-18.07.2025] |
|
| 392144 | Kopp, Schröder | AI in Games | S | Mo 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 | Mi 10-12 in H9 [07.04.-18.07.2025] |
|
Applied Artificial Intelligence (focus): Vorlesung (Vorlesung)
| Belegnr | Lehrende/r | Thema | Art | Termine | Mein eKVV |
|---|---|---|---|---|---|
| 392121 | Hagemeyer |
Embedded Systems
Auf Wunsch bzw. bei Bedarf der Studierenden kann die Vorlesung auch auf Englisch angeboten werden. |
V | Do 10:15-11:45 in CITEC 1.204 [07.04.-18.07.2025] |
|
| 392125 | Hesse | Autonomous Systems Engineering | V | Di 14-16 in CITEC 1.015 [07.04.-18.07.2025] |
|
| 392221 | Hammer | Deep Learning Course taught in English | V | Mi 12-14 in H5 [07.04.-18.07.2025] |
|
| 392221 | Hammer |
Klausur: Deep Learning - 1. Termin
Anmeldung über das eKVV bis zum
09.07.25
Course taught in English
|
Kl |
|
|
| 392221 | Hammer |
Klausur: Deep Learning - 2. Termin
Anmeldung über das eKVV bis zum
26.09.25
Course taught in English
|
Kl |
|
Applied Artificial Intelligence (focus): Übung (Übung)
| Belegnr | Lehrende/r | Thema | Art | Termine | Mein eKVV |
|---|---|---|---|---|---|
| 392040 | Hammer, Artelt | Tutorials for Machine Learning for Water Distribution Networks Course taught in English | Ü | Fr 10-12 ONLINE [07.04.-18.07.2025] |
|
| 392043 | Hammer, Liuliakov | Tutorials: Implications of the AI Act in Machine Learning Course taught in English | Ü | Mo 14-16 ONLINE [07.04.-18.07.2025] |
|
| 392123 | Mika, Hagemeyer | Übungen zu Embedded Systems | Ü | Mo 16:00-17:30 s.t. in CITEC 1.016 [07.04.-18.07.2025] |
|
| 392126 | Hesse | Übungen zu Autonomous Systems Engineering | Ü | Di 16-18 in CITEC 1.016 [07.04.-18.07.2025] |
|
| 392143 | Kopp, Österdiekhoff, Voß |
Tutorial: Applied Cognitive Computing: Advancing Reinforcement Learning Agents through Cognitive Mechanisms
Begrenzte Teilnahmezahl: 70 eKVV Teilnahmemanagement Course taught in English |
Ü | Mo 12-14 in CITEC 2.015 [07.04.-18.07.2025] |
|
| 392145 | Kopp, Schröder | Tutorial: AI in Games | Ü | Mo 14-16 in CITEC 1.015 [07.04.-18.07.2025] |
|
| 392156 | Rhodin, Bhattarai, Schröder, Appolinary | Generative Models for Visual Computing | Ü | Mi 14-16 in H9 [07.04.-18.07.2025] |
|
| 392222 | Hammer, Kenneweg | Tutorial Deep Learning | Ü | Do 12-14 in H16 [07.04.-18.07.2025] |
|
| 392223 | Hammer, Kenneweg | Additional Tutorial "Deep Learning" | Ü | Mi 14-16 ONLINE [07.04.-18.07.2025] |
|
Applied Artificial Intelligence (focus): Übung (Alternative) (Übung)
| Belegnr | Lehrende/r | Thema | Art | Termine | Mein eKVV |
|---|---|---|---|---|---|
| 392131 | Johnson | Tutorial: Explainable AI for Affective Computing Course taught in English | Ü | Mo 16-18 (14-täglich) in CITEC 2.015 [07.04.-18.07.2025] |
|
Modullinks
- Studieninformationsseite
-
- Applied Artificial Intelligence (focus): Projekt (Projekt)
- Applied Artificial Intelligence (focus): Seminar (Seminar)
- Applied Artificial Intelligence (focus): Vorlesung (Vorlesung)
- Applied Artificial Intelligence (focus): Übung (Übung)
- Applied Artificial Intelligence (focus): Übung (Alternative) (Übung)
Zum Seitenanfang