Modul 39-M-Inf-AI-app Applied Artificial Intelligence
Semesterauswahl: WiSe 2026/2027 SoSe 2026 WiSe 2025/2026 Frühere...
Erläuterung zu den Modulelementen
Bei den Veranstaltungen können folgende Kombinationen aus dem Bereich Applied Artificial Intelligence alternativ studiert werden:
- Variante 1: Vorlesung (2 LP) mit der dazugehörigen Übung (2 LP)
- Variante 2: Seminar (2 LP) mit der dazugehörigen Übung (2 LP)
The following combinations of courses from the area of Applied Artificial Intelligence can be studied alternatively:
- Option 1: Lecture (2 CP) with the corresponding exercise (2 CP)
- Option 2: Seminar (2 CP) with the corresponding exercise (2 CP)
Applied Artificial Intelligence: 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-E0-218 [13.04.-24.07.2026] |
|
| 392041 | Düsing | Learning from Distributed Data eKVV Teilnahmemanagement Course taught in English | S | Mi 10-12 in B2-266 [13.04.-24.07.2026] |
|
| 392047 | Drimalla, Hakobyan | Real-World Problems of Artificial Intelligence eKVV Teilnahmemanagement Course taught in English | S | Do 14-16 in U2-229 [13.04.-24.07.2026] |
|
| 392107 | Schönhuth, Ghaffaari | Data Structures in Pangenomics Course taught in English | S | Do 12-14 in S1-147 [13.04.-24.07.2026] |
|
| 392155 | Rhodin, Appolinary, Schröder, Bhattarai | Generative Models for Visual Computing Course taught in English | S | Mi 10-12 in S1-217 [13.04.-24.07.2026] |
|
| 392160 | Schönhuth, Pianesi | Generative models in Biomedicine Course taught in English | S | Di 16-18 in U2-200 [13.04.-24.07.2026] |
|
Applied Artificial Intelligence: Vorlesung (Vorlesung)
| Belegnr | Lehrende*r | Thema | Art | Termine | Mein eKVV |
|---|---|---|---|---|---|
| 392124 | Hagemeyer, Thies |
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 [13.04.-24.07.2026] |
|
| 392125 | Hesse |
Autonomous Systems Engineering
Begrenzte Teilnahmezahl: 20 eKVV Teilnahmemanagement |
V | Di 14-16 in CITEC 1.016 [13.04.-24.07.2026] |
|
| 392141 | Golyanik, Rhodin | 3D and 4D Computer Vision Course taught in English | V | Mi 16-18 in X-E0-234 [13.04.-24.07.2026] |
|
| 392141 | Golyanik, Rhodin |
Klausur: 3D and 4D Computer Vision - 1. Termin
Anmeldung über das eKVV bis zum
01.07.26
Course taught in English
|
Kl |
|
|
| 392141 | Golyanik, Rhodin |
Klausur: 3D and 4D Computer Vision - 2. Termin
Anmeldung über das eKVV bis zum
05.08.26
|
Kl |
|
|
| 392214 | Hesse | Sensorik | V | Di 10:15-11:45 in CITEC 1.016 [13.04.-24.07.2026] |
|
| 392221 | Hammer | Deep Learning Course taught in English | V | Mi 12-14 in H5 [13.04.-24.07.2026] |
|
| 392221 | Hammer |
Klausur: Deep Learning - 1. Termin
Begrenzte Teilnahmezahl: 200
Anmeldung über das eKVV bis zum
28.07.26
|
Kl |
|
Applied Artificial Intelligence: 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 in X-E0-218 [13.04.-24.07.2026] |
|
| 392043 | Düsing | Tutorial: Learning from Distributed Data eKVV Teilnahmemanagement Course taught in English | Ü | Mi 14-16 in U2-135 [13.04.-24.07.2026] |
|
| 392048 | Drimalla, Hakobyan | Tutorial: Real-World Problems of Artificial Intelligence eKVV Teilnahmemanagement Course taught in English | Ü |
Do 10-12 in CITEC-1.015 [13.04.-24.07.2026] am 09.06.2026 findet die Veranstaltig in CITEC 3.013 statt.
Di 10-12 in CITEC 3.013 [09.06.2026] |
|
| 392108 | Schönhuth, Ghaffaari | Tutorial: Data Structures in Pangenomics Course taught in English | Ü | n.V. [13.04.-24.07.2026] |
|
| 392123 | Mika, Hagemeyer | Übungen zu Embedded Systems | Ü |
Do 12:15-13:45 s.t. in CITEC 1.016 [13.04.-24.07.2026]
Do 10:15-11:45 in CITEC 1.016 [30.04.2026] |
|
| 392126 | Stollenwerk | Übungen zu Autonomous Systems Engineering | Ü | Di 16-18 in CITEC 1.016 [13.04.-24.07.2026] |
|
| 392142 | Golyanik, Rhodin | Tutorial: 3D and 4D Computer Vision Course taught in English | Ü | Mi 12-16 (14-täglich) in X-E0-228 [13.04.-24.07.2026] |
|
| 392163 | Schönhuth, Pianesi | Generative models in Biomedicine Course taught in English | Ü |
Do 10-12 in X-E0-220 [13.04.-07.05.2026]
Do 10-12 in M3-115 [14.05.-24.07.2026] |
|
| 392168 | Rhodin, Bhattarai, Schröder, Appolinary | Generative Models for Visual Computing Course taught in English | Ü | Mi 12-16 (14-täglich) in X-E0-228 [22.04.-24.07.2026] |
|
| 392216 | Lipperts, Hesse | Übungen zu Sensorik | Ü | Di 12:00-13:30 in CITEC 1.016 [13.04.-24.07.2026] |
|
| 392222 | Hammer, Hermes | Tutorial 1: Deep Learning | Ü | Do 12-14 in X-E0-200 [13.04.-24.07.2026] |
|
| 392222 | Hammer, Hartmann | Tutorial 2: Deep Learning | Ü | Mo 12-14 in X-E0-206 [13.04.-24.07.2026] |
|
| 392222 | Hammer, Hartmann | Tutorial 3: Deep Learning | Ü | Di 12-14 in B0-237 [13.04.-24.07.2026] |
|
| 392223 | Hammer, Hermes | Additional Tutorial "Deep Learning" | Ü |
Applied Artificial Intelligence: Übung (Alternative) (Übung)
Keine Veranstaltungen gefunden
Modullinks
Zum Seitenanfang