Modul 39-M-Inf-AI-app Applied Artificial Intelligence

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-E0-236 [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]
392107 Schönhuth, Knop, Pianesi   Advances in Attention Networks Course taught in English S Do 12-14 in S1-146 [07.04.-18.07.2025]
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]
392160 Schönhuth, Pianesi   Graph Neural Networks in Biology Course taught in English S Di 16-18 in V2-105/115 [07.04.-18.07.2025]

Applied Artificial Intelligence: 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]
392214 Hesse   Sensorik V Di 10:15-11:45 in CITEC 1.016 [07.04.-18.07.2025]
392221 Hammer   Deep Learning Course taught in English V Mi 12-14 in H5 [07.04.-18.07.2025] am 02.07.2025 im H6
Mi 12-14 in H6 [02.07.2025]
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: 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]
392108 Schönhuth, Knop, Pianesi   Tutorial: Advances in Attention Networks Course taught in English Ü
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]
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]
392163 Schönhuth, Pianesi   Graph Neural Networks in Biology Course taught in English Ü Do 10-12 in B2-229 [10.04.2025]
Do 10-12 in X-B3-116 [17.04.-18.07.2025]
392216 Lipperts, Hesse   Übungen zu Sensorik Ü Di 12:00-13:30 in CITEC 1.016 [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: Übung (Alternative) (Übung)

Keine Veranstaltungen gefunden