inf5460 Applied AI - Multimodal-Multisensor Interfaces III: Language Processing, Software, Commercialization, and Emerging Directions (Course overview) - Campusmanagementsystem Stud.IP

inf5460 Applied AI - Multimodal-Multisensor Interfaces III: Language Processing, Software, Commercialization, and Emerging Directions (Course overview)

Department of Computing Science

3 KP

Semester courses Summer semester 2025

Lehrveranstaltungsform: Seminar

2.01.5460 - Applied AI - Multimodal-Multisensor Interfaces 3: Language Processing, Software, Commercialization, and Emerging Directions
- Rida Saghir
- Hannes Kath
- Prof. Dr. Daniel Sonntag
- Novruz Mammadli
- Tuesday, 22.04.25, 13:00 - 14:30 o'clock

Hinweise zum Modul

Prerequisites	basic concepts of Artificial Intelligence, Human-Computer Interfaces
Prüfungszeiten	at the end of the lecture period
Module examination	oral exam or portfolio or presentation
Skills to be acquired in this module	Learning methods of multimodal interaction, learning Human-Computer Interaction concepts. Professional competences The students work their way into the topic of multimodality (competence: basic concepts of multimodality, develop an intuition for multimodal approaches, multimodal fusion techniques Methological competences The students prepare a term paper on a special topic in the field of multimodality (competence: quick comprehension, structured literaturereview, precise expression). Social competences The students choose a topic and interact with each other and the supervising person (competence: communication skills, enthusiasm, initiative) Self competences The students work independently in a supervised setting (competencies: Personal responsibility, analytical thinking, organization, time management)