Intelligent Systems
Module Description
| Course | Module Abbreviation | Credit Points |
|---|---|---|
| Bachelor CL | AS-CL | 4 LP |
| Vorlesung Informatik | BA | 4 LP |
| Lecturer | Stefan Riezler |
| Module Type | {} |
| Language | English |
| First Session | {} |
| Time and Place | {} |
| Commitment Period | tbd. |
Participants
Bachelor students in Computer Science and Computational Linguistics.
Prerequisite for Participation
Recommended for Computer Science students: Algorithmen und Datenstrukturen (IAD), Mathematik für Informatiker 1/2 (IMI1 und IMI2), Einführung in die Wahrscheinlichkeitstheorie und Statistik (MA8). Recommended for Computational Linguistics students: Mathematische Grundlagen, Statistische Methoden
Assessment
Written Exam (4 LP)
Contents
The lecture covers the broad field of intelligent systems. This includes basic mathematical and algorithmic aspects, as well as a range of applications where intelligent systems are utilized. The fields of applications are selected from research conducted at Heidelberg University and Mannheim, such as Natural Language Processing, Medicine, Computer Vision, or Robotics. In this way students get an overview of the research conducted in this region.
