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This entry is from Winter semester 2019/20 and might be obsolete. No current equivalent could be found.
CS 589 — Small Advanced Module Unsupervised Learning
(dt. Kleines Aufbaumodul Unsupervised Learning)
Level, degree of commitment | Advanced module, compulsory elective module |
Forms of teaching and learning, workload |
Lecture (2 SWS), recitation class (2 SWS), 180 hours (60 h attendance, 120 h private study) |
Credit points, formal requirements |
6 CP Course requirement(s): Successful completion of at least 50 percent of the points from the weekly exercises. Examination type: Written or oral examination |
Language, Grading |
German,The grading is done with 0 to 15 points according to the examination regulations for the degree program B.Sc. Computer Science. |
Duration, frequency |
One semester, irregular |
Person in charge of the module's outline | N.N. |
Contents
n.a. (see Qualification Goals and Business Event Announcements)
Qualification Goals
The students will
- acquire basic knowledge and skills in unsupervised learning,
- learn the theoretical basics of the respective area as well as selected applications,
- practice fundamental methods of computer science,
- improve their oral communication skills in the exercises by practicing free speech in front of an audience and during discussion.
Prerequisites
None.
Applicability
Module imported from B.Sc. Computer Science.
It can be attended at FB12 in study program(s)
- B.Sc. Data Science
- B.Sc. Computer Science
- B.Sc. Mathematics
- B.Sc. Business Informatics
- M.Sc. Data Science
- M.Sc. Computer Science
- M.Sc. Mathematics
- M.Sc. Business Informatics
- M.Sc. Business Mathematics
When studying M.Sc. Business Mathematics, this module can be attended in the study area Specialization Modules.
Die Wahlmöglichkeit des Moduls ist dadurch beschränkt, dass es der Computer Science zugeordnet ist.
Recommended Reading
- Depending on topic
Please note:
This page describes a module according to the latest valid module guide in Winter semester 2019/20. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:
- Winter 2016/17 (no corresponding element)
- Summer 2018
- Winter 2018/19
- Winter 2019/20
- Winter 2020/21
- Summer 2021
- Winter 2021/22
- Winter 2022/23
- Winter 2023/24 (no corresponding element)
The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.
The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.