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This entry is from Winter semester 2019/20 and might be obsolete. No current equivalent could be found.
CS 596 — Advanced Module Databionics
(dt. Fortgeschrittenenmodul Datenbionik)
Level, degree of commitment | Advanced module, depends on importing study program |
Forms of teaching and learning, workload |
Lecture (4 SWS), recitation class (2 SWS), 270 hours (90 h attendance, 180 h private study) |
Credit points, formal requirements |
9 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. |
Origin | B.Sc. Computer Science |
Duration, frequency |
One semester, irregular |
Person in charge of the module's outline | Prof. Dr. Alfred Ultsch |
Contents
Building on the basic modules in Data Bionics / Knowledge Discovery, further topics from the fields of Data Bionics, Artificial Intelligence, Machine Learning and Bioinformatics are dealt with intensively.
Qualification Goals
The students shall
- acquire in-depth knowledge and skills in the transfer of algorithms for data processing observed in nature into computer programs and learn to apply them in practice,
- learn to apply the acquired knowledge and skills by means of selected applications,
- improve their oral communication skills in the exercises by practicing free speech in front of an audience and during discussion.
Prerequisites
None.
Applicability
The module 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 B.Sc. Computer Science, this module can be attended in the study area Compulsory Elective Modules in Computer Science.
The module can also be used in other study programs (export module).
Die Wahlmöglichkeit des Moduls ist dadurch beschränkt, dass es der Praktischen 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.