Advanced Module Databionics
(dt. Fortgeschrittenenmodul Datenbionik)
|Level, degree of commitment in original study programme||Intermediate module, compulsory elective module|
|Forms of teaching and learning,
|Lecture (4 SWS), recitation class (2 SWS), |
270 hours (90 h attendance, 180 h private study)
Course requirement: Successful completion of at least 50 percent of the points from the weekly exercises.
Examination type: Written or oral examination
|German,The grading is done with 0 to 15 points according to the examination regulations for study course B.Sc. Computer Sciences.|
|Original study programme||B.Sc. Informatik / Informatik Wahlpflichtmodule|
|One semester, |
|Person in charge of the module's outline||Prof. Dr. Alfred Ultsch|
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.
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.
This page describes a module according to the latest valid module guide in Wintersemester 2022/23. 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:
- WiSe 2016/17 (no corresponding element)
- SoSe 2018 (no corresponding element)
- WiSe 2018/19
- WiSe 2019/20
- WiSe 2020/21
- SoSe 2021
- WiSe 2021/22
- WiSe 2022/23
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.