(dt. Statistische Bioinformatik)
|Level, degree of commitment in original study programme||Advanced module, compulsory elective module|
|Forms of teaching and learning,
|Lecture (2 SWS), recitation class (2 SWS), |
180 hours (60 h attendance, 120 h private study)
Course requirement: Successful completion of at least 50 percent of the points from the weekly exercises as well as at least 2 presentations of the tasks.
Examination type: Oral or written examination
|German,The grading is done with 0 to 15 points according to the examination regulations for study course M.Sc. Computer Sciences.|
|Original study programme||M.Sc. Informatik / Vertiefungsbereich Informatik|
|One semester, |
I.d.R. in jedem Sommersemester
|Person in charge of the module's outline||Prof. Dr. Dominik Heider|
Selected topics from statistical bioinformatics that are required for calculations in the natural sciences, in particular from the field of biological data processing (e.g. alignments, encoding), as well as methods from the fields of statistics (e.g. statistical tests, evaluation) and static learning (e.g. Random Forests). The methods are presented in the lecture. During the exercise, their application will be practiced using concrete case studies. In the practical course a project is worked out independently with the help of the presented methods.
The students are familiar with the most important methods from statistical bioinformatics that are required for calculations in the natural sciences. They have understood these methods and are able to select, execute and implement suitable procedures for concrete case studies.
None. The competences taught in the following modules are recommended: Introduction to Bioinformatics, Introduction to Statistics.
- Witten, Frank und Hall: Data Mining, Morgan Kaufmann
- Weitere Literatur wird in der Lehrveranstaltung bekanntgegeben.
This page describes a module according to the latest valid module guide in Wintersemester 2020/21. 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.