pb150 - Introduction to biological Data Analysis in Matlab (Complete module description)
| Module label | Introduction to biological Data Analysis in Matlab |
| Module code | pb150 |
| Credit points | 6.0 KP |
| Workload | 180 h |
| Institute directory | Institute for Biology and Environmental Sciences |
| Applicability of the module |
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| Responsible persons |
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| Prerequisites | information meeting |
| Skills to be acquired in this module | +knowledge of biological working methods +biologically relevant knowledge in the natural sciences and mathematics ++statistics & scientific programming +interdisciplinary knowledge & thinking ++abstract, logical, analytical thinking +independent learning and (research-based) working +teamwork The students are to learn: to use the Matlab programming environment to understand biological data processing, modelling and simulation to plan simple software for data analysis and simulation independently and to develop it in Matlab |
| Module contents | In this course, students are introduced to the use of the programming tools of Matlab in biosciences. At first, basic concepts of programming are presented and the general use of Matlab is practised. Later, the focus is on biological applications of Matlab. Exercises can be done within three weeks in individual speed. Topics: Scripts, vectors and matrics, graphics, data types, saving and loading data, functions, if-statements, loops, searching and sorting, statistics, complex data types, modelling, handles, software design |
| Recommended reading | detailed script in Stud.IP |
| Links | |
| Language of instruction | German |
| Duration (semesters) | 1 Semester |
| Module frequency | annually |
| Module capacity | 24 |
| Reference text | three week block course in semester break |
| Type of course | Comment | SWS | Frequency | Workload of compulsory attendance |
|---|---|---|---|---|
| Seminar | 1 | SuSe | 14 | |
| Practical training | 3 | SuSe | 42 | |
| Total module attendance time | 56 h | |||
| Examination | Prüfungszeiten | Type of examination |
|---|---|---|
| Final exam of module | two weeks after course |
portfolio Bonus up to 20% for exercises |
