pb150 Introduction to biological Data Analysis in Matlab (Complete module description)
| Module title | Introduction to biological Data Analysis in Matlab | ||||||||||||
| Module code | pb150 | ||||||||||||
| Credit points | 6.0 KP | ||||||||||||
| Responsible institute | Institute for Biology and Environmental Sciences | ||||||||||||
| Responsible persons |
Module responsibility:
Jutta Kretzberg
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| Prerequisites |
information meeting |
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| Language of instruction | German | ||||||||||||
| Learning outcomes/competencies |
+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 |
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| 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 |
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| Recommended reading | detailed script in Stud.IP |
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| Required assesment |
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| Duration (semesters) | 1 Semester | ||||||||||||
| Module frequency | annually | ||||||||||||
| Workload |
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| Course type |
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| Further information | three week block course in semester break Module Capacity: |
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| Applicability of the module |
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