pb150 - Introduction to biological Data Analysis in Matlab (Complete module description)
Module label
Introduction to biological Data Analysis in Matlab
Modulkürzel
pb150
Credit points
6.0 KP
Workload
180 h
Institute directory
Institute for Biology and Environmental Sciences
Verwendbarkeit des Moduls
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Zuständige Personen
Kretzberg, Jutta (Module responsibility)
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
Literaturempfehlungen
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
Modullevel / module level
Modulart / typ of module
Lehr-/Lernform / Teaching/Learning method
Vorkenntnisse / Previous knowledge
Form of instruction
Comment
SWS
Frequency
Workload of compulsory attendance
Seminar
1
SoSe
14
Practical training
3
SoSe
42
Präsenzzeit Modul insgesamt
56 h
Examination
Prüfungszeiten
Type of examination
Final exam of module
two weeks after course
portfolio Bonus up to 20% for exercises