bio150 - Statistics for Biologists (Complete module description)
Module label | Statistics for Biologists |
Module code | bio150 |
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 | |
Skills to be acquired in this module | [nop] + 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 + data presentation and evidence-based discussion (written and spoken) + teamwork [/nop] Knowledge in applied statistics Basic knowledge of programming language R Ability to plan, conduct and interpret statistical analysis of biological data |
Module contents | Introduction to applied statistics - background and application in R: Logic, set theory, combinatorics, probability theory, distributions, descriptive statistics, inferential statistics, statistical tests, ANOVA, study design, Bayes' statistics, correlation, regression, curve fitting |
Recommended reading | A detailled script for lecture and exercises is available in Stud.IP |
Links | |
Language of instruction | German |
Duration (semesters) | 1 Semester |
Module frequency | jährlich |
Module capacity | unlimited |
Reference text | Übungen mit R können auf einem eigenen Laptop oder im Rechnerraum absolviert werden |
Type of module | je nach Studiengang Pflicht oder Wahlpflicht |
Module level | --- |
Type of course | Comment | SWS | Frequency | Workload of compulsory attendance |
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Lecture | 2 | SuSe | 28 | |
Exercises | 2 | SuSe | 28 | |
Total module attendance time | 56 h |
Examination | Prüfungszeiten | Type of examination |
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Final exam of module | within two weeks after lecture time |
written exam (+15% bonus points from exercises) |