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Root number
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519160 |
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Semester
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HS2026 |
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Type of course
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Lecture |
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Allocation to subject
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Biology |
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Type of exam
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not defined |
| Title |
Quantitative Biology I |
| Description |
This course introduces key concepts in quantitative biology and illustrates how mathematics, programming, and statistics are used to analyze biological questions. The course serves as a bridge between technical foundation courses (e.g., statistics, mathematics, and programming) and their practical application in modern biological research.
Using practical examples and interactive tutorials, core concepts are presented and illustrated through biological models. Topics include programming concepts such as loops to simulate biological models (e.g., Wright–Fisher models), statistical tests such as the chi-square test to examine Hardy–Weinberg equilibrium, and differential equations to describe ecological dynamics, for example in Lotka–Volterra predator–prey models.
At the same time, the course provides an overview of current quantitative research approaches at the Department of Biology at the University of Bern, illustrating how quantitative methods are applied across different biological disciplines. The course is aimed at biology students who want to understand how quantitative tools are used to model biological processes and analyze biological data. |
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ILIAS-Link (Learning resource for course)
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Link to another web site
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| Lecturers |
Dr.
Stephan Peischl, Institute of Ecology and Evolution (IEE)
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ECTS
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2 |
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Recognition as optional course possible
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Yes |
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Grading
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1 to 6 |
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| Dates |
Thursday 08:15-10:00 Weekly
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Rooms
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |