| Title | Time | Room | Instructor |
|---|---|---|---|
| Foundations of Probability and Statistics for Life Scientists | 11.10.2022 10:15 - 11:30 (Tue) | Mitrouskas, David | |
| Foundations of Probability and Statistics for Life Scientists | 13.10.2022 10:15 - 11:30 (Thu) | Mitrouskas, David | |
| Foundations of Probability and Statistics for Life Scientists | 18.10.2022 10:15 - 11:30 (Tue) | Mitrouskas, David | |
| Foundations of Probability and Statistics for Life Scientists | 20.10.2022 10:15 - 11:30 (Thu) | Mitrouskas, David | |
| Foundations of Probability and Statistics for Life Scientists | 25.10.2022 10:15 - 11:30 (Tue) | Mitrouskas, David | |
| Foundations of Probability and Statistics for Life Scientists | 27.10.2022 10:15 - 11:30 (Thu) | Mitrouskas, David | |
| Foundations of Probability and Statistics for Life Scientists | 03.11.2022 10:15 - 11:30 (Thu) | Mitrouskas, David | |
| Foundations of Probability and Statistics for Life Scientists | 08.11.2022 10:15 - 11:30 (Tue) | Mitrouskas, David | |
| Foundations of Probability and Statistics for Life Scientists | 10.11.2022 10:15 - 11:30 (Thu) | Mitrouskas, David | |
| Foundations of Probability and Statistics for Life Scientists | 15.11.2022 10:15 - 11:30 (Tue) | Mitrouskas, David | |
| Foundations of Probability and Statistics for Life Scientists | 17.11.2022 10:15 - 11:30 (Thu) | Mitrouskas, David |
Description:
The course gives an introduction to probability and statistics aimed at PhD students in the life sciences. The goal is to develop a solid understanding of statistical tools and methods, their range of applicability, and their limitations. Theory and examples will be taught in parallel. We will cover basic notions of probability theory, as well as methods from frequentist and Bayesian statistics.
Capacity:
8/30
Course Code:
C_BIO-1000_F22
Course instructor(s):
David Mitrouskas
Course type:
Taught course
Course level:
Introductory
Primary Track:
Biology
Secondary Track(s):
Data Science & Scientific Computing
Neuroscience
Course format:
On campus
Duration:
Half semester
ECTS:
3
Semester:
Fall 1
Minimum number of participants:
3
Target audience:
Students and postdocs in life science
Prerequisites:
None
Teaching format:
lectures and recitations
Assessment form(s):
weekly exercises
Grading scheme:
Numeric grades (1-5)
Course Category:
Credit Course
Academic Year:
AY 2022/23