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.
Target group: Students and postdocs in life science.
Prerequisites: None
Evaluation: weekly exercises
Teaching format: Lectures and Recitations
ECTS: 3 Year: 2021
Track segment(s):
DSSC-PROB Data Science and Scientific Computing - Probabilistic Models
MAT-PROB Mathematics - Probability
Teacher(s):
Guillaume Dubach
Teaching assistant(s):
If you want to enroll to this course, please click: REGISTER
- Teacher: Guillaume Dubach
- Teaching Assistant: Laura Hayward