Population genetics seeks to understand how the genetic composition of populations changes as they evolve. The course will cover the fundamental evolutionary processes, and especially, selection. Random drift and the coalescent will be covered more fully in “Applications of Stochastic Processes”, which requires somewhat more mathematics. Lectures will be accompanied by simulation exercises.
The course is aimed at both biology and DSSC tracks. Clashes with other evolution/modelling/bioinformatics courses should be avoided.
I had intended teaching this every other year, alternating with AppStochProc. However, if there is sufficient demand, I will teach it every year
Target group: Students with an interest in evolutionary/population genetics; possibly also appropriate for students interested in biological modelling.
Prerequisites: Basic mathematical and computational ability, some knowledge of evolution (e.g. Intro to Evolution, or equivalent).
Evaluation: Homework (no exam)
Teaching format: Lectures, problems classes
ECTS: 3 Year: 2020
Track segment(s):
BIO-EVO Biology - Evolutionary and Population Biology
Teacher(s):
Nicholas Barton
Teaching assistant(s):
Ksenia Khudiakova Arka Pal
If you want to enroll to this course, please click: REGISTER
- Trainer/in: Nick BARTON
- Teaching Assistant: Arka Pal