The course focuses on evolutionary analyses and analyses of biological diversity. After the course, the student should be able to:
explain and justify different models of sequence evolution
explain and evaluate different phylogenetic optimality criteria and choose the appropriate criterion to solve a given problem
outline and apply the process to carry out and evaluate a phylogenetic analysis and explain its different parts
explain the principles of up-to-date multivariate methods
choose and apply (for the problem area) existing software on a given biological problem
critically analyse, evaluate and compile obtained results
The course mainly deals with bioinformatics with a focus on evolutionary analyses and contains the following parts and aspects:
Models for sequence evolution and statistical sequence comparisons. Phylogenetics; trees and networks, parsimony, distance methods, probability-based methods (maximum likelihood and Bayesian inference). Multivariate methods for reducing dimensionality and visualisation (PCA and MDS).
The teaching is provided in the form of web-based teaching,computer exercises and project assignment.
Modules: Theory 2 credits; computer exercises 2 credits; project 1 credit The theory part is examined by a written examination. The modules computer exercises and project are examined in writing.
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.