ECTS
4 credits
Component
Faculty of Science
List of courses
Your choice: 1 of 7
Public health and prevention
4 creditsHealth Policy and Public Health
Evolutionary genomics
4 creditsEvolutionary ecology
4 creditsEXDIM: Multidimensional data mining
4 creditsAlignment and Phylogeny
4 creditsChoice 5
4 creditsBioinformatics Learning Lab
2 creditsBiological information
2 credits
Public health and prevention
ECTS
4 credits
Component
Faculty of Science
Evolutionary genomics
ECTS
4 credits
Component
Faculty of Science
This UE has three objectives:
1) deepen knowledge of genetic and evolutionary genomics concepts such as linkage disequilibrium, selection, coalescence theory, detection of natural selection and evolutionary forces acting on genome evolution and the process of genomic speciation.
2) Offer an overview of research themes in evolutionary genomics in the form of educational seminars: molecular evolution, evolutionary genomics of endosymbioses, chromosome evolution and molecular evolution.
3) Finally, the EU proposes a project for the bioanalysis of an empirical dataset to understand the analysis of evolutionary genomics and get to grips with the bioinformatics aspects increasingly developed in the discipline.
Evolutionary ecology
ECTS
4 credits
Component
Faculty of Science
"The aim of this course is to complement the first semester's teaching by developing the issues involved in the evolution of phenotypes and the main associated methodological approaches. Lessons will address the evolution of different types of traits (life-history traits, traits involved in reproductive strategies, traits involved in biotic interactions, quantitative traits). The main approaches covered include game-theoretic formalization, adaptive dynamics, quantitative genetic approaches and the work of confronting theoretical predictions with empirical data. Teaching includes:
1) lectures on the main concepts of evolutionary ecology;
2) tutorials focusing on document studies and exercises".
EXDIM: Multidimensional data mining
ECTS
4 credits
Component
Faculty of Science
"This module introduces table management and the link between multivariate and univariate: matrix manipulation and common operations; notion of projection and distance; translation of descriptive and univariate statistics with multiple regression/ACP/AFD as an example; indices of (dis)similarity, distance; correlation".
Alignment and Phylogeny
ECTS
4 credits
Component
Faculty of Science
Bioinformatics Learning Lab
ECTS
2 credits
Component
Faculty of Science