Number of hours
- Lectures 18.0
- Projects -
- Tutorials -
- Internship -
- Laboratory works -
- Written tests -
ECTS
ECTS 1.5
Goal(s)
This interdisciplinary MSc course is designed for applicants with a biomedical, computational or mathematical background. It provides students with the necessary skills to produce effective research in bioinformatics and computational biology. The objective is to provide a short introduction on bioinformatics modelling and advanced tools for the analysis of sequence data. The course language is english.
Responsible(s)
Olivier FRANCOIS
Content(s)
The first part of the course focuses on application in molecular biology and evolution, including hierarchical clustering and the analysis of phylogenetic and population genetic data. The second part of the course focuses on machine learning for biological data, and includes change point detection in sequences and unsupervised clustering of massive genetic data. The course is evaluated with two lab-works, one for each part of the course.
Prerequisites
Basic knowledge in applied mathematics, computer programming (Python, R, Matlab) and statistics. No specific prerequisites.
Test
Oral presentation, written exam
N1 = 0.5*E1a + 0.5*E1b
N2 = E2
The exam is given in english only 
Calendar
The course exists in the following branches:
- Curriculum - Math. Modelling, Image & Simulation - Semester 9 (this course is given in english only
)
Additional Information
Course ID : 5MM2533I
Course language(s):
The course is attached to the following structures:
You can find this course among all other courses.