Organisation: Lectures (12h)

Coordinators: Bianca Habermann, Alphée Michelot, Elisabeth Rémy

Evaluation: project and continuous monitoring

Following [PRO2] seminars, the students will attend all the Centuri seminars of this semester. For two of them, they will be asked to broaden their knowledges on the subject and present an oral and written synthese.

Organisation: Lectures (6h), TD (6h) TP( 6h) 

Lecturers : Thomas Lecuit , Florence Hubert

Evaluation:  project

Fundamentals of morphogenesis: molecular, cellular and biophysical basis of tissue forms in animals and plants. The mechanical and biochemical basis of morphogenesis will be addressed to understand the origin of cell and tissue organization. This course is an introduction to the modeling of the emergence of spatial and temporal patterns in morphogenesis and to the description and understanding of Turing instabilities.

• Developmental Biology
• Immunology
• Neurobiology

Organisation: Lectures (6h), TD (6h) TP( 6h) 

Lecturers : Guillaume Voisine

Evaluation:  final exam

The course will focus on the different aspects of immunology as approached by physicists. In particular, the following will be studied: Discrimination of antigens by T cells, communication between cells with cytokines and finally a part on differentiation.

Organisation: Lectures (6h), TD (6h) TP( 6h) 

Lecturers : Claudio Riviera

Evaluation:  final exam

This course covers basic principle in neuroscience. During the lectures special emphasis will be placed on the mechanism of synapse formation and plasticity, functional network maturation, pathophysiology of the brain and role of glia-neuron interaction in network dynamics. Also an introduction to computational methods for analysis and modelling of neurobiological data will be presented. During the TD the students will be challenged in the form of a project where acquired knowledge in mathematical and computational biology will be used to solve specific problems in neuroscience.

Organisation: Lectures (10h), TD (8h), TP (12h)

Lecturers:  Anais Baudot

Evaluation: final exam, projects and oral presentation

This module will introduce the bases of biological network analysis, from graph theory and algorithms to dynamical modeling. A large part of the module is dedicated to hands-on tutorials, which introduces R and Python packages, as well as softwares widely used in Network Biology, such as Cytoscape and GinSim.

Organisation: project during the semester

Coordinator: Florence Hubert, Laurence Röder

Evaluation: project

At the end of the courses  [PRO1], and [BIO1], students will choose a scientific article at the interface of several disciplines on which they will work in groups. They will have to present in a memory and an oral presentation, to explain the biological context and the related basic concepts, to explain the methods used to interpret the biological data, to synthesize the results obtained in the article.

Organisation: Lectures (6h), TD (6h), TP (6h)

Lecturers:  Pierre Pudlo

Evaluation: continuous exam and projects

This course is an introduction to inferential statistics. It will be illustrated with biogical examples.  The course will be composed by  three parts

• Multiple tests
• Classification
• Time series analysis

Organisation: Project

Coordinator: Florence Hubert, Laurence Röder

Evaluation: project

Following the module [PROJ1], the students will do a short internship in laboratory. They will have to propose a modelling or data processing problem at the math-info-bio interface. They will be asked to synthesize their results in a dissertation and an oral presentation.

Organisation: Lectures (10h), TD (8h), TP (12h)

Lecturers: Anais Baudot

This module will introduce the bases of biological network analysis, from graph theory and algorithms to dynamical modeling. A large part of the module is dedicated to hands-on tutorials, which introduces R and Python packages, as well as softwares widely used in Network Biology, such as Cytoscape and GinSim.