Description

Learning objectives :

• Description, topology and general properties of cellular networks. Examples of cellular networks.
• Network motifs : autoregulation, feed-forward loop. ... Examples of networks motifs and of their cellular function. Robustness of biological circuits.
• Dynamics of simple regulatory networks (bistability, oscillations). Stochasticity and noise in biological networks

Compétences visées

Objectives in terms of acquired skills:

• The objective of this course is make connections between high-throughput experimental analysis of biological systems, and the integration of the these data in
• The course presents the basic knowledge that allows to understand the emergence of complex cellular behaviour.

MCC

Les épreuves indiquées respectent et appliquent le règlement de votre formation, disponible dans l'onglet Documents de la description de la formation.

Régime d'évaluation

CT (Contrôle terminal, mêlé de contrôle continu)

Coefficient

1.0

Évaluation initiale / Session principale - Épreuves

Seconde chance / Session de rattrapage - Épreuves