- Cours (CM) 8h
- Cours intégrés (CI) -
- Travaux dirigés (TD) 8h
- Travaux pratiques (TP) 9h
- Travail étudiant (TE) -
Langue de l'enseignement : Anglais
Description du contenu de l'enseignement
Objectives in terms of knowledge (course content) :
- Modeling life systems: the compartment model,
- The S.I.R. model in disease spreading,
- The prey / predator model in species regulation,
- Writing and solving differential equations of order 1 (simple and coupled) applied to biology,
- Writing and solving differential equations of order 2 (simple and coupled) applied to biology,
- Basic knowledges of numerical methods applied to functions and differential equations,
- Cross knowledge with Data Sciences courses in order to numerically solve coupled differential systems
Compétences à acquérir
Objectives in terms of skills :
The student will master the modeling of simple biological systems (bacterial growth, radioactive decay, fermentor, gene regulation, component cycles, …) using differential equations. He/she will be able to solve them using analytical and/or computational approaches.
The student will master the modeling of simple biological systems (bacterial growth, radioactive decay, fermentor, gene regulation, component cycles, …) using differential equations. He/she will be able to solve them using analytical and/or computational approaches.
Bibliographie, lectures recommandées
Bibliography course supports :
- Mathématiques pour les Sciences de la Vie et de la Nature, JP. Betrandias, EDP Sciences
- Analyse, concepts et contextes : fonctions à plusieurs variables, Stewart, Ed. De Boeck Université
Contact
Responsable
Yves Nominé