These courses are intended for the whole graduating class.
This training course aims at the following:
- To provide a common knowledge base. Emphasis is put on the mathematical tools common to all Majors and students are made aware of modelling and scientific computing.;
- To enable better personalised follow-up for students at the beginning of their studies.
- To inform students about their choice of Major.
During this period, students must take at least four courses out of the five offered. Every course consists of a three-hour lecture, and a three-hour tutorial per week.
The methods of assessment consist of several exams that account for 12 ECTS.
At the end of this six-week period, students will have to choose their Major.
Students who make a definitive decision concerning the choice of the MBIO Major before the basic courses begin, can replace one or two of the proposed basic courses by the following courses (referred to as "other speciality" ) :
- Stochastic calculus,
- Markov Process, application to population dynamics.
This choice must first be approved by the coordinators of the speciality and of the Major.
|Course title||Lecturer(s)||Course Code|
|Partial derivative equations||Fabrice Bethuel||B001|
|Functional analysis||Jean-Yves Chemin||B003|
|Numerical methods for the non stationary EDP: finite differences and finite volumes.||Bruno Després||B004|
|Approximation of functions and Sobolev spaces||Ayman Moussa||B005|
|Stochastic calculus (other speciality)||Zhan Shi||5MM48|
|Markov Process, application to population dynamics (other speciality)||Irina Kourkova||5MM32|