Note from June 29, 2020
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
3 credits
30.0 h
Q1
Teacher(s)
Draye Xavier (coordinator); Lobet Guillaume;
Language
French
Prerequisites
Mathematics, informatics, biology, physiology and genetics (typ. masters BIRA et BBMC).
Main themes
- Introduction to systems biology
- Introduction to notions of dynamic and compartmentalized networks
- Mathematical formalisms and software tools for the exploration of omics data
- Initiation to modelling (practicals)
- Introduction to notions of dynamic and compartmentalized networks
- Mathematical formalisms and software tools for the exploration of omics data
- Initiation to modelling (practicals)
Aims
At the end of this learning unit, the student is able to : | |
| 1 |
a. Contribution of this activity to the program learning outcomes M1.1, M1.2, M2.2, M2.3, M3.1, M3.6, M4.4, M6.1, M6.3, M6.4 b. Learning outcome specifics for this activity At the end of the course, the student is able to : · approach the functioning of an organism in a systems framework and at multiple scales ; · explain the specifics of systems biology · recognise and understand a systems biology methodology · explore the litterature with professional databases (e.g. Scopus), contact and discuss with researchers in the field · present a subject in a synthetic and pedagocis way to the student room |
The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
Content
Introduction to systems biology and biological systems modeling. The models considered are plant structure-function models (FSPM) and crop growth models (CGM).
Teaching methods
The course takes the form of project-based learning. Students observe plants in the field, quantitatively describe their architecture taking into account information found in the literature and formalize their growth and development based on a mathematical model of the FSPM type provided to them at the beginning of the course.
Evaluation methods
The student is evaluated in groups on the basis of the quality and rigour of the project they present at the end of the course.
Other information
This course can be given in English.
Online resources
FSPM executable and source code.
Faculty or entity
AGRO
