Training structure
Faculty of Science
List of courses
Mathematics S4 (Joffre)
2 creditsGeneral Culture S4 (Joffre)
1 creditsCPES Computer Science S4
2 creditsPhysiology of major functions CPES
2 creditsAdvanced CPES Mathematics S4
2 creditsIntroduction to evolution
2 creditsBiology S4 (Joffre)
6 creditsIT S4 (Joffre)
2 creditsEnglish CPES S4
1 creditsMetabolic biochemistry
Genetics 1
Microbiology 2
CPES Sc vie S4 project
2 credits
Mathematics S4 (Joffre)
Study level
BAC +2
ECTS
2 credits
Training structure
Faculty of Science
Second year mathematics program, part taught at Lycée Joffre :
# Reminders of linear algebra and complements of Euclidean geometry
# Advanced probability
# Analysis of functions of one variable
# Functions of several variables
General Culture S4 (Joffre)
Study level
BAC +2
ECTS
1 credits
Training structure
Faculty of Science
General culture (epistemology and philosophy):
# history of ideas
# Epistemology of science and digital technology
#argumentatition and communication
CPES Computer Science S4
Study level
BAC +2
ECTS
2 credits
Training structure
Faculty of Science
Introduction to the use of data mining methods:
# Motivations, areas of application
# Data mining tasks (classification, estimation, prediction, etc.)
# Processing on the data (pre/post-processing)
# Supervised learning (Bayes method, k nearest neighbors, neural networks, etc.)
# Unsupervised learning (k-means)
# Evaluation of methods
# Data mining software (R, Scikit, Weka, etc.)
Physiology of major functions CPES
ECTS
2 credits
Training structure
Faculty of Science
The Physiology of major functions course in semester 4 of the CPES is designed to complement the course devoted to the study of the role and interactions of the various systems of the organism that contribute to keeping the internal environment constant. This course is taught through practical work and tutorials.
Advanced CPES Mathematics S4
Study level
BAC +2
ECTS
2 credits
Training structure
Faculty of Science
This course continues the training of students in applied mathematics, in particular the use of statistical tools:
# Notions of populations and random samples.
# Estimators.
#Erreur mean square and bias-variance decomposition.
# Empirical estimators of mean and variance. Construction of estimators by the method of moments. Maximum plausibility.
Interval estimation.
# Hypothesis tests: null hypothesis, alternative hypothesis. Errors of the first and second kinds. Power of a test. Test Statistic, Rejection Region. Examples of classic tests.
Introduction to evolution
ECTS
2 credits
Training structure
Faculty of Science
The aim of this course is to understand evolutionary processes on both micro- and macro-evolutionary scales.
Using examples, manipulations and accessible modeling, the aim of the lessons is to present, in a concrete and quantitative way, the effects of the 4 evolutionary forces operating on the scale of individuals and populations (mutation, migration, selection and drift). The integration of these micro-evolutionary processes on larger time scales (e.g. differentiation between lineages, speciation) will then be addressed. Finally, the course will include an introduction to the tools of phylogeny (tree reading and construction), making it possible to study macro-evolutionary events (diversification, extinction) and trace changes in character states, notably by integrating fossil data.
Biology S4 (Joffre)
Study level
BAC +2
ECTS
6 credits
Training structure
Faculty of Science
- Physiology of major functions: anatomy and functions of the cardiovascular, respiratory, renal and digestive systems.
- Cell and molecular biology 3: cytoskeleton function, cell adhesion, protein trafficking and study methods, cell cycle regulation, immunoprecipitation, fluorescence videomicroscopy, RNA interference, overexpression, regulation of gene expression: transcriptional regulation (repressor, activator) and attenuation in prokaryotes, mechanisms of expression regulation in eukaryotes.
IT S4 (Joffre)
Study level
BAC +2
ECTS
2 credits
Training structure
Faculty of Science
The 2nd year computer science course taught at the Lycée is focused on advanced concepts in algorithmics and programming:
# Tree data structures: binary trees, heaps, ABRs, priority queues
# Sort by heap, lower bound on sorting
# Graph structure: representations (adjacency matrices, edge lists, neighbor lists)
# Basic algorithms (connectedness, depth and width paths, topological sorting)
# Distance calculation (Dijkstra, heap implementation)
# Introduction to object programming (encapsulation, late binding, classes, methods, etc.)
# Programming in Python
English CPES S4
Study level
BAC +2
ECTS
1 credits
Training structure
Faculty of Science
This modern language teaching is focused on the written and oral practice of English, with a particular emphasis on oral expression.
Metabolic biochemistry
Study level
BAC +2
Training structure
Faculty of Science
This compulsory UE will enable students to deepen their skills acquired in "S3 biochemistry". It will enable them to understand cellular metabolism through:
-understanding bioenergetics to study the processes by which living cells transport, transmit, use, accumulate and release energy;
-studying the catabolism and anabolism of carbohydrates, lipids, nucleotides and amino acids, and the metabolic interactions between these pathways.
- description of metabolic pathologies.
Genetics 1
Study level
BAC +2
Training structure
Faculty of Science
In this introductory course to genetic analysis, the objectives are to learn about the terms, principles, concepts and methods used in formal genetics, as well as their fields of application, particularly in human and medical genetics. The course covers the genetics of transmission (Mendelian or non-Mendelian), quantitative genetics and notions of population genetics. Throughout the course, close links are established between classical genetics and molecular genetics.
Microbiology 2
Study level
BAC +2
Training structure
Faculty of Science
The aim of this course is to broaden previously acquired knowledge in various areas of microbiology, in particular microbial ecology.
She will focus on pathogenic relationships, but will also present examples of symbiotic associations. Applications of microorganisms in biotechnology will be discussed. It will describe the mode of action of antibiotics and associated resistance phenomena, as well as their impact.
This course will introduce the notion of viral ecology, presenting the place and role of viruses in ecosystems. The case of bacteriophages will be dealt with more specifically, and the mechanisms of bacterial resistance to phagic infection will be detailed. The different types of viral infection in animals will be presented (acute and persistent infections) and illustrated by studying the pathogenesis of selected viral infections.
Our knowledge of microorganisms will be extended by the study of Archaea and a model eukaryotic organism, yeast.
Practical work will focus on carrying out an antibiogram and its interpretation, and on bacteriophage titration.
CPES Sc vie S4 project
Study level
BAC +2
ECTS
2 credits
Training structure
Faculty of Science
This course, similar in spirit to the first-year project, is an introduction to the research approach, more advanced than in the first year: it includes immersion in a research laboratory, a bibliographical study, and the realization of a project involving the study of a biological context, the acquisition of experimental or observational data, and the implementation of a modeling and/or digital simulation approach.