Université Paris-Saclay

Physical, sports, and artistic activities chosen by the student or language instruction.

The introductory AI course offers a playful and visual initiation to artificial intelligence - more specifically to statistical learning - through robot control.

The aim, based on practical work, is to develop intuition about learning algorithms (supervised, unsupervised, reinforcement), gradually leading to mathematical formulations.

Implementation will provide opportunities to work with neural networks, computer vision, and language processing. The necessary basics of Python programming will be introduced along the way.

This introductory data science course presents the basics of data collection, processing, analysis, and visualization (including image analysis).

It covers the fundamentals of descriptive statistics and probability theory, using Python.

Through an image analysis project, students learn to follow the complete workflow of a data project, from defining the problem to communicating results, with a strong practical component.

The SPOC Critical Thinking / Science in Society is an online course designed to raise students' awareness of the issues involved in the interactions between science and society by developing their critical thinking skills.

It consists of five sessions of engaging exercises using audio, video, and textual resources. Each session is linked to a theme covering a specific field of scientific knowledge, and to a question exploring a specific aspect of the interactions between science and society.

This course is an introduction to the principles of language interpretation. The following topics are covered:

The different phases of language interpretation: lexical, syntactic, and semantic analysis, and execution;

Regular expressions, finite automata;

Algebraic grammars, word recognition using the CYK algorithm, LL top-down parsing;

Abstract syntax trees;

Simple semantic rules for scope, typing, and evaluation.

The objective of this course is to acquire basic knowledge in biology, enabling students to understand biological issues and the nature of the data they will encounter.

The following topics are covered: Life: from the cell to the organism; Unity of the living world: replication, transcription, and translation; Genome and sequencing; Regulation of gene expression; Evolution in biology; Metabolism and its regulation.

This introductory course to R and R-Studio offers a first introduction to the R language and its working environment. Students learn to manipulate datasets, perform basic statistical analyses, and produce clear and reproducible visualizations.

The course uses datasets related to biology.

Physical, sports, and artistic activities chosen by the student, or language instruction.

The main objective of this SPOC is to help students understand the mechanisms and consequences related to global warming and biodiversity loss, as well as their connections to our lifestyles and consumption habits.

More broadly, it aims to provide a cross-disciplinary perspective for understanding global changes, particularly in relation to the United Nations' Sustainable Development Goals and the concept of planetary boundaries.

This course covers the fundamental principles of Database Management Systems (DBMS), including data modeling, integrity constraints, persistence, concurrency control, and security. It also focuses on PL/SQL programming and database integration using general-purpose languages (PHP).

This introduction to clinical and epidemiological research presents the essential methodological foundations for designing, conducting, and analyzing studies in public health and clinical settings. It covers the key principles of epidemiology, the different types of observational and interventional studies, as well as statistical methods suited to the analysis of clinical data.

Particular attention is given to scientific rigor, research ethics, and the critical interpretation of results, with a practical approach that encourages the application of concepts in various biomedical contexts.

One elective selected from: Fairness in AI; Biological Data Analysis; Theoretical Computer Science.

Physical Sports and Artistic Activities chosen by the student or language instruction.