Mélina Verger - Teaching

Teaching

Data science (LU1INMA1, TP, 36.75h): Discrete and continuous (random) variables, correlation and regression (covariance, regression line), unsupervised classification (automatic definition of a typology, k-means algorithm), numerical methods (optimization, finding the root or minimum of a function), inference (parameter estimation, maximum likelihood method), parametric supervised classification (conditional distribution, Bayes formula), non-parametric supervised classification (optimality of Bayes classifier, k-nearest neighbor algorithm)
Relational databases (LU2IN009, TP, 19.25h): Entity-association model, transformation rules to relational model, relational algebra, relational calculus, data queries with SQL, data definition and manipulation languages, integrity constraints, programming in PL/SQL, triggers
Python programming (LU1IN011, TD/TP, 56h): Variables, expressions, functions, alternatives, loops, differents types of data (lists, tables, dictionnaries, ensembles, intervals, strings), recursion, procedures, complexity, introduction to object-oriented programming
C programming (LU1IN002, TP, 66.5h): Physical interfaces, how computers work, pointers and memory management, differents types of data (structures, lists, linked lists, tables, hash tables, string), pointer and string arithmetic, recursion
Innovation management (MU5MN027, TD, 10h): Supervision of students in apprenticeships

Introductory courses on AI (6h), conseillers formation des Greta de l’académie de Paris (2024, 2025)

The Conversation press article (2024)
Panelist "ciné-débat" (2h30, 350 pers.) "L'IA, miroir de nos préjugés ?" (2024) 📸

Keynote talk (1h30) at the 2nd ed. of "AI Summer School" for high school students from Ile-de-France (2024)
Talk at the national contest Trophées NSI (2024)