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262-question exercise bank — revise with hints, or contribute a question.

Paris, FR — teaching maths @ PSL · IBSAI

Lucas
Gnecco
Heredia

I am a

Maths teacher at IBSAI · PhD in Computer Science (Dauphine–PSL)

Get in touch Latest paper
17
courses taught
262
exercises
5
publications
01

About

A short intro.

I teach mathematics in the International Bachelor of Science in AI at PSL University.

I did my PhD in Computer Science at Université Paris Dauphine – PSL, supervised by Yann Chevaleyre and Benjamin Negrevergne (LAMSADE).

My dissertation, Understanding the role of randomization in adversarially robust classification, is about using randomness to make ML models a bit more robust.

Read the thesis GitHub
position
Math teacher, IBSAI · PSL
phd
Computer Science, Dauphine–PSL
lab
LAMSADE
thesis
randomization × adversarial robustness
base
Paris, France
02

Teaching

Courses I've taught:

26—27
Machine Learning 1IBSAI-B1 · PSL — introduction to machine learning Algebra 3IBSAI-B2 · PSL — abstract algebra Algebra 2IBSAI-B1 · PSL — advanced linear algebra with applications Algebra 1IBSAI-B1 · PSL — linear algebra & applications Math in PracticeIBSAI-1 · PSL — logic & proof-writing
25—26
Machine Learning 1IBSAI-B1 · PSL — introduction to machine learning Algebra 2IBSAI-B1 · PSL — advanced linear algebra with applications Algebra 1IBSAI-B1 · PSL — linear algebra & applications Math in PracticeIBSAI-B1 · PSL — logic & proof-writing
24—25
Algorithmique et programmation 1L1 Dauphine — CM/TD/TP Python
23—24
Algorithmique et programmation 3L2 Dauphine — algorithms & complexity Fundamentals of Machine LearningL3 Dauphine — maths for ML
22—23
Fundamentals of Machine LearningL3 Dauphine — maths for ML Intro to Machine LearningM1 MIAGE — classification, clustering, evaluation
21—22
Semi-Structured DatabasesL3 Dauphine — XML, DOM, RDF, JSON Algo & Programmation 2L1 Dauphine — sorting, trees, heaps Outils en InformatiqueL1 Dauphine — Access & Excel TP
03

Research

Papers and preprints, newest first:

04

Lab tools

Small utilities for class:

T.01

Grade calculator

Tally partial marks live with hotkeys, keep a persistent record, and get mean / median / min / max plus CSV export.

e w q spaceopen → T.02

Random list shuffler

Paste a class list, shuffle it, draw podium winners, split into teams, and track who has been called — with history.

shuffleteamswinnersopen → T.03

Random picker

One click, one student. No repeats until everyone has gone. For cold-calling without the guilt.

spaceopen → T.04

Group generator

Balanced groups in one click. Remembers past groups and tries not to repeat pairs.

sizecountno repeatsopen → T.05

Exam timer

Full-screen countdown to project. Checkpoints, end bell, overtime count. Survives a refresh.

1–4hbellopen → T.06

Seating chart

Shuffle the class into the room plan. Click two seats to swap them.

shuffleswapopen → T.07

Function plotter

Plot up to 3 curves live. Drag to pan, scroll to zoom, hover to read values.

f(x)panzoomopen → T.08

Matrix calculator

Add, multiply, invert. Row-reduction shows each step — handy for live demos.

detinverserrefopen → T.09

Grade statistics

Paste a column of grades. Histogram, quartiles, pass rate, and a curve hint.

histogramquartilesopen → T.10

Exercise bank

Revision questions drawn from the course TDs. Filter by topic, reveal hints first, check the full solution after.

revisionhintsnewopen →
05

Contact

Email works best.

Say bonjour.

lucas.gneccoheredia[at]psl.eu

LinkedIn