Latest

2024.02.06: Homework deadline modified.
2024.01.12: Homework assignment.
2023.11.10: Board lecture 8 + solutions tutorials 5/6/7.
2023.11.09: Correction to lecture notes+board lecture 7.
2023.11.08: Last tutorial online.
2023.11.07: Updated lecture notes.
2023.11.03: Board for the sixth lecture online.
2023.11.01: Sources for tutorial 6 online.
2023.10.27: Board for the fifth lecture online.
2023.10.26: Solutions of tutorial 4+tutorial 5 online.
2023.10.20: Board for the fourth lecture online.
2023.10.18: Updated lecture notes, sources for tutorial 4, solutions for tutorial 3.
2023.10.05: Board for the third lecture online.
2023.10.04: Solutions of tutorial 2, tutorial 3 and revised lecture notes online.
2023.09.29: Board for the second lecture online.
2023.09.28: Updated lecture notes+sources for tutorial 2.
2023.09.22: Board of the first lecture online.
2023.09.15: First version of the lecture notes.
2023.09.14: Course webpage online.

Instructors

Sébastien Kerleau (Tutorials)
sebastien.kerleau@lamsade.dauphine.fr

Clément Royer (Lectures)
clement.royer@lamsade.dauphine.fr

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Optimization for Data and Decision Sciences

M2 MIAGE, Université Paris Dauphine-PSL, 2023-2024

Aim of the course

Provide modern algorithmic tools for data science and decision-making problems.

Homework (Modified deadline: February 18, 2024)

Assignment (in French) sPDF

Course material

     Lecture notes (in French, updated regularly) PDF
     Board for lecture 1 (in French) PDF
     Board for lecture 2 (in French) PDF
     Board for lecture 3 (in French) PDF
     Board for lecture 4 (in French) PDF
     Board for lecture 5 (in French) PDF
     Board for lecture 6 (in French) PDF
     Board for lecture 7 (in French) PDF
     Board for lecture 8 (in French) PDF

Material for the tutorials

     Tutorial 1 (exercises+solutions, in French) PDF
     Tutorial 2 (Python notebook+solutions, in French) ZIP
     Tutorial 3 (exercises+solutions, in French) PDF
     Tutorial 4 (Python notebook+solutions, in French) ZIP
     Tutorial 5 (exercises, in French) PDF
     Tutorial 6 (Python notebook+solutions, in French) ZIP
     Tutorial 7 (exercises/2022-2023 exam+solutions, in French) PDF

Materials on this page are available under Creative Commons CC BY-NC 4.0 license.
La version française de cette page se trouve ici.