Latest


2024.11.18: Tutorials 5 and 6, course homework.
2024.11.06: Tutorial 4, solutions for tutorial 3.
2024.10.28: Notebook tutorial 3, resources lecture 4, updated lecture notes.
2024.10.21: Solutions for tutorials 1-2, board lecture 3.
2024.10.08: Resources from lecture 2.
2024.09.20: Resources from lecture 1.
2024.09.17: 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, 2024-2025


Aim of the course

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

Homework (Deadline: January 31, 2025)

     Assignment (in French) sPDF

Course material (in French)

     Lecture notes (updated regularly) PDF
     Board for lecture 1 PDF
     Board for lecture 2 PDF
     Notebook for lecture 2 ZIP
     Board for lecture 3 PDF
     Board for lecture 4 PDF
     Notebook for lecture 4 ZIP

Material for the tutorials (in French)

     Tutorial 1 (exercises with solutions) PDF
     Tutorial 2 (exercises with solutions) PDF
     Tutorial 3 (Python notebook with solutions) ZIP
     Tutorial 4 (exercises) PDF
     Tutorial 5 (Python notebook) ZIP
     Tutorial 6 (exercises) 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.