Introduction to optimization and operations research

Summary

Introduction to major operations research models and optimization algorithms

Content

Learning Prerequisites

Required courses

Linear algebra

Analysis

Prelimniary knowldege of Python is useful, but not required.

Teaching methods

The course combines ex-cathedra lectures (2 hours) with pen-and paper exercises (2 hours).

Assessment methods

The evaluation consists of a closed-book exam with multiple-choice questions.

Supervision

Resources

Virtual desktop infrastructure (VDI)

No

Bibliography

Bierlaire (2015) Optimization: principles and algorithms, EPFL Press <presshttps://www.epflpress.org/produit/740/9782889152797/optimization-principles-and-algorithms>

https://www.epflpress.org/produit/740/9782889152797/optimization-principles-and-algorithms <presshttps://www.epflpress.org/produit/740/9782889152797/optimization-principles-and-algorithms>

Ressources en bibliothèque

• Find the references at the Library

Moodle Link

• https://go.epfl.ch/MATH-265

Prerequisite for