Course description

Title of the Teaching Unit

Introduction to Operational Research

Code of the Teaching Unit


Academic year

2022 - 2023


Number of credits


Number of hours







Teaching language


Teacher in charge


Objectives and contribution to the program

This introductory course in operational research aims to train students in scientific management methods in a context close to the environment of managers who must understand the problem posed and transmit the results of the application of their methods in a form understandable to non-specialists. Thus, in addition to the ability to rigorously implement the algorithms and solution methods specific to the field of study, it requires students to activate their creative skills in modeling "problem-situations" and to mobilize their ability to communicate in clear and synthetic language when interpreting the results. The mixture of theory, learning - which is
want to be cooperative - and the examples that make up the course have been designed with this in mind. Among the three traditional objectives, knowledge, know-how and interpersonal skills, the know-how objective predominates.
The general objectives thus defined will enable us to move closer to the following objectives:
- A management professional with general disciplinary knowledge and specialized knowledge in one or two areas of management
- Operational, i.e. able to act concretely, alone or in a team to develop and implement solutions in his or her field of specialization.
-Aware of the complexity and keeping a critical mind

Prerequisites and corequisites

The following "UE" are corequisite:
- Mathematics 1
- Mathematics and Statistics 1 and 2
- statistics 3 and introduction to econometrics


Part 1: Modeling
Part 2: Linear programming
Part 3: Inventory Management
Part 4: Graph Theory

Teaching methods

Type of teaching: ex cathedra plus exercise sessions.
The course alternates theoretical presentations and exercises designed to facilitate the assimilation of the notions introduced.
A series of exercises is proposed after each chapter. The home resolution of these exercises plays an important role in the assimilation of the subject matter; they allow the student to evaluate his or her degree of mastery of the subject matter taught and are the privileged instrument of preparation for the exam.

From a practical point of view, the theoretical course as well as the exercise sessions will be given in person. However, some sessions may be switched to remote learning. These modalities can be modified according to the evolution of the pandemic.

Assessment method

The exam consists of MCQs and potentially small open-ended questions that are answered numerically, closed-book.


-R. Rardin, Optimization in Operations Research, Pearson New International Edition, 2013.
-Taha, Operations Research: an Introduction, Pearson, 2011.