In January, EPFL will offer an advanced course on discrete choice models, focusing on methods to predict
individual behavior and market demand.
The course will be delivered by Professors Moshe Ben-Akiva (MIT) and Michel Bierlaire (EPFL).
The announcement is available at
https://transp-or-academia.epfl.ch/dca
We offer scholarships for members of academic institutions and PhD students.
| Scholarship applications: | November 20, 2026 |
| Early registration: | January 15, 2027 |
| Late registration: | January 22, 2027 |
Accurate predictions of the demand and market shares are critical for a wide variety of businesses and public organizations. Examples of applications include: predicting demand for a new product under alternative pricing strategies; designing a business plan for a new technology; analyzing the impact of a merger on market shares; forecasting the ridership on a new metropolitan transit service; and analyzing competitive scenarios for introducing a new telecommunication service. To accomplish these tasks, discrete choice analysis provides powerful methodological tools. Based on the modeling of individual behavior, it is used to model in detail the structure of a market, and to predict the impact of various scenarios.
This one-week program undertakes an in-depth study of discrete choice models and their applications. It provides participants with the practical tools necessary for applying new discrete choice techniques. By examining actual case studies of discrete choice methods students will be familiarized with problems of data collection, model formulation, testing, and forecasting and will gain hands-on application experience by using readily available software to estimate and test discrete choice models from real databases. The course will emphasize applications of discrete choice methods to strategic and tactical marketing and to policy-related problems.
The course has been designed by Prof. Ben-Akiva who is offering it every summer at the Massachusetts Institute of Technology. It is organized in Europe by Prof. Michel Bierlaire, from the Transportation and Mobility Laboratory at EPFL.
The course is designed for professionals (from industry and public authorities) and academic researchers (professors, researchers, PhD students), interested in understanding and predicting consumer choices, demand and market share, such as marketing analysts, managers, planners, economists, engineers, operations researchers.
The course will cover the following topics:
It is assumed that participants have a basic knowledge of statistical methods, including linear regression models. No a priori knowledge of discrete choice models is needed. Basic topics are covered early in the week, while more advanced topics are covered later. An introduction to the software package BIOGEME that will be distributed at the course will be provided during the first lab, prior to working on the case studies. It may be useful to review basic statistical methods in a textbook such as
R. J. Larsen and M. L. Marx (2010) An Introduction to Mathematical Statistics and Its Applications (5th Edition), Prentice Hall (chapters 1 to 6).
An introduction to Discrete Choice Models is available as an online course on the edX platform. It is advised to review the online material before coming to the course. Although not required, it may help the participants to go deeper into the material, and increase the benefits of the participation to the course.