Discrete Choice analysis Predicting Individual Behavior and Market Demand

Sunday, March 24 - Thursday, March 28, 2019

Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

Lecturers

Tuition fees

A special discount of 15% is offered this year. In order to benefit from the discount, the full payment must be received before December 31, 2018. Online payment with credit cards are recommended.

Discounted registration: regular 4338 CHF[Click here for the conversion in Euro]
Discounted registration: with scholarship 2213 CHF[Click here for the conversion in Euro]
Early registration: regular 5103 CHF[Click here for the conversion in Euro]
Early registration: with scholarship 2603 CHF[Click here for the conversion in Euro]
Late registration: regular 6331 CHF[Click here for the conversion in Euro]
Late registration: with scholarship 3831 CHF[Click here for the conversion in Euro]

In addition to the participation to the lectures and the laboratories, the tuition includes

  • the book "Discrete Choice Analysis" by Moshe Ben-Akiva and Steven R. Lerman, MIT Press
  • a workbook with detailed descriptions of various case studies,
  • a memory stick with
    • the handouts of the lectures,
    • the software BIOGEME used for model estimation,
    • the data sets used during the laboratories,
  • sandwich lunches and coffee breaks,
  • a welcome cocktail,
  • a dinner with all participants.

A certificate will be awarded at the end of the course.

Topics

  • Fundamental methodology
  • Data collection
  • Model design issues
  • Model estimation issues
  • Forecasting techniques
  • Examples and real case studies

Important dates

January 14, 2019:

February 24, 2019:

March 23, 2019:

March 24-28, 2019:
Important notice:
deadline for scholarships applications
deadline for early registration
deadline for late registration
course
the course is organized from Sunday to Thursday.

Who should attend?

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.

Contacts

Mila Bender

Transport and Mobility Laboratory (TRANSP-OR)
EPFL ENAC IIC TRANSP-OR
Station 18
CH-1015 Lausanne