Discrete Choice analysis Predicting Individual Behavior and Market Demand

Sunday, March 24 - Thursday, March 28, 2019

Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

Lecturers

Scholarships

If you are not a student (professor, researcher, lecturer), and would like to request a scholarship, do not use this form. Proceed directly to the registration form by clicking here, and follow the instructions to request the scholarship.

One full-tuition fellowship will be awarded to one outstanding PhD student. Applications must contain a complete resume and a motivation of the relevance of the course for the applicant's research. The full-tuition fellowship will be awarded to the best applicant. Other partial fellowships may be awarded to other outstanding applicants not ranked first.

Deadline for submitting applications: January 14, 2019. Today is October 18, 2018. There are 88 remaining days before the deadline.

Applications are submitted electronically, in a ZIP file containing:

  1. A recent resume (in PDF)
  2. A letter of motivation (in PDF)
  3. Optional: reference letters (in PDF)
The name of the ZIP file must be composed by the name and the first name of the applicant. For instance, BierlaireMichel.zip.

When it is ready, fill in the following form. You will then be proposed to upload the file.

Last Name:
First Name:
Email:
Institution:
PhD supervisor:

    

Return to the DCA webpage

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