MATH-463 / 5 credits

Teacher: Lurkin Virginie Janine Camille

Language: English

## Summary

Discrete choice models allow for the analysis and prediction of individuals' choice behavior. The objective of the course is to introduce both methodological and applied aspects, in the field of marketing, transportation, and finance.

## Learning Outcomes

By the end of the course, the student must be able to:

• Model discrete choice

## Transversal skills

• Use a work methodology appropriate to the task.
• Assess one's own level of skill acquisition, and plan their on-going learning goals.
• Use both general and domain specific IT resources and tools

## Teaching methods

Lectures:

The first half of the semester is based on the online MOOC "Introduction to discrete choice models". There is no lecture in class.

The second half of the semester is based on ex-cathedra lectures in class.

Exercices and laboratories:

They are organized every week during the semester. The students will estimate the parameters of behavioral models based on real data.

## Expected student activities

Every week, the students are supposed to

1. read the appropriate material, according to the schedule (the material for a given week is supposed to be read before the lecture of that week);
2. work on the assignments for the laboratories.

## Assessment methods

Written

Dans le cas de l’art. 3 al. 5 du Règlement de section, l’enseignant décide de la forme de l’examen qu’il communique aux étudiants concernés.

## Bibliography

Ben-Akiva and Lerman (1985) Discrete Choice Analysis, MIT Press.Train (2003) Discrete Choice Methods with Simulation, Cambridge University Press.

## In the programs

• Semester: Fall
• Exam form: Written (winter session)
• Subject examined: Mathematical modelling of behavior
• Lecture: 2 Hour(s) per week x 14 weeks
• Exercises: 2 Hour(s) per week x 14 weeks
• Semester: Fall
• Exam form: Written (winter session)
• Subject examined: Mathematical modelling of behavior
• Lecture: 2 Hour(s) per week x 14 weeks
• Exercises: 2 Hour(s) per week x 14 weeks
• Semester: Fall
• Exam form: Written (winter session)
• Subject examined: Mathematical modelling of behavior
• Lecture: 2 Hour(s) per week x 14 weeks
• Exercises: 2 Hour(s) per week x 14 weeks
• Semester: Fall
• Exam form: Written (winter session)
• Subject examined: Mathematical modelling of behavior
• Lecture: 2 Hour(s) per week x 14 weeks
• Exercises: 2 Hour(s) per week x 14 weeks
• Semester: Fall
• Exam form: Written (winter session)
• Subject examined: Mathematical modelling of behavior
• Lecture: 2 Hour(s) per week x 14 weeks
• Exercises: 2 Hour(s) per week x 14 weeks
• Semester: Fall
• Exam form: Written (winter session)
• Subject examined: Mathematical modelling of behavior
• Lecture: 2 Hour(s) per week x 14 weeks
• Exercises: 2 Hour(s) per week x 14 weeks
• Semester: Fall
• Exam form: Written (winter session)
• Subject examined: Mathematical modelling of behavior
• Lecture: 2 Hour(s) per week x 14 weeks
• Exercises: 2 Hour(s) per week x 14 weeks
• Semester: Fall
• Exam form: Written (winter session)
• Subject examined: Mathematical modelling of behavior
• Lecture: 2 Hour(s) per week x 14 weeks
• Exercises: 2 Hour(s) per week x 14 weeks
• Semester: Fall
• Exam form: Written (winter session)
• Subject examined: Mathematical modelling of behavior
• Lecture: 2 Hour(s) per week x 14 weeks
• Exercises: 2 Hour(s) per week x 14 weeks
• Semester: Fall
• Exam form: Written (winter session)
• Subject examined: Mathematical modelling of behavior
• Lecture: 2 Hour(s) per week x 14 weeks
• Exercises: 2 Hour(s) per week x 14 weeks
• Exam form: Written (winter session)
• Subject examined: Mathematical modelling of behavior
• Lecture: 2 Hour(s) per week x 14 weeks
• Exercises: 2 Hour(s) per week x 14 weeks

## Reference week

 Mo Tu We Th Fr 8-9 CE1104 9-10 10-11 CE1104CO021 11-12 12-13 13-14 14-15 15-16 16-17 17-18 18-19 19-20 20-21 21-22

Tuesday, 8h - 10h: Lecture CE1104

Tuesday, 10h - 12h: Exercise, TP CE1104
CO021