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# Mathematical modeling of behavior

The first part of the course is online. The students are learning the theory by themselves, using the online course. Two sessions of questions and answers are schedule to consolidate the learning. The second part of the course, covering more advanced material, consists of traditional ex-cathedra lectures. Exercices and laboratories are organized every week. The organization of the semester is described below.

The weeks highlighted in blue below correspond to weeks with lectures. During weeks that are not highlighted, there is no lecture. Note that exercices or laboratories are organized every week from 10:15 to 12:00. Click here for the details.

## Schedule

Note that the schedule has been modified since it was communicated in the beginning of the semester.
Date Time Topic Type of learning Online material Chapter in the textbook
Sep 18 9:15 Introduction to the course Presentation in class
Sep 18 Introduction to behavior modeling MOOC Chapter 1 (1.2)
Sep 25 Theoretical foundations MOOC Chapter 3 - Choice theories
Oct 2 Binary choice MOOC Chapter 4 - Binary Choice
Oct 9 Choice with multiple alternatives MOOC Chapter 5 - Choice with multiple alternatives
Oct 16 9:15 Summary, discussions, examples - Questions and answers Interactive class
Oct 23 8:15 Nested logit Ex-cathedra course Chapter 7 - The nested logit model
Oct 30 8:15 Multivariate Extreme Value models Ex-cathedra course Chapter 8 - Multivariate Extreme Value models
Nov 6 8:15 Sampling Ex-cathedra course Chapter 2.3 - Statistical inference and sampling
Nov 13 Testing MOOC Chapter 6 - Specification testing
Nov 20 Forecasting Self-learning Chapter 10 - Prediction
Nov 27 9:15 Summary, discussions, examples - Questions and answers Interactive class
Dec 4 8:15 Mixtures Ex-cathedra course Train (2003), Chapter 6 - Mixed logit
Dec 11 8:15 Latent variables Ex-cathedra course Walker (2001), Chapter 3 - Integration of choice and latent variable models
Dec 18 8:15 Panel data Ex-cathedra course No reading

## Bibliography

• Ben-Akiva, Bierlaire, Walker (2012) Discrete Choice Analysis, Draft document, September, 2012. [Available here]
• Train (2009) Discrete Choice Methods with Simulation, Cambridge University Press. [Available here][or here]
• Walker (2001) Extended discrete choice models: integrated framework, flexible error structures, and latent variables, PhD thesis, Massachusetts Institute of Technology. [Available here]

• Ben-Akiva and Lerman (1985) Discrete Choice Analysis: Theory and Application to Travel Demand, MIT Press [Bookfinder]
• Ben-Akiva, M., and Bierlaire, M. (2003). Discrete choice models with applications to departure time and route choice. In Hall, R. (ed) Handbook of Transportation Science, 2nd edition pp.7-38. Kluwer. [Bookfinder]

### Contacts

Lecturer:
Teaching assistants:

### Online course

Introduction to discrete choice

Lectures:
Laboratories:

October 16
October 23
October 30
November 6
November 27
December 4
December 11
December 18

September 18
September 25
October 2
October 9
November 13
November 20