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

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

Readings

• 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]

Additional references

• 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]