All times are in Central European Time (UTC+1:00).

	Mon, Mar 07	Tue, Mar 08	Wed, Mar 09	Thu, Mar 10	Fri, Mar 11
10:15 - 10:30	Virtual coffee	Virtual coffee	Virtual coffee	Virtual coffee	Virtual coffee
10:30 - 12:00	Introduction, Choice Behavior and Discrete Choice Models, Ben-Akiva	Nested Logit Models, Bierlaire	Mixture Models, Bierlaire	Discrete Panel Data, Bierlaire	Machine Learning with Theoretical Constraints, Ben-Akiva
12:15 - 13:45	Specification and Estimation of Logit Models, Ben-Akiva	Extreme Value Models; Aggregate Forecasting and Microsimulation, Bierlaire	Simulation-Based Estimation, Bierlaire	Bayesian Estimation, Ben-Akiva	Mixtures Models with Latent Variables, Ben-Akiva
14:30 - 14-45	Activity	Activity	Activity	Activity	Activity
14:45 - 16:15	Specification Testing, Machine Learning and Regularization, Ben-Akiva	Endogeneity; Sampling and Estimation, Ben-Akiva	Stated Preferences Methods, Ben-Akiva	Online Personalization and Optimization, Ben-Akiva	Questions & Answers, Ben-Akiva/Bierlaire
16:30 - 18:00	Computer lab 1: Introduction; Logit Estimation and Testing	Computer lab 2: Nested Logit; Aggregate Forecasting	Computer lab 3: Logit Mixtures; Combining Data	Computer lab 4: Hierarchical Bayesian Estimation; Individual Prediction	Computer lab 5: Hybrid Choice Models
18:00 - 19:00				Virtual social hour

The course is provided online, using the video conferencing system Zoom. Only fully registered participants have access to the virtual classroom.

The software package Biogeme is used for the laboratories. It is a Python package that runs on Windows, Linux, and MacOS X.