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

Mon, Feb 08Tue, Feb 09Wed, Feb 10Thu, Feb 11Fri, Feb 12
10:30 - 12:00Introduction, Choice Behavior and Discrete Choice Models, Ben-AkivaNested Logit Models, BierlaireMixture Models, BierlaireDiscrete Panel Data, BierlaireMachine Learning and Discrete Choice Models, Ben-Akiva
12:15 - 13:45Specification and Estimation of Logit Models, Ben-AkivaExtreme Value Models; Aggregate Forecasting and Microsimulation, BierlaireSimulation-Based Estimation, BierlaireBayesian Estimation, Ben-AkivaDiscrete Choice Models with Latent Variables, Ben-Akiva
14:30 - 14-45ActivityActivityActivityActivityActivity
14:45 - 16:15Specification Testing, Ben-AkivaStated Preferences Methods, Ben-AkivaCombining Stated and Revealed Preferences, Ben-AkivaSampling and Estimation; Endogeneity, Ben-AkivaQuestions & Answers, Ben-Akiva/Bierlaire
16:30 - 18:00Computer lab 1: Introduction; Logit Estimation and TestingComputer lab 2: Nested Logit; Aggregate ForecastingComputer lab 3: Logit Mixtures; Combining DataComputer lab 4: Hierarchical Bayesian Estimation; Individual PredictionComputer lab 5: Hybrid Choice Models (optional)
18:00 - 19:00Virtual social hour
Online course
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.