The course presents methods for individual discrete choice data in theory and practice. A very brief review of linear probability model and binary choice models will be provided. Students are invited to review maximum likelihood estimation theory beforehand using the links provided. The core part of the course is dedicated to multinomial/conditional logit model and the random utility theory. Examples and a laboratory class will be held during the course.