Human-Machine Interaction Models and Stochastic Optimization

This course covers human-machine interaction models and stochastic optimization, focusing on topics such as expected utility problems, risk preference models, mean variance optimization, and communication schedules. The teaching method involves a presentation by the instructor, including problem descriptions and background knowledge. The intended audience for this course includes individuals interested in the intersection of human behavior, machine learning, and optimization techniques.