Uncertainty, Risk, Decision 1
Randomness and uncertainty exist in our daily lives, as well as in every scientific investigation. Our intuition is often wrong when assessing uncertain situations, leading us to make wrong decisions. The goal of this honors thesis seminar and the projects is to better understand randomness and uncertainty and develop tools to make better decisions under uncertain situations, either by humans or AI. In the first semester, the instructor will cover fundamental and relevant concepts from probability, decision theory, psychology, and machine learning.