Decision Making: Algorithms Under Uncertainty

Catalog description

Students develop end-to-end tools for decision making under uncertainty. Key concepts include detecting uncertainty, working with little to no data, rapid adaption, and decision-making algorithms in multiple fields (robotics, fintech, economics, sociology). Course material is applied in real-world projects. This is a TEAMWORK course. Additional coursework is required for those enrolled in the graduate-level course.