ENGRMAE 285
Engineering Design Under Uncertainty
Introduces students to statistical and ML methods used in engineering design under uncertainty. Students learn how to probabilistically formulate a design problem, translate the formulations into a computer, and systematically find the solution.
Prerequisites & course information
Introduces students to statistical and ML methods used in engineering design under uncertainty. Students learn how to probabilistically formulate a design problem, translate the formulations into a computer, and systematically find the solution.
Sources
- Course catalogue ↗2026-2027