Artificial Intelligence in Mechanical and Nuclear Engineering.

Catalog description

Semester course; 3 lecture hours (delivered online, face-to-face or hybrid). 3 credits. Prerequisite: EGMN 210 , CMSC 210 or CMSC 254 . Enrollment is restricted to students with senior or graduate standing or with permission of the instructor. This course focuses on data-driven computational artificial intelligence applications in mechanical and nuclear engineering. Specific areas of AI applications may include design and optimization of mechanical and thermal-fluid systems, engineering materials, autonomous vehicles, robotics, nuclear fuel cycle, fusion plasma disruptions in tokamaks, and engineering research. Knowledge of Python programming is required.