University of Delaware 3 credits ELEG
An introduction to artificial intelligence (AI) focusing on computational approaches that enable automatic decision making for solving engineering problems such as modeling, search, routing, assignment, tracking, and planning. Techniques from optimization theory, operations research, and machine learning will be framed in terms of numeric and symbolic formulations, with an emphasis on data and knowledge representation in the presence of uncertainty. The course will provide the foundation for creating autonomous agentic systems, possibly involving robotics, operating at different levels of supervision with emergent behavior from multi-agent and human interaction. Emphasis will be given to the issues of ethics, safety, and alignment. Prerequisite: ELEG 310 or MATH 350 or MATH 205 or CIEG 315 or CHEG 304 , and CISC 220 and MATH 242 .
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