Fundamentals of Agentic Systems
Lecture
Main Campus
Course Description
Introduction to agentic systems: AI-enabled systems that plan, use tools, coordinate with people and other agents, and operate within economic and organizational settings. Combines game-theoretic foundations of multi-agent systems with practical methods for building agentic workflows, improving and aligning agent behavior, and evaluating performance. Applications include enterprise workflows, research tasks, commerce, and human-agent collaboration. Students complete a substantial project designing, building, and analyzing an agentic workflow. Prerequisite: some prior familiarity with computer programming.
MS&E 103
Units: 3
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Typically Offered
Not Available
Grading Basis
Letter or Credit/No Credit
Class Level
Undergraduate
Instructional Mode
In Person
Gen Ed Requirement(s)
None
