ECSE 526 — Artificial Intelligence

Design principles of autonomous agents, agent architectures, machine learning, neural networks, genetic algorithms, and multi-agent collaboration. The course includes a term project that consists of designing and implementing software agents that collaborate and compete in a simulated environment.

• Rating: 1.99 out of 5 from 191 student reviews
• Difficulty: 4.70 out of 5
• Credits: 3
• Faculty: Faculty of Engineering
• Department: Electrical & Computer Engr
• Taught by: Jeremy Cooperstock
• Prerequisite: ECSE 324 or GEPR 221

Sections offered

• Section 001 (Lec), Tue Thu 11:35 am-12:55 pm — 6 seats open
• Section 002 (Lec), Tue Thu 11:35 am-12:55 pm — 12 seats open
• Section 003 (Lec), Tue Thu 11:35 am-12:55 pm — 2 seats open