ELEC 935: Computational Intelligence

Prereqs: MATH 208, 221, 317 and good skills using MATLAB.
Computational intelligence paradigms and their applications, including: artificial neural networks, fuzzy logic systems, swarm intelligence, evolutionary computation (e.g., genetic algorithms), machine learning (e.g., supervised learning, unsupervised learning, and reinforcement learning), neurocontrol and adaptive critic designs, and applications of computational intelligence for system identification, state estimation, time series prediction, signal processing, adaptive control, optimization, diagnostics, prognostics, etc.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom

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