ET 3100 Intelligent Systems for Engineering Applications 3.0 Credits
This course introduces the fundamentals of intelligent systems with an emphasis on artificial intelligence and machine learning techniques for engineering applications. Topics include vector and matrix algebra using MATLAB, machine learning algorithms, convolutional neural networks, fuzzy logic control, and genetic algorithms. The course focuses on integrating intelligent methods into practical engineering problems through analysis, design, and implementation.
Repeat Status: Not repeatable for credit
Prerequisites: (ET 1110 [Min Grade: D] or EET 208 [Min Grade: D]) and (ET 2230 [Min Grade: D] or EET 205 [Min Grade: D])