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This course introduces core concepts of Artificial Intelligence (AI) with a focus on practical implementation in engineering technology applications. Students will explore foundational AI topics such as search algorithms and machine learning methods, and apply these techniques to solve real-world engineering problems. The course covers the structure and function of artificial neural networks, including deep and convolutional neural networks, with emphasis on applications in image processing, system monitoring, and fault detection. Students will also gain hands-on experience with fuzzy logic systems and their use in control and decision-making processes. Additionally, the course introduces genetic algorithms and their biologically inspired mechanisms for solving optimization problems in engineering contexts.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: EET 208 [Min Grade: D] and EET 209 [Min Grade: D]