EE 427 - Applications of AI in Electrical Engineering

(3 units)

The course introduces students to core Artificial Intelligence (AI)/Machine Learning (ML) concepts, including neural networks, deep learning, reinforcement learning, and fuzzy logic, etc, as applied to electrical engineering in power, control, signal processing, and so on.

Maximum units a student may earn: 3

Prerequisite(s): EE 291 or ME 303 or CHE 245 or CEE 305 or CS 202

Grading Basis: Graded
Units of Lecture: 3
Offered: Every Fall

Student Learning Outcomes
Upon completion of this course, students will be able to:
1. identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
2. develop and conduct appropriate experimentation, analyze, and interpret data, and use engineering judgment to draw conclusions.
3. acquire and apply new knowledge as needed, using appropriate learning strategies.

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