Overview
Description
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.
Requirements
Prerequisites
EE 291ME 303CHE 245CEE 305CS 202
Original catalog text
Prerequisites
Prerequisite(s): EE 291 or ME 303 or CHE 245 or CEE 305 or CS 202
Units
Lecture3
Catalog Details
Offering
Offered: Every Fall
Terms
fall
Attributes
Standard
Learning Outcomes
- identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
- develop and conduct appropriate experimentation, analyze, and interpret data, and use engineering judgment to draw conclusions.
- acquire and apply new knowledge as needed, using appropriate learning strategies.