MYZ 307E - Machine Learning for Electrical and Electronics Engineering

Course Objectives

Fundamentals of Machine Learning

Application to Engineering Problems

Practical Skills with ML Tools

Integration with Electrical and Electronic Systems

Critical Evaluation and Innovation

Course Description

Fundamentals of ML

This course introduces the principles and applications of Machine Learning (ML) in Electrical and Electronics Engineering. Students will explore fundamental ML concepts, algorithms, and tools, with a focus on solving engineering-specific challenges such as signal processing, control systems, power systems optimization, fault detection, and intelligent device design. Emphasis is placed on practical implementation using modern ML frameworks, integration with hardware and embedded systems, and critical evaluation of ML solutions in terms of performance, scalability, and ethical considerations.