ECEN3023
Intelligent Methods for Electrical and Computer Engineering

Course Description

This is an introductory course in machine learning and computational intelligence tailored for ECE students. It covers topics from statistical learning including linear regression and classification, clustering, Bayesian learning, to more recent techniques such as evolutionary computing, support vector machines, convolutional neural network and deep learning, with special attention to hardware aspects and ECE applications. The course aims to offer students a set of modern intelligent solutions as well as the basic ideas and intuition behind, with more emphasis on hands-on experience through practical examples such as intelligent hardware system implementation and case studies with MATLAB and Python.


Prerequisite

Back to Course List