EENG 4210 - Machine Learning

3 hours

Begins with a quick tour of machine learning concepts such as classification, regression analysis, clustering, supervised and unsupervised learning, and neural networks. Addresses how machine learning concepts can be applied to engineering applications. Focuses on signal processing and wireless communications applications in domains such as cognitive radios, 5G networks, and biomedical signal processing.

Prerequisite(s): EENG 3810 and EENG 3811 completed with C or better.

Course specific fees (in addition to tuition and mandatory):
Academic (AF) per hour: $52.70