EECE 433G - Data Engineering and Machine Learning

Credit Hours: 3
Lecture Contact Hours: 3 Lab Contact Hours: 0

Introduction to machine learning, deep learning, and neural networks. Special neuromorphic and special neural architecture. Fundamentals of data analytics.

Prerequisite(s): CMPS 260 and EECE 380 both with a grade of “C” or better.

MAX number of credit hours applicable to degree: 3