CSCI 4520 - Machine Learning (3 Credit Hours)

Lecture Hours: 3 Lab Hours: 0
Developing advanced applications using diverse machine learning and computational intelligence algorithms for pattern recognition, classification and decision-making, including decision trees, neural networks, Bayesian learning, clustering, and kernel-based techniques. Multiple projects and a term project encompassing some or all of these concepts.

Prerequisite(s): A minimum grade of “C” in CSCI 3341 or CSCI 3232 and MATH 2130 or CSCI 2625.