CIS 210 - Introduction to Machine Learning

Credit Hours: 3
Contact Hours: 3

Prerequisites/Other Requirements: CIS 110 and CIS 123

English Prerequisites: None

Math Prerequisites: Eligible for MTH 112 or Higher

Corequisites: None

Description: This introductory course is an intensive and specialized experience tailored to provide in-depth knowledge of the fundamental aspects of Machine Learning (ML). CIS 210 focuses on equipping students with an understanding of supervised, unsupervised, and reinforcement learning AI model types, discovering the mathematical foundations behind different ML models, and the implementation of classification and regression ML models using Python.

General Education Distribution Category Met: None

Department Consent: No Department Consent Required
Dual Enrollment Allowed: Yes