Formerly offered as a Special Topics course.
Course Units: 1
This course provides an introduction to machine learning. Machine learning is when computers learn from patterns in previously observed data how to make useful predictions about new data. The course will cover mathematical and computational foundations of machine learning algorithms. Supervised machine learning algorithms such as neural networks will be covered, as well as applications.
Prerequisite notes: CSC 230, CSC 270, and MAT 127, each with a grade of C or higher. Non-majors may use CSC 250 in lieu of CSC 230.
Requirement for major/minor: None
Option for major/minor: Computer Science Major, Computer Science Minor