School of Data Intelligence and Technology
Graduate

Term: Fall 2026
Session: 2nd 8 Week On-ground (Oct 26 - Dec 18)
Start Date: Monday, Oct 26, 2026
End Date: Friday, Dec 18, 2026
Availability: On Campus
Day(s): Tues.
Time: 06:00 PM to 10:00 PM

This course will cover the theory and practical application of machine learning algorithms. Students in this course will study supervised and unsupervised learning algorithms. Students will apply machine learning algorithms to datasets to uncover patterns using R and Python. Topics covered include random forest support vector machines deep neural networks interpretable machine learning. 3 Credits