Computational Mathematics for Machine Learning

Computational Mathematics for Machine Learning

MET CS 550 (4 credits)

Prerequisites: Basic knowledge of Python or R; or consent of instructor. - Mathematics is fundamental to data science and machine learning. In this course, you will review essential mathematical concepts and fundamental procedures illustrated by Python and/or R code and visualizations. Computational methods for data science presented through accessible, self-contained examples, intuitive explanations, and visualization will be discussed. Equal emphasis will be placed on both mathematics and computational methods that are at the heart of many algorithms for data analysis and machine learning. You will also advance your mathematical proficiency, enabling you to effectively apply your skills to data analytics and machine learning.

2026SPRGMETCS550A1, Jan 20th to Apr 30th 2026

2026SPRGMETCS550O1, Jan 13th to Mar 2nd 2026