Computational Mathematics for Machine Learning

MET CS 550

Undergraduate 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.

FALL 2025 Schedule

Section Instructor Location Schedule Notes
A1 Pinsky CAS 324 T 6:00 pm-8:45 pm

SPRG 2026 Schedule

Section Instructor Location Schedule Notes
A1 Pinsky SOC B57 M 6:00 pm-8:45 pm

SPRG 2026 Schedule

Section Instructor Location Schedule Notes
O1 Pinsky ARR 12:00 am-12:00 am

Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.