Mathematical Foundations of Data Science

Catalog description

Covers the mathematical foundations of data science using the Python programming language. Math topics include: matrices, linear algebra, calculus, and asymptotic analysis. The course also covers advanced topics such as: probabilities, statistics, trees, graphs, recursion, and Markov chains. Prerequisite(s): CSCI 1302 >= C or DASC 1302 >= C Lecture Hours: 3 Grade Mode: Normal (A, B, C, D, F) Schedule Type (Primary): Lecture Click here for the Schedule of Classes.