Module 1. This class focuses on the mathematical foundations of data science with a dual focus on linear algebra and probability. The linear algebra component will cover vectors, matrix, tensor, multiplication, inverse, determinant, trace, and norms (L1, L2, etc.). The probability component will cover random variables, distributions, expectation, marginal/conditional probability, independence, and correlation.

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