DSCI 6601 - Introduction to Applied Mathematics for Computing

Prerequisite: calculus. Fundamentals and application of mathematical tools needed for graduate study in data science. Key concepts from calculus, probability, statistics, and linear algebra are reviewed with an emphasis on application to real problems using software. This course is intended for students with computer science or non-technical backgrounds or who have otherwise taken mathematics courses but not courses requiring application to problem solving. This course does not count toward the 30-credit minimum for the M.S. in Data Science program.
3 credits.