DASC 25904 — Multivariable Math for Data Scientists
Multivariable Mathematics for Data Scientists provides an in depth look at the multivariate calculus and linear algebra necessary for a successful understanding of modeling for data science. Students will gain an understanding of the mathematical and geometric concepts used in optimization and scientific computation using mathematical and computational techniques. At the end of the course, students will be equipped with the calculus and linear algebra skills and knowledge to be successful in courses in optimization and advanced data science methods. Pre- or Corequisite: DASC 100H3 or DASC 10003 . Corequisite: Lab component. Prerequisite: MATH 25004 , DASC 11004 , and the student must be a DTSCFR or DTSCBS major. (Typically offered: Fall)
Prerequisites: MATH 25004, DASC 11004