— Calculus for Data-Driven Applications
Calculus and other mathematical methods necessary in data driven analysis in the sciences, technology and the humanities.
Prerequisites & course information
Course Description: Calculus and other mathematical methods necessary in data driven analysis in the sciences, technology and the humanities. Learning Activities: Lecture 3 hour(s), Laboratory 2 hour(s) Credit Limitation(s): Not open for credit to students who have completed MAT 016A, MAT 016B, MAT 016C, MAT 017B , MAT 017C , MAT 021A , MAT 021B , or MAT 021C ; only 2 units of credit to students who have completed MAT 017A . Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL); Scientific Literacy (SL). Learning Activities: Lecture 3 hour(s), Laboratory 2 hour(s) Credit Limitation(s): Not open for credit to students who have completed MAT 016A, MAT 016B, MAT 016C, MAT 017B , MAT 017C , MAT 021A , MAT 021B , or MAT 021C ; only 2 units of credit to students who have completed MAT 017A . Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL); Scientific Literacy (SL).
Sources
- Course catalogue ↗2026-2027