— Calculus for Data-Driven Applications

Prerequisites & course information

Course Description: Calculus and other mathematical methods necessary in data-driven analysis in the sciences, technology and the humanities. Multivariable calculus, differential equations, partial derivatives. Learning Activities: Lecture 3 hour(s); Laboratory 2 hour(s). Credit Limitation(s): Not open for credit to students who have completed MAT 016C or MAT 021C ; only 2 units of credit to students who have completed MAT 017C . 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 016C or MAT 021C ; only 2 units of credit to students who have completed MAT 017C . Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL); Scientific Literacy (SL).