CALCULUS FOR COMPUTING AND AI

Catalog description

This course covers the differential and integral calculus of elementary and multivariable functions with direct applications to AI and data science. Topics include limits, derivatives and partial derivatives, integrals, series, and their application to optimization problems (like gradient descent), probability distributions, and understanding the behavior of learning algorithms. Prerequisites: Mathematics Placement Assessment or MATH1500 or MATH1525 or MATH1600 (4 credits) fall