Applied Mathematics for Data Science (MESA 8412)

Education · Boston College

This course will provide students with a strong foundation in mathematical tools relevant to data science. Selected topics from calculus, vector spaces, matrix algebra, numerical optimization, and probability theory will be covered. These tools will help students understand and solve data science problems and work with emerging methods and techniques in this rapidly growing field. A refresher in calculus will provide a foundation in mathematics necessary to understand data science concepts. Topics will include matrix algebra and vector spaces, which are essential for understanding mathematical

Professors who teach this course