MATH 2740
Mathematics of Data Science
(Lab required) This course introduces some of the mathematical tools used in Data Science. Topics include linear algebra: least squares, singular value decomposition, principal components analysis, and graph theory: centrality, social network theory, clustering. This course can only be used as an elective in an Honours, Major, or Joint Honours program in Mathematics.
Prerequisites & course information
PR/CR: A minimum grade of C is required unless otherwise indicated. Prerequisites: [( MATH 1210 (B) or MATH 1211 (B)) or (one of MATH 1220 , MATH 1300 , or MATH 1301 )] and (one of MATH 1232 , MATH 1700 , MATH 1701 , or MATH 1710 ). Attributes: Mathematics Requirement, Science
Sources
- Course catalogue ↗2026-2027