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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: [(a "B" or better in MATH 1210 or MATH 1211) or (a "C" or better in one of MATH 1220, MATH 1300, or MATH 1301)] and (a "C" or better in one of MATH 1232, MATH 1690, MATH 1700, MATH 1701, or MATH 1710).
 3.0 Credit hours

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