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CISC 271 Linear Data Analysis Units: 3.00
Elements of linear algebra for data analysis, including: solution of linear equations; vector spaces; matrix decompositions; principal components analysis; linear regression; hyperplane classification of vectorial data.
Learning Hours: 120 (36 Lecture, 84 Private Study)
Requirements: Prerequisite Level 2 or above and a minimum grade of C- (obtained in any term) or a 'Pass' (obtained in Winter 2020) in {[CISC 101/3.0 or CISC 110/3.0 or CISC 151/3.0 or CISC 121/3.0] and [MATH 110/6.0 or MATH 111/6.0* or MATH 112/3.0] and [MATH 120/6.0 or MATH 121/6.0 or (MATH 123/3.0 and MATH 124/3.0) or MATH 126/6.0]}.
Exclusion MATH 272/3.0.
Offering Faculty: Faculty of Arts and Science