Academic Calendar 2022-2023

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CISC 271 Linear Data Analysis

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 a C- (obtained in any term) or a 'Pass' (obtained in Winter 2020) in {[CISC 101 or CISC 110 or CISC 151 or CISC 121] and [MATH 110 or MATH 111 or MATH 112] and [MATH 120 or MATH 121 or (MATH 123 and MATH 124) or MATH 126]}. Exclusion MATH 272.  
Offering Faculty: Faculty of Arts and Science