Academic Calendar 2022-2023

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CISC 351 Advanced Data Analytics

CISC 351  Advanced Data Analytics  Units: 3.00  

Design and implementation of complex analytics techniques; predictive algorithms at scale; deep learning; clustering at scale; advanced matrix decompositions, analytics in the Web, collaborative filtering; social network analysis; applications in specialized domains.
LEARNING HOURS 120 (36I;36Lb;84P)

Requirements: Prerequisite A minimum grade of a C- (obtained in any term) or a 'Pass' (obtained in Winter 2020) in CISC 251 and a minimum grade of a C- (obtained in any term) or a 'Pass' (obtained in Winter 2020) in (3 units in STAT or 3 units from STAT_Options). Exclusion CISC 371; CISC 372.  
Offering Faculty: Faculty of Arts and Science