Academic Calendar 2021-2022

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CISC 372 Advanced Data Analytics

CISC 372  Advanced Data Analytics  Units: 3.00  

Inductive modelling of data, especially counting models; ensemble approaches to modelling; maximum likelihood and density-based approaches to clustering, visualization. Applications to non-numeric datasets such as natural language, social networks, Internet search, recommender systems. Introduction to deep learning. Ethics of data analytics.
LEARNING HOURS 120 (36L;84P)

Requirements: Prerequisite Registration in a School of Computing Plan and a minimum grade of a C- (obtained in any term) or a 'Pass' (obtained in Winter 2020) in (CISC 271 and [3.0 units in STAT or STAT_Options]).  
Offering Faculty: Faculty of Arts and Science  

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...Found ; BMED 372 Course BMED 372 Not Found...BLCK CANC; CHEM; CHIN; CISC; CLST; COCA; COGS...