CISC 372 Advanced Data Analytics
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)
Computing, Mathematics and Analytics – Specialization (Computing) – Bachelor of Computing (Honours)
...477 . ii. Data Analysis: CISC 271 ; CISC 371 ; CISC 372 ; CISC 473 ; STAT 361 ; STAT...
Computing, Mathematics and Analytics – Specialization (Computing) – Bachelor of Computing (Honours)
...477 . ii. Data Analysis: CISC 271 ; CISC 371 ; CISC 372 ; CISC 473 ; STAT 361 ; STAT...
Concurrent Education Degree Requirements
https://www.queensu.ca/academic-calendar/education/concurrent-education-program/degree-requirements/
...3.0, CISC 102 /3.0, CISC 203...272 /3.0, ARTH 372 /3.0, BIOL...