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Data Mining and Analytics COMP 8575

Computer Systems Course

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Course details

​This course is focused on incorporating data mining and integrating data analytics frameworks to database systems, data warehouses and big data infrastructures. Approaches for mining correlations, associations and other data patterns are studied. Clustering, classification and regression implementations are integrated with the data systems. Database applications utilizing charts, maps and AR/VR augmented data visualization to support visual analytics are developed.

Prerequisite(s)

Credits

3.0

Not offered this term
This course is not offered this term. Please check back next term or subscribe to receive notifications of future course offerings and other opportunities to learn more about this course and related programs.

Learning Outcomes

Upon successful completion of this course, the student will be able to:

  • Apply descriptive, predictive and prescriptive analytics for business intelligence purposes.
  • Use SQL and its extensions as well as statistical functions provided natively by the underlying data warehouses and big data solutions to determine basic statistical description of data.
  • Apply data clustering and regression techniques supplied by popular off-the-shelf business intelligence solutions to conduct predictive analysis.
  • Integrate data clustering approaches such as K-Means / NN, Bayesian Classifier, Decision Tree as well as regression techniques including neural nets to the data warehouses and big data storage.
  • Implement and integrate prescriptive analytics to optimize business decisions.
  • Integrate libraries supporting plots, charts and maps with database applications to support custom visual analytics needs of business intelligence.
  • Describe data and expose any coherence, correlations and/or trends among data values through suitable visual representations for visual analytics purposes.
  • Generate 3D models and AR/VR augmented representations of data using 3D modeling tools and AR/VR platforms to evaluate efficacy of such data visualization approaches for business intelligence and decision making.

Effective as of Fall 2019

Related Programs

Data Mining and Analytics (COMP 8575) is offered as a part of the following programs:

School of Computing and Academic Studies

  1. Applied Computer Science (Database Option)
    Bachelor of Science Part-time
  2. Applied Computer Science (Human Computer Interface Option)
    Bachelor of Science Part-time
  3. Applied Computer Science (Wireless and Mobile Applications Development Option)
    Bachelor of Science Part-time

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  • Privacy Notice: The information you provide will be used to respond your request for BCIT course information and is collected under Section 26(c) of the Freedom of Information and Protection of Privacy Act (FIPPA). For more information about BCIT’s privacy practices contact: Associate Director, Privacy, Information Access & Policy Management, British Columbia Institute of Technology, 3700 Willingdon Ave. Burnaby, BC V5A 3H2, email: privacy@bcit.ca.

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