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)
- 60% in COMP 8071
Credits
3.0
Cost
$790.22
Course offerings
Spring/Summer 2023
Below is one offering of COMP 8575 for the Spring/Summer 2023 term.
CRN 68119
Duration
Thu Apr 13 - Thu Jun 29 (12 weeks)
- 12 weeks
- CRN 68119
- $790.22
Class meeting times
| Dates | Days | Times | Locations |
|---|---|---|---|
| Apr 13 - Jun 29 | Thu | 18:30 - 22:15 | Downtown DTC Rm. 678 |
Instructor
TBD
Course outline
Course outline TBD — see Learning Outcomes in the interim.
Cost
$790.22
Important information
- Departmental approval needed
-
Please email cstbtech@bcit.ca for Departmental approval. Include your Student number (A0#) and COMP__ and preferred CRN __ . CST BTech courses are also open to non-bachelor program students, if approval is granted by the BTech Program Head.
Status
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
- Computer Systems (Database Option)
Bachelor of Technology Part-time
- Computer Systems (Human Computer Interface Option)
Bachelor of Technology Part-time
Contact Us
If you have a question or comment about this course, please complete and submit the form below.
Subscribe
Interested in being notified about future offerings of Data Mining and Analytics (COMP 8575)? If so, fill out the information below and we'll notify you by email when courses for each new term are displayed here.
Programs and courses are subject to change without notice.