Continuing Education

CCTB666 - Privacy for BI Solutions

Course Code

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Campus

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Course Overview

Explore the social, political and business drivers affecting privacy, and privacy design in Big Data platforms. Upon successful completion of this course you will be able to describe privacy issues in data collection and aggregation for Business Intelligence (BI).

This course lays the basis for further study and decision-making regarding issues of privacy in data collection and aggregation. Graduates of this course will be able to describe basic tenets of privacy, key terms and concepts, and discuss the evolution of privacy laws and legislation throughout the 20th century and into the 21st century. You will also be able to current trends in data collection, and describe aggregation, analysis, and intuition based on examples drawn from modern social media platforms. At the end of this course you will also be able to describe General Data Protection Regulation (GDPR), describe current and pending Canadian and Albertan legislation affecting digital privacy (PIPA, PIPEDA, FOIPP), and be able to describe examples of privacy breaches and the fallout from privacy disasters.

Upcoming Offerings

This course is part of these programs or course groups:

Business Intelligence & Data Engineering

Business Intelligence and Data Management


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Delivery Methods

  • Face to Face: Where: In-person meetings. When: Course is scheduled at a specific time for students to attend. Face-to-face instruction at all class meetings. Location may be on campus or at a worksite.
  • Blended: Where: Mixture of in-person & online components. When: Course is scheduled at a specific time for students to attend. Combination of face-to-face and online components at specific times. Some online components may be accessed online anytime.
  • Hyflex: Where: Choice to attend in-person or online meetings. When: Course is scheduled at a specific time for students to attend. For each class, students choose to attend in-person with the instructor or online at a specific time.
  • Remote Live Delivery: Where: Online with instructor. When: Course is scheduled at a specific time for students to attend. Instruction is delivered at set times online. Students do not come to campus.
  • Remote On-Demand Delivery: Where: Online anytime. When: No set class meetings. Coursework is accessed on-demand and online. While there are no set class meetings, there may be set due dates and deadlines for some activities. Students may interact with peers through virtual tools.
  • Remote Independent: Where: Online anytime. When: No set class meetings. Coursework is accessed on-demand and online, with no instructor support. While students choose when to do coursework, there may be set due dates and deadlines. 
  • Work Placement: Where: In-person meetings. When: Work is scheduled at a specific time for students to attend. Onsite work integrated learning. Location at a worksite.
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