Description
: This course focuses on the application of data mining techniques and predictive analytics to business problem-solving. It covers key algorithms and techniques for extracting meaningful insights from business data, including data preprocessing, decision trees, neural networks, k-nearest neighbors, clustering, and association rules. Students will gain hands-on experience with data mining tools and software, applying these techniques in managerial contexts such as customer relationship management, marketing, sales, credit scoring, and churn analysis.
Posting limited to:
Professeur à temps-partiel régulier / Regular Part-Time Professor
Date Posted (YYYY/MM/DD):
2026/07/14
Applications must be received BEFORE (YYYY/MM/DD):
2026/08/15
Expected Enrolment:
40
Approval date:
2026/07/14
Number of credits:
3
Work Hours:
39
Hourly Rate:
Enseignement / Teaching: $239.47 (2024-2025)
The academic year starts on September 1 and ends on August 31.
These rates do not included vacation pay nor statutory pay.
These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.
Course type:
B
Posting type:
Régulier / Regular
Language of instruction:
Anglais | English
Competence in second language:
Active
Course Schedule:
Lundi | Monday 19:00-22:00 - -
Requirements:
Technical and Analytical Skills
Desirable Additional Skills
Additional Information and/or Comments:
An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience.
APTPUO-Winter 2027-MEM5300 A (online) • Ottawa, ON, CA
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