Location:

Main Campus

Session:

2026 Winter Semester | Trimestre d'hiver

Faculty:

École de gestion Telfer / Telfer School of Management

Unit:

Telfer School of Management_PT

Course Title:

Business Data Mining

Course Code:

ADM3308

Section:

M

Course Description:

Introduction to the data mining process, data mining tasks including classification, clustering and association rules, as well as data mining modeling techniques such as decision trees, neural networks, and regression analysis. Introduction to the management of Big Data and Big Data Analytics. Examples in various managerial applications including Customer Relationship Management, marketing, sales, credit scoring, churn, and survival analysis.

Posting limited to:

Professeur à temps-partiel régulier / Regular Part-Time Professor

Date Posted:

July 07, 2025

Applications must be received BEFORE:

August 09, 2025

Expected Enrolment:

60

Approval date:

July 07, 2025

Number of credits:

3

Work Hours:

39

Course type:

C

Posting type:

Régulier / Regular

Language of instruction:

Anglais | English

Competence in second language:

Passive

Course Schedule:

Mardi | Tuesday 17:30-19:00 Jeudi | Thursday 17:30-19:00 -

Requirements:

Must have an MBA or Master's Degree (PhD preferred) in an area directly related to the course and demonstrate recent relevant experience in the area of the course. Must also have teaching experience, preferably in the area of Business Data Mining.

Teaching mode:

Please note that the teaching method will be delivered in person. Teaching method might incur changes due to health measures or other reasons.

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. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law.

The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit to find out more.

The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact vra.affairesprofessorales@uottawa.ca to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

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