Posting Reason
New Position
Location
Main Campus
Academic Period
2027 Winter Semester
Faculty
École de gestion Telfer / Telfer School of Management
Academic Unit
Telfer School of Management
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 étudiant / Student Part-Time Professor
Date Posted (YYYY/MM/DD)
2026/08/24
Applications must be received BEFORE (YYYY/MM/DD):
2026/09/24
Expected Enrolment
60
Approval date
2026/08/24
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
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
This section first prioritizes PhD. candidates in an area directly related to the course and demonstrate recent relevant experience in the area of the course.
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 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 workplace. 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
[email protected] to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 - Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.
📌 ATPUO - Winter 2027M - Business Data Mining (Canada)
🏢 uOttawa
📍 Canada