APTPUO- Winter -DTI

Position: APTPUO- Winter 2027 -DTI5125

Description

:

Analysis and design of various data cleaning, wrangling, blending, and visualization, statistical inference, classification, clustering, regression, and content analysis methods. Use of machine learning algorithms to extract meaningful information from data to make decisions. Formulating analytics problems for business and developing, evaluating, and maintaining machine learning models. Analyzing, generating, and communicating insights on the models. Hands-on experience with an integrated set of current data analytics, data mining, and machine learning tools.

Posting limited to:

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

Date Posted (YYYY/MM/DD):

2026/05/19

Applications must be received
BEFORE (YYYY/MM/DD):

2026/06/20

Expected Enrolment:

60

Approval date:

2026/05/19

Number of credits:

3

Work Hours:

39

Hourly Rate:

Enseignement / Teaching: $239.47 )

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:

Passive

Course

Schedule:

Jeudi | Thursday 19:00-22:00 - -

Requirements:

Expert knowledge of the course subject matter, demonstrated by relevant research publications or extensive experience, or having taught related graduate courses previously. Applicants must have a doctorate and it should be in the field related to the course subject matter, or the candidate must have worked professionally in the field after their doctorate.

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.