Sessional Instructor: ENDG 319 - Probability, Statistics and Machine Learning

University of Calgary
Full-time calgary, ab Management & Operations, IT & Technology
Posted:
June 01, 2026
Location:
calgary, ab, Canada

Job Description

Description

The Department of Chemical and Petroleum Engineering at the Schulich School of Engineering at the University of Calgary invites applications for a Sessional Instructor to teach ENDG 319 (Probability, Statistics and Machine Learning) in the Summer 2026 term. The course will be delivered in‑person. Course Description

Presentation and description of data, introduction to probability theory, Bayes' theorem, discrete and continuous probability distributions, estimation, sampling distributions, tests of hypotheses on means, variances and proportions; introduction to fundamental machine learning including linear regression, classification and correlation. Applications are chosen from engineering practice from all disciplines. Course Schedule

Lecture: Monday, Wednesday, Fridays 04:00 - 05:55 pm Tutorial: Tuesday, Thursdays 04:00 - 05:15 pm Qualifications

Candidates must have a graduate degree in Engineering and must have a demonstrated background...

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Job Overview

Job Type: Full-time
Location: calgary, Canada
Posted: June 01, 2026
Deadline: July 11, 2026