Location: Main Campus Session: 2025 Fall Semester | Trimestre d'automne Faculty: Faculté de génie / Faculty of Engineering Unit: Department of Chemical and Biological Engineering_PT Course Title: Data Collection and Interpretation Course Code: CHG3337 Section: Course Description: Combinatorial analysis; probability and random variables; discrete and continuous densities and distribution functions; expectation and variance; normal (Gaussian), distributions; statistical estimation and hypothesis testing; method of least squares, correlation and regression. Basic principles and techniques for the efficient design of experiments and effective analysis of data. Topics include: the nature and analysis of process variability, comparing processes, blocking and randomization, empirical model building for quantifying relationships between process inputs and outputs, two-level factorial and fractional factorial designs for screening out inert input variables, other designs, a practical approach to experimental design. Posting limited to: Professeur à temps-partiel régulier / Regular Part-Time Professor Date Posted: May 26, 2025 Applications must be received BEFORE: June 26, 2025 Expected Enrolment: 70 Approval date: May 26, 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: Lundi | Monday 17:30- Mercredi | Wednesday 17:30- Mercredi | Wednesday 14:30- Schedule 1 - End Time: 18:50 / Schedule 2 - End Time: 18:50 / Schedule 3 - End Time: 15:50 Requirements: Doctorat in Chemical Engineering or equivalent/Specialization or teaching experience in the subject matter is required. Demonstrate experience and specialization in the subject is an asset. Additional Information and/or Comments: Day 3 is a TUT An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. 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