Samy Mukadi, Professor, PhD, P.Eng
Contact
Assistant Lecturer, Faculty of Engineering - Chemical and Materials Engineering Dept
- lmukadi@ualberta.ca
Overview
Area of Study / Keywords
Teaching Professor Chemically Reacting Processes Computation Fluid Dynamics Mathematical Modeling Multiphase Reactors
Courses
CH E 358 - Process Data Analytics and Machine Learning
Statistical analysis of process data from chemical process plants and course laboratory experiments. Topics covered include linear and nonlinear regression, dimensionality reduction, classification, deep learning, and design of experiments. Prerequisites: CH E 351 and STAT 235. Corequisites: CH E 314 and CH E 345.
CH E 358A - Process Data Analytics and Machine Learning
Statistical analysis of process data from chemical process plants and course laboratory experiments. Topics covered include linear and nonlinear regression, dimensionality reduction, classification, deep learning, and design of experiments. Prerequisites: CH E 351 and STAT 235. Corequisites: CH E 314 and CH E 345.
CH E 358B - Process Data Analytics and Machine Learning
Statistical analysis of process data from chemical process plants and course laboratory experiments. Topics covered include linear and nonlinear regression, dimensionality reduction, classification, deep learning, and design of experiments. Prerequisites: CH E 351 and STAT 235. Corequisites: CH E 314 and CH E 345.
CME 265 - Process Analysis
Basic process principles; material and energy balances, transient processes, introduction to computer-aided balance calculations. Prerequisites: ENCMP 100, MATH 102 and CHEM 105. Corequisites: CH E 243 and MATH 209 or equivalent. Credit may not be obtained in this course if previous credit has been obtained for CH E 265.