CHE 4452

Course Description

This course provides a practical introduction to data science and machine-learning for chemical engineers. These tools, not covered in the core UG ChE curriculum, have become increasingly relevant and widely used in the chemical engineering industry. Course topics include data storage and retrieval, dimensional reduction, classification, regression algorithms, resampling and regularization, and case studies in chemical engineering. Pre-requisite: (CS 1110 or CS 1111 or CS 1112 or CS 1113 or CS 1110 place-out exam) OR (APMA 2130 or MATH 3250) OR APMA 3110 OR CHE 2216 OR equivalent