Graduate Course Descriptions

The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.

5330. Applied Machine Learning in Chemical Engineering

3.00 credits

Prerequisites: Instructor consent.

Grading Basis: Graded

This course is an applied machine learning algorithms course tailored for the chemical/process engineers. The focus of this course from is on case studies and real-world examples seen by chemical engineers. The course will include exposure to machine learning, data science & analytics, and big data in a chemical engineering context. Students are taught to identify descriptors, and predict and optimize system properties using a machine learning approach.


Last Refreshed: 01-MAR-24 05.20.24.480094 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Fall 2024 10159 Storrs Online Synchronous Beykal, Burcu 001 Reg MoWe 5:00pm‑6:15pm
0/25 No Room Required - Online 3.00 Graded