Course description

This course will introduce process control, focusing on the dynamic behaviour of industrial systems, with an emphasis on improved efficiency and effectiveness. Students will explore how best to achieve desired outcomes. Students will investigate opportunities provided by big data, artificial intelligence, and machine learning to improve monitoring and other systems, such as carbon capture and storage.

Course details

Hours: 42
Credits: 3
Prerequisites: None
Corequisites: None

Build courses into a credential

This course is part of the following program(s):


Credit transfer

Have you taken this course or an equivalent course? Contact the Credit Transfer Office.

Registration dates

Not all courses are offered each term.

Spring 2025 registration is now open.
Fall 2025 registration opens July 21, 2025.

Delivery options

In person: classes held in person on a campus/site in a classroom/lab/shop/studio for the course duration

Online - Asynchronous: ​100% online delivery, no scheduled day or time course requirements with the instructor, assigned due dates

Online - Synchronous: 100% online delivery, scheduled day and time course requirements with the instructor, assigned due dates

Hybrid: any combination of in person, timetabled, on campus, online, and hyflex delivery

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