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ENCH675

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Data Science and Machine Learning in Chemical Engineering

Chemical and Petroleum Engineering EN - Schulich School of Engineering

Subject

ENCH - Chemical Engineering

Description

Structure and techniques of machine learning, optimization deep learning, and reinforcement learning. Supervised and unsupervised learning. Supervised and unsupervised learning. Regression and clustering. Application to problems in chemical engineering.

Also known as: (formerly Chemical Engineering 619.89)

Course Attributes

Fee Rate Group(Domestic) - B, Fee Rate Group(International) -D, GFC Hours (3-0)

Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.

Component

LEC

Units

3

Repeat for Credit

No

Subject code

ENCH
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