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AMATH 645Scientific Machine Learning

Units
0.50
Level
Graduate
Faculty
Mathematics
Subject
Applied Mathematics

AMATH 645 as listed in the Spring 2026 Graduate Calendar. The main page has the current version, when it runs, and seats.

The course provides an in-depth exploration of how deep learning techniques are applied in various scientific and medical domains. The course introduces basic concepts of deep learning, explores different deep learning architectures and algorithms, and focuses on their applications in scientific and biomedical research. The integration of scientific knowledge with machine learning techniques is emphasized throughout the course. Students will gain hands-on experience by executing the acquired concepts using Python. (Held with AMATH 445. Students in AMATH 645 will be expected to meet some additional learning objectives.)

Prerequisites

None listed.

Antirequisites

  • Not completed nor concurrently enrolled in:

Leads to

No course lists it as a requisite.

Check it elsewhere for Spring 2026

Calendar versions

Graduate Calendar