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AMATH 445 - Scientific Machine Learning

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.

Prerequisites

One of AMATH250, AMATH251, AMATH350, MATH211/ECE205, MATH218, MATH228

Corequisites

None

Antirequisites

None

Offerings

Winter 2026 [1261]

SectionClassEnrolledTimeDaysLocationInstructor
LEC 001817658 / 5913:00 - 14:20 T,Th
TUT 101817858 / 5913:30 - 14:20 M

UW Flow Ratings

Liked: 75.00%

75.00%

Easy: 75.00%

75.00%

Useful: 87.50 %

87.50%

AMATH 445 leads to