BME 5630

Last Updated

  • Schedule of Classes - October 31, 2025 7:07PM EDT

BME 5630
Fundamentals of Artificial Intelligence and Machine Learning for BME Applications

Course information provided by the 2025-2026 Catalog.

The course will be devoted to understanding, implementing, and using basic Artificial Intelligence and Machine Learning (AI/ML) tools for students desiring a one-semester exposure to this subject in the context of BME applications. Both supervised and unsupervised problems will be considered. Both image and time series problems will be considered. The algorithms will be implemented for training, validation, and testing, often from open-source components, primarily in Python, NumPy, and PyTorch software. There are no prerequisites but some experience with linear algebra, probability, and Python is expected.


Last 4 Terms Offered 2025SP

View Enrollment Information

Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits GradeNoAud

  •  6036 BME 5630   LEC 001

    • MW
    • Jan 20 - May 5, 2026

    • Doerschuk, P

  • Instruction Mode: In Person

    Enrollment limited to: Biomedical Engineering (BME) Master of Engineering (MEng) students; others by permission of instructor.

    Department Consent Required (Add)

Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits GradeNoAud

  •  6037 BME 5630   LEC 002

  •  
    • MW
    • Jan 20 - May 5, 2026

    • Doerschuk, P

  • Instruction Mode: Online

    Enrollment limited to: Biomedical Engineering (BME) Linkage students.