BME 5630

Last Updated

  • Schedule of Classes - October 15, 2026 7:07PM EDT

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

Course information provided by the 2026-2027 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 2026SP, 2025SP

View Enrollment Information

Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits GradeNoAud

  •  5666 BME 5630   LEC 001

  •  
    • TR
    • Jan 25 - May 11, 2027

    • Doerschuk, P

  • Instruction Mode: In Person

Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits GradeNoAud

  •  5667 BME 5630   LEC 002

    • TR
    • Jan 25 - May 11, 2027

    • Doerschuk, P

  • Instruction Mode: Distance Learning-Online

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

    Department Consent Required (Add)