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BME 4810: Machine Learning Methods for Biomedical Signal Analysis
The objective of this course is to learn the basic machine learning concepts and tools that are required in modern biomedical engineering to model, analyze, and classify physiological time series. Specific focus is on multivariate data and time series extracted from multiple physiological sources, including (but not limited to) ECG, EEG, and EMG. Through a mix of lectures and hands-on laboratory experiences, the students will learn how to design and implement a machine learning project, how to use advanced statistical tools and methods to classify data, infer predictions, and validate data-driven predictive models.
- Credits
- 3
- Offered
- Spring 2027
- Campuses
- Storrs
- Requirements
- CSE 1010; and STAT 3025Q or STAT 3345Q or STAT 3375Q or MATH 3160; open only to Biomedical Engineering majors, others by instructor consent.
Spring 2027 sections
Taught by Sabato Santaniello.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | 5:00PM - 8:00PM / Tu | Sabato Santaniello | Storrs | BRON 124 | 6 of 10 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.
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