Spring 2025
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6810. Machine Learning Methods for Biomedical Signal Analysis
3.00 credits
Prerequisites:
Grading Basis: Graded
Acquire the basic machine learning concepts and tools that are necessary 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 machine learning projects and how to use advanced statistical tools and methods to classify data, infer predictions, and validate data-driven predictive models.
Last Refreshed: 20-DEC-24 05.20.17.275138 AM
| Enrollment Data | Section | Class Number | Notes | Instructor | Enrollment | Session | Instruction Mode |
|---|---|---|---|---|---|---|---|
| 1253 8723 1 010X | 010X | 8723 | Santaniello, Sabato | 0/10 | Reg | Online Synchronous |