CS 229 - Wearable AI and mHealth

3 unit(s)
Explores artificial intelligence techniques for analyzing wearable sensors and mobile health (mHealth) data. Topics include signal processing, feature extraction, machine learning, deep learning, activity recognition, physiological monitoring, and data-driven health insights for personalized, context-aware healthcare systems.

Pre/Corequisite(s): CS 156 or instructor consent. Allowed Declared Majors: MS Computer Science, MS Bioinformatics, MS Data Science.
Grading: Letter Graded

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