APK 4720
Artificial Intelligence for Movement Sciences
Apply AI technologies to the study of movement in healthy and diseased human populations. Utilize programming and data visualization while covering classical concepts of machine learning (e.g. linear regression and classification, ensemble-based algorithm, clustering, and neural networks) and modern machine learning methods for images and video processing (e.g. convolutional neural networks and transformers).
Prerequisites & course information
Grading Scheme: Letter Grade Prerequisite: ( MAC 1147 or MAC 2311 or STA 2023 or APK 3220C or BME 3219 (or obtain instructor permission) or EEL 3872 ) and PHI 3681 . Attributes: Artificial Intelligence
Sources
- Course catalogue ↗2025-2026
- Catalogue entry ↗
Catalogue variants
- Artificial Intelligence for Movement Sciences · 3 Credits