AI-Powered Neuromusculoskeletal Data Analysis. 3 credits, 3 contact hours

Catalog description

This course explores the applications of artificial intelligence (AI) in neuromusculoskeletal data analysis, with a focus on human movement science. Students will learn how to apply AI techniques to analyze motoneuronal signals and musculoskeletal images. This course will also cover explainable AI (XAI) to interpret AI-based decision-making. Through a combination of lectures, hands-on activities, and student presentations and projects, this course aims to equip students with the knowledge and skills necessary for AI-powered neuromusculoskeletal data analysis in real-world applications.