Spring 2025

Introduction to the neurobehavioral and neurobiological basis of movement. Review of information processing, neural basis of perception/action, motor systems, and higher cognitive function and behavior. Recommended preparation: biology and physiology

Consideration of the neuromuscular and musculoskeletal physiology of voluntary movement.

Independent review and synthesis of papers appearing in the current literature.

Perform systematic quantitative biomechanical analyses of common movements in sport and exercise using a variety of motion analysis techniques.

Advanced analysis of systems or structures with dissection. Emphasis on correlations with function.

Research leading to the master's degree. Maximum units which may be applied to the degree to be determnined by the department. Graded CR/NC.

Studies of scientific theory in physical therapy.

A combination of observation, participation (testing/assessments, training) and analysis and interpretation of data. Supervision and guidance from the internship mentor will vary depending on the setting and credit hours. Allows students a progressively increasing amount of responsibility with respect to athlete/subject and/or data involvement.

Introduction of topics related to assessments of athlete performance on the field or in the sports setting. Focus on understanding and applying available technology to athlete field assessments. Overview of the techniques and hardware used to assess athlete performance outside of a laboratory setting.

Introduction to the physiological assessment of athlete performance. Focus on understanding, performing and interpreting physiological assessments such as metabolic testing (VO2max), hydration, oxygen saturation, body composition, lactate threshold, heart rate, core body temperature.

Examination of selected mechanisms underlying normal movement and pathological movement. Study of methods used to investigate these mechanisms. Doctoral students only.

For students in biomedical, biological and movement sciences who want to learn modern advanced statistical learning methods and to improve R programming.

Research leading to doctorate. Maximum units which may be applied to the degree to be determined by the department. Graded CR/NC.

Credit on acceptance of dissertation.

Credit on acceptance of dissertation.

Credit on acceptance of dissertation.

Credit on acceptance of dissertation.