Courses

Students will examine the theories of aging and the topics and issues associated with physical activity and recreation for older adults.

A study of the clinical aspects of exercise physiology by examining the relationship between exercise and chronic disease. Cardiorespiratory, metabolic, neuromuscular, immunological, and musculoskeletal conditions are explored with respect to physiology, pathophysiology, and pharmacotherapy along with exercise testing, prescription, safety, and programming issues.

Provides an overview of various aspects of professional practice as a kinesiologist. Investigates legal issues relating to sport, physical activity, and the healthcare industry.

An in-depth study of the concept of health promotion including strategies and skill development for its application and implementation. Key areas include population health, chronic disease epidemiology, health behavior change theories, health education, health messaging and program planning

A course offered on topics of current interest in sport performance and human kinetics. Under supervision of faculty, students conduct a careful review of the literature on a topic of their choice and prepare a substantial paper. Final student papers are presented in the form of an oral presentation.

Provides a comprehensive research experience to senior undergraduate students interested in conducting independent research within the field of kinesiology under the guidance of an HKIN faculty member. Students will choose a thesis topic, select readings, perform a literature review and write a detailed thesis proposal.

Provides a comprehensive research experience to senior undergraduate students interested in conducting independent research within the field of kinesiology under the guidance of a dedicated HKIN faculty member. Students will collect, analyze, interpret, and synthesize data stemming from their HKIN 497 proposal for their senior thesis. A final written report will be presented consisting of a review of the literature, proposal (from HKIN 497), data tables and discussion.

The logic and the application of data analysis techniques suitable for the behavioural sciences. Descriptive statistics and inferential statistics, including measures of central tendency, variability, probability and sampling theory, correlation, regression, and non-parametric statistics.

Students will explore probability theory, descriptive and inferential statistics at an introductory level; applications are taken from a wide range of disciplines. Topics include descriptive analysis, scientific visualization, sets, permutations and combinations, probability, discrete and continuous distributions (e.g. binomial, normal, t), confidence intervals and hypothesis testing. Not for credit towards a major, concentration, or minor in Mathematics