Kinesiology & Health Studies, MSc (KHS)

This course is founded on the notion that leadership is the social application of power, meaning that leadership is not only a structural concept, but that it should be understood through acknowledging the social contexts of an individual, group, or organization. Using curren t research relating to leadership in a sport context, this course focuses on the current state of sport leadership research, leadership theory, leadership styles, current issues relating to gender and racial representations in leadership positions, and the social construction of leadership.

This course explores human behaviour in organizational settings, the relationship between human behaviour and group dynamics, and the organization itself. This course focuses on the micro (study of individuals in organizations), meso (study of work groups), and macro-levels (study of how organizations behave) of organizational studies. This course is an in-depth examination of unique areas of organizational behaviour and theory in the field of sport management.

An analysis of the research and literature related to the psychological phenomena influencing the participants in the sport and exercise contexts. Topics include specific sport/exercise intervention techniques, measurement issues and social psychological aspects of sport and exercise.

Sport managers operate within a social world. This course examines current social issues and their implications for sport managers. Issues include the impact of various institutions on sport management (e.g., sport, government, economics, media, education), as well as the relationship between sport management and various power relations in society (e.g., race, gender, class, age, and physical ability).

The course introduces students to some of the most commonly employed statistical techniques in kinesiology. The content requires a basic background of elementary statistics and mathematical principles. Through classroom discussions, hands-on computer exercises and assignments, students are expected to develop essential understanding of quantitative data analysis techniques and provide interpretations and draw conclusions based on statistical findings drawn from those analyses. (Prerequisite: Kinesiology Master’s Student)

Independent research study and/or directed reading conducted under the advisement of a graduate faculty member. Before enrolling in this course, the student with the help of the supervisor and/or co-supervisor(s) will include a rationale and assessments that ensure learning outcomes are achieved at course conclusion. This course cannot be used as a review of literature for a thesis or internship. Students should expect to commit between 6-9 hours/week in the completion of this course.

This course will examine the psychological and social psychological factors influencing sport behaviours from a group dynamics perspective. Emphasis is placed on understanding the theoretical constructs and empirical research underlying involvement in group dynamics and familiarizing the student with salient measurement issues.

This interactive graduate level course is designed to intentionally link theory and practice on topics related to exercise rehabilitation, including exercise prescription and adherence, coronary artery disease and associated risk factors, and other special populations.

This course will expose students to bioinstruments, quantitative measurement methods, and signal processing that is used to collect and process human research data. Specifically, this course has been designed for those within the area of human movement science that will measure behaviour/responses of the nervous system, skeletal and smooth muscle, and the cardiopulmonary system. The goal of this course is to: 1) prepare you for conducting research with advanced methodologies and 2) increase your understanding of the methods used in the scientific literature in the areas of biomechanics, neuroscience, ergonomics, exercise physiology, etc.

This course will focus on the application of biomechanics concepts in the study of human performance. Specific topics will reflect the interests of students and may include areas such as sports, locomotion, activities of daily living, and equipment testing and design.

This seminar-based course will focus on the application of biomechanical principles and tools to occupational activities. Special emphasis will be placed on evaluating foundational and contemporary research supporting and/or refuting the use of specific methods for assessing the physical demands and musculoskeletal injury risk associated with work. Other factors that affect worker health and performance in the workplace will also be discussed.

This seminar/lecture course will examine the learning processes involved in skill acquisition by novice and experienced learners in a variety of contexts. In lab/field settings students will carry out task analysis and acquire movement observation/analysis skills.

This seminar/lecture course will examine the perceptual, cognitive, and neurophysiological aspects of human motor control. Different theoretical and methodological approaches will be examined and applied to the understanding of functional movements in the home, workplace, and sporting environment. Changes in the control of movement in special populations will also be examined.

This seminar/lecture course will examine the acute response and chronic adaptive nature of selected physiological systems directly related to human movement. Specific topics will reflect the interests of students and may include areas such as temperature regulation and fatigue as well as current topics of interest in human movement.

This seminar/lecture course will examine fundamental concepts of the neuromuscular system as they relate to movement, exercise and sport. Special emphasis is placed on physiological adaptations of the neuromuscular system as a result of acute (exercise, fatigue, training) and chronic (age, disease) perturbations.

The intent of this course is to examine the innate physiological differences that may or may not be responsible for the sex based differences in athletic and exercise performance and health. Specific attention will be given to the role of endogenous sex hormones, their changes across the lifespan and the physiological systems relevant to exercise that they may or may not modify.

Skeletal muscle not only produces the contractile force required for locomotion, breathing, and communication but is also indispensable for its roles in metabolism and as an endocrine, autocrine and paracrine organ. Skeletal muscle is highly responsive to a spectrum of exercise training modes, but unfortunately, this sensitivity extends to pathological situations. In this course, we will examine the pathophysiology of skeletal muscle in response to disease states such as diabetes, cancer, dystrophy, as well as aging, overtraining, traumatic injury, and disrupted circadian rhythms. The efficacy of exercise intervention to rescue skeletal muscle health will also be examined

This course is designed with the underpinnings of authentic learning and interprofessional learning. The course will help students to develop critical knowledge, understanding, and awareness of concepts related to healthy aging. Students will also have opportunities to critically analyze and assess aspects related to healthy aging in their own (work-) environments. The class will learn to work together sharing experiences and perspectives to contribute to various complex problem-solving case scenarios. Furthermore, the course will be rooted by one of the 4 Grand Challenges promoted by the University of Windsor: Creating Viable, Healthy and Safe Communities. The main healthy aging topics to be discussed in this course will be: fall prevention, health and physical literacy, and age-friendly domains.

A review and appraisal of qualitative and quantitative research methods with special reference to design, data collection, analysis and generalization.

R, an open-source software for data computing and visualization, is a high in-demand computing language suitable for researchers and modern-day professionals who require support for several statistical analysis techniques, machine learning models, and data analysis and visualizations. Global companies and research institutions have adopted R as the go-to software for data science. In this course you will learn the R language and how to access, use, interpret, and debug some of the 5,000 open-source packages for creating high-quality plots and charts, data wrangling, analyses, and organizing and formatting research data.

Topics developed by individual faculty members, based on new developments in a particular area of study.

See Graduate Internship Handbook.