Course offerings vary from year to year. They include:
This weekly seminar includes primarily student presentations of current research and student proposals for the MKin thesis. The format of the seminars varies from term to term depending on the availability of invited speakers, topics of interest to students and faculty, and the research of members of the group. All first-year students are required to take this course over their first two terms of registration. Graded on a Pass/Fail basis.
This weekly seminar includes primarily student presentations of current research. The format of the seminar varies from term to term depending on the availability of invited speakers, topics of interest to students and faculty, and the research of members of the group. Students will register for this course starting in their 4th term. Students who have not defended their theses by the end of their 4th term will re-register for this course in their 5th term. Graded on a Pass/Fail basis.
The principles used in the design of experiments and the analysis of experimental data are examined, with the emphasis on multiple regression and complex analysis of variance techniques. Strategies for decision making in planning and conducting statistical analyses are presented, including sample size, statistical power, violations of variance assumptions, error terms and related issues. Experimental designs for kinesiology and health science are discussed.
The varied epistemologies in qualitative research are introduced in this course, providing students with a broad understanding on interpretive methods. The principles of qualitative research design are discussed, and students are trained in the areas of organizing, interpreting, and presenting qualitative findings.
This course explores in detail the aims, techniques and ethics of research in kinesiology. By gaining a deep understanding of the scientific method, and its cornerstones, reliability and validity, students will gain a thorough knowledge of the methods of data collection including observational methods, survey research, true experimental designs and quasi-experimental designs.
A study of advanced instrumentation and measurement (including research methods – validity, reliability, coherence, etc.) in biomechanics, motor control and neurophysiology. The topics covered include techniques in data acquisition, reduction, and signal processing commonly employed in biophysical research measurement (force, movement, electrophysiology, and electromyography). Among other instruments, students become familiar with the use of a variety of transducers and their systems characteristics, electromyographs, the process of analog to digital conversion, documentation of motion, and quantification of stress and strain.
This course focuses on the current understanding of the ways in which epidemiologic methods (e.g., analytic designs such as cohort studies) can be utilized to enhance our understanding of the relationship between physical activity and health.
This course focuses on health (conditions, behaviours) and illness across the age continuum. The course is taught from a multidisciplinary perspective so that areas of health, kinesiology and physical education are incorporated into the content.
This course uses a multidisciplinary approach to examine the capacities of human movement and physical activity by means of knowledge contained within and between the disciplines of anatomy, physiology, motor control and biomechanics.
This course focuses on broadly understanding how movement is perceived, planned, controlled, learned and expressed by individuals of all ages, from a variety of perspectives including motor control, cognitive science, and psychology. Theoretical and applied topics are discussed in light of complex skills that involve the whole body, such as dance, high-level sport, and musical performance.
This course uses a multidisciplinary approach to examine physical activity and health from the psychological, sociological and cultural perspectives.
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