Courses

Theoretical and practical experience in designing, administering and interpreting fitness assessments along with the follow-up exercise counselling and personal training for high performance athletes and the general public. Prerequisite: HH/KINE4010 3.00 or equivalent.

The course provides an introduction to common statistical techniques for Kinesiology and Health Science, including one and two-sample inference, analysis of binary data, analysis of variance and regression models. Aspects of experimental design, statistical computing and reporting of statistical results are emphasized.

Epidemiological and analytical methods are introduced and applied to a database. This course covers basic database design, and guidelines for confidentiality and privacy. Particular attention is paid to the principals and application of multivariate statistical methods for data analysis.

Provides a basic and critical survey of qualitative research methodology. It explores various qualitative strategies of inquiry and the implications of different stages of inquiry including data collection, analysis, representation and assessment.

This course reviews fundamental concepts in motor control, and surveys the role of different cerebral cortical areas in controlling voluntary movements. Data from experimental and patient studies are used to illustrate the motor function of different brain regions.

This course will focus on molecular and cellular mechanisms underlying the structure and function of the nervous system, functional neuroanatomy, and the neurophysiology of movement. Prerequisites: undergraduate course in neuroscience or equivalent or by permission of Instructor

This course focuses on a systems approach to specialized circuits within the central nervous system that determine sensory, motor and cognitive systems. Permission of the course directors is required to enroll in the course.

Musculoskeletal modelling techniques used in biomechanics and neuroscience research will be explored and critically appraised. Students will also learn mathematical programming language to analyze biophysical data. Prerequisite: An advanced undergraduate course in biomechanics (KINE 4470 or equivalent) and KAHS 6170 3.0 (Instrumentation, Signal Processing, and Modelling in Biophysical Research) are strongly encouraged.

This course covers computer programming methods that are useful in experimental psychology. The course assumes no previous programming experience, and brings students to the point where they are able to write useful programs to advance their own research. Classes are held in a computer laboratory, and each week's class consists of a lecture followed by programming practice on assigned problems. Topics include the MATLAB programming language, data files, curve fitting, Monte Carlo simulations, statistical tests, journal-quality data plots, 2D and 3D graphics (OpenGL) and interfacing to external devices.

TBA

This course examines the theory and techniques to assess the physiological aspects of skeletal muscle function. We will cover how human and animal experimental models can be utilized in a research setting to assess muscle strength, power, and fatigue, ranging from the whole body level to the single muscle fibre level. Fluorescence techniques to assess real-time muscle metabolic function will also be covered. Pre-requisites: One of KINE 4010, KINE 4445, KINE 4455, KINE 4470, KINE 4590 or permission of instructor or equivalent.

This course is an introduction to applying data science methods on health data for research. Students will be introduced to the different types of health data (e.g. health administrative data, electronic health records, population health surveys, etc.) while developing key research skills for predictive modelling and causal inference.

The seminar provides the basics of a broad and systemic training in health psychology. The course is not only intended to be educational but also a supportive environment for students as they progress through their graduate training. To be cross-listed with KAHS 6456 1.5

The seminar provides the basics of a broad and systemic training in health psychology. The course is not only intended to be educational but also a supportive environment for students as they progress through their graduate training. To be cross-listed with KAHS 6457 1.5

Provides a detailed examination of the methods of epidemiology and public health research. Types of study designs, popular health status measures and biases encountered in epidemiological studies will be emphasized throughout the course. Specific focus will be on the different stages of designing a research project.

This course reviews theory, methods, and findings on stress and coping in relation to physical and mental health. Topics include measurement and conceptualization of stress, coping, and outcome plus the study of their inter-relations.

This course presents a critical overview of seminal and current topics, issues, and debates in the field of gerontology. Biological, psychological, and social science perspectives are taken to develop a comprehensive understanding of aging, health, and wellness. Applied approaches used to promote healthy aging are explored and discussed.

Provides knowledge-to-action skills and opportunities to tackle real-world challenges, address community needs, and have social impact(s). Examines undergraduate education through a social justice lens by centering principles of decolonization, equity, diversity, and inclusion and their implications for sport, physical activity, physical culture(s), and health (broadly defined). Explores how social inequities impact research, programs, and policies. Provides the tenets and tools of ethical, equitable and relational knowledge co-creation, trans- fer/exchange, and representation. Explores knowledge mobilization and translation efforts in health, sport, physical activity, and physical cultural practice(s). Identifies ways to mobilize knowledge that work towards social justice by taking seriously the principles of decolonization, equity, diversity, and inclusion.

Seminars include student presentations of thesis proposals and thesis research, and presentations by faculty and visiting speakers.

Seminars include student presentations of thesis proposals and thesis research, and presentations by faculty and visiting speakers.