Integrated Movement Analysis

Curriculum guideline

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Course
SPSC 3154
Discontinued
No
Course code
SPSC 3154
Descriptive
Integrated Movement Analysis
Department
Sport Science
Faculty
Science and Technology
Credits
3.00
Start date
End term
Not Specified
PLAR
No
Semester length
15 weeks
Max class size
30
Course designation
None
Industry designation
None
Contact hours

Lecture: 3 hours/week

and

Lab: 1 hour/week

Method(s) of instruction
Lecture
Lab
Learning activities

Classroom time will be used for lectures, small and large group discussions, problem-based learning, reflections, lab-based activities and/or in-class assignments.

Course description
This course provides students with an overview of comprehensive and observational diagnostic models to evaluate human movement. Using inquiry-based approaches, this course integrates and applies principles from kinesiology sub-disciplines to movement diagnosis. Students use various data acquisition technologies to evaluate and improve human movement and performance in three different contexts: lab, field and clinic.
Course content
  • Movement diagnosis framework
    • Applications of movement diagnosis in kinesiology
    • Interdisciplinary – intradisciplinary contributions
    • Models of movement diagnosis
    • Differences between context: the lab, field and clinic
  • Sensory and perceptual contributions to movement
    • Theoretical background
    • Human movement diagnosis from both the performer and observer perspective
    • Concepts of motor control and learning related to movement diagnosis
    • Application of biomechanics concepts to movement diagnosis
  • The four tasks of movement diagnosis analysis
    • Preparation, observation, evaluation and diagnosis, and intervention. 
  • Technologies in movement diagnosis
    • Motion capture technology
    • Computer, tablet and smartphone technology with various motion analysis software or apps
    • Force acquisition, electromyography and/or accelerometer instrumentation to supplement diagnosis of motor performance
    • Emerging movement analysis technologies
    • Data collection, processing, interpretation and presentation
Learning outcomes

Upon successful completion of the course, students will be able to:

  • reflect on and apply experiential and academic knowledge from various kinesiology sub-disciplines to a movement diagnosis model;
  • apply experiential and academic knowledge to analyze human movement;
  • determine performer characteristics and analyze a variety of movement patterns from that performer;
  • evaluate and diagnose human movement performance strengths and errors;
  • prescribe and implement intervention strategies for improving human movement performance;
  • apply movement diagnosis models to lab, field and clinical settings;
  • collect, process, interpret and present data from video capture with motion analysis software, force acquisition and/or electromyography technologies.
Means of assessment

Assessment will be in accordance with the Douglas College Evaluation Policy. The instructor will present a written course outline with specific evaluation criteria at the beginning of the semester. Evaluation will be based on the following:

Term Test(s)                                                 10-25%
Movement Diagnosis Project(s)                      10-30%
Presentation(s)                                               0-20%
Labs (minimum 3)                                         20-60%
Assignments/Reflections                                  0-20%
Participation                                                   0-10%

Total         100%

Textbook materials

Consult the Douglas College Bookstore for the latest required textbooks and materials. Example textbooks and materials may include:

Knudson, D. (Current Edition) Qualitative Diagnosis of Human Movement: Improving Performance in Sport and Exercise. Human Kinetics Publishers.

Prerequisites

60 Credits, including SPSC 1151 and SPSC 1164

Corequisites

None

Equivalencies

None