Course Title: Advanced Performance Analysis and Prescription

Part A: Course Overview

Course Title: Advanced Performance Analysis and Prescription

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

OHTH2116

Bundoora Campus

Undergraduate

160H Medical Sciences

Face-to-Face

Sem 2 2006,
Sem 2 2007,
Sem 2 2008,
Sem 2 2009,
Sem 2 2010,
Sem 2 2011,
Sem 2 2012,
Sem 2 2013,
Sem 2 2014,
Sem 2 2016

OHTH2116

Bundoora Campus

Undergraduate

173H School of Health and Biomed

Face-to-Face

Sem 2 2017,
Sem 2 2018

Course Coordinator: Prof Stephen Bird

Course Coordinator Phone: +61 3 9925 7257

Course Coordinator Email: stephen.bird@rmit.edu.au

Course Coordinator Location: 202.04.074


Pre-requisite Courses and Assumed Knowledge and Capabilities

System Enforced Pre-requisites (Enforced by SAMS)


Course Description

In this course you will develop and advance your knowledge of human motion and performance analysis in sport and exercise. It will increase your understanding of the importance of performance analysis in sport and exercise and how you can modify your approach depending upon the clientele being investigated. You will also develop the skills to collect and analyse human motion and performance data, and how to write and present reports. Practical classes will provide hands-on opportunities to explore the broad, and yet detailed, approaches to human motion and performance analysis.


Objectives/Learning Outcomes/Capability Development

This course will provide the skills and knowledge for a range of accreditation standards required by Exercise and Sport Science Australia (ESSA).

This course contributes to the following Program Learning Outcomes for BP296 Exercise and Sport Science:

  • Apply knowledge of the underlying principles and concepts of Exercise and Sport Science.  Including the core areas of: Human Physiology, Anatomy, Functional Anatomy, Exercise Physiology, Biomechanics, Motor Learning and Control, Exercise Metabolism and Nutrition, and Psychology (PLO1).
  • Utilise core instrumentation and equipment for the monitoring and assessment of exercise clients (PLO2).
  • Review, analyse and interpret information, and independently generate conclusions (PLO3).
  • Communicate knowledge through a variety of modalities (PLO4)
  • Assess exercise clients using valid and reliable methods, and generate reports in an appropriate format (PLO5).
  • Contextualise discipline knowledge to performance sports and / or health, disease and ageing (PLO7).


On successful completion of this course you should be able to:

  1. Apply a broad and coherent knowledge of the underlying principles and concepts of Exercise and Sport Science.
  2. Safely and effectively use Exercise and Sport Science instrumentation and equipment to record and assess human motion and performance in sport and exercise.
  3. Record, extract and analyse key information about human motion and performance in sport and exercise.
  4. Communicate Exercise and Sport Science knowledge in a variety of formats (reports, abstracts, presentations).

     


Overview of Learning Activities

Learning activities in this course include class readings, lectures and laboratories in which you will learn and use current instrumentation and software used in the Exercise and Sport Science Industry.


Overview of Learning Resources

Learning resources in this course include class readings, lecture notes, laboratory equipment, analysis software, handouts and references on selected topics. 


Overview of Assessment

This course has no hurdle requirements.

Assessment will be based on both individual and collaborative performance. 

Assessment Tasks

Assessment Task 1: Performance Analysis 1

Weighting 30%

This assessment task supports CLOs 1, 2, 3 & 4

Assessment Task 2: Performance Analysis 2

Weighting 30%

This assessment task supports CLOs 1, 2, 3 & 4

Assessment Task 3: Performance Analysis 3

Weighting 20%

This assessment task supports CLOs 1, 2, 3 & 4

Assessment Task 4: Presentation

Weighting 20%

This assessment task supports CLOs 1, 2, 3 & 4