HPSCI101-23B (TGA)

Introduction to Human Performance Science

15 Points

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The University of Waikato
Academic Divisions
Division of Health Engineering Computing & Science
Te Huataki Waiora School of Health

Staff

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Convenor(s)

Daniel Wilson

Daniel Wilson
TT.6.14
See Moodle
daniel.wilson@waikato.ac.nz

Lecturer(s)

Han Gan

Han Gan
G.3.28
See Moodle
han.gan@waikato.ac.nz

Merel Hoskens

Merel Hoskens
9583
TT.7.04
See Moodle
merel.hoskens@waikato.ac.nz

Paul Winwood

Paul Winwood
TT.6.14
See Moodle
paul.winwood@waikato.ac.nz

Administrator(s)

: annis.huang@waikato.ac.nz

Placement/WIL Coordinator(s)

Tutor(s)

Student Representative(s)

Lab Technician(s)

Librarian(s)

: anne.ferrier-watson@waikato.ac.nz

You can contact staff by:

  • Calling +64 7 838 4466 select option 1, then enter the extension.
  • Extensions starting with 4, 5, 9 or 3 can also be direct dialled:
    • For extensions starting with 4: dial +64 7 838 extension.
    • For extensions starting with 5: dial +64 7 858 extension.
    • For extensions starting with 9: dial +64 7 837 extension.
    • For extensions starting with 3: dial +64 7 2620 + the last 3 digits of the extension e.g. 3123 = +64 7 262 0123.
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What this paper is about

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Paper Description
The Strength and Conditioning component will explore principles and techniques for writing goal-orientated programmes for athletic populations. The Physiology component will include an introduction to basic human anatomy in relation to human movement and an overview of exercise physiology. The Biomechanics and Injury Prevention component will include an introduction to biomechanics, functional anatomy, and injury prevention principles. The Psychology component will include an introduction to the fundamental role of the brain in human movement and performance. The nutrition component will describe principles of nutrition and its basic application in human performance science. The Performance Monitoring and Recovery component will include principles and practices for evaluating stress and recovery needs of athletes. Data Analysis component will include an introduction to three main data analysis approaches and methods that will be applied to the information we collect in our workshops.
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How this paper will be taught

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Paper Structure

This paper includes one 90 minute lecture and one 2-hour workshop session per week, both of which are face-to-face on campus.

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Required Readings

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There are no compulsory textbooks required for completion of this paper. Required course materials will be provided via Moodle throughout the trimester.
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Learning Outcomes

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Students who successfully complete the course should be able to:

  • Apply basic biomechanical principles and concepts to human movement and injury prevention
    Linked to the following assessments:
  • Demonstrate an understanding of basic training principles in relation to periodisation
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  • Describe common methods of testing used in Health, Sport and Human Performance in both laboratory and field settings
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  • Describe fundamental research methods and statistical data analysis used in human performance science
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  • Describe principles of nutrition and its basic application in human performance science
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  • Explain the role of the brain in controlling and optimising movement and human performance
    Linked to the following assessments:
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Assessments

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How you will be assessed

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This paper contains five assessments outlined below. These include two online quizzes, one in-class test, one group assignment and one final exam.

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The internal assessment/exam ratio (as stated in the University Calendar) is 60:40. There is no final exam. The final exam makes up 40% of the overall mark.

The internal assessment/exam ratio (as stated in the University Calendar) is 60:40 or 0:0, whichever is more favourable for the student. The final exam makes up either 40% or 0% of the overall mark.

Component DescriptionDue Date TimePercentage of overall markSubmission MethodCompulsory
1. Moodle Quiz 1
2 Aug 2023
8:00 AM
10
  • Online: Submit through Moodle
2. In Class Test
16 Aug 2023
No set time
20
  • In Class: In Lecture
3. Assignment One (Group)
3 Sep 2023
11:30 PM
20
  • Online: Submit through Moodle
4. Moodle Quiz 2
4 Oct 2023
8:00 AM
10
  • Online: Submit through Moodle
5. Exam
29 Oct 2023
No set time
40
  • In Class: In Lecture
✔
Assessment Total:     100    
Failing to complete a compulsory assessment component of a paper will result in an IC grade
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