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Undergraduate Module Descriptors 2012/13
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SP5003: Data Analysis for Sport and Exercise Scientists

Module Title Data Analysis for Sport and Exercise Scientists
Module Code SP5003
Module Tutor Chris Potter
School Sport and Exercise
CAT Points 15
Level of Study 5
Pre-requisites Before taking this module you must pass SP4005
Co-requisites None
Restrictions Cannot be counted with module SPX207.

Available only to students from the Sport and Exercise Science subject group cluster (i.e., Sport Science; Sport & Exercise Science; Sports Therapy; Strength & Conditioning; and Fitness & Physical activity).
Brief Description

The module will consider the analysis of a broad range of data types (both qualitative and quantitative) using conventional techniques regularly applied within the Sport and Exercise Sciences. Students will have the opportunity to develop data handling and analysis techniques through a hands-on approach.
Indicative Syllabus

It is intended that the following topics will be covered: Types of data; data organisation; data analysis; analysis outcome interpretation; data presentation.
Learning Outcomes

A student passing this module should be able to:

  1. Identify the appropriate data analysis technique in relation to the type of data;
  2. Conduct appropriate analysis in relation to the type of data;
  3. Explore the link between study design and data analysis;
  4. Present data according to discipline conventions
  5. Interpret data analysis outcomes in sport and exercise research literature.
Learning and Teaching Activities Scheduled Contact Hours: 30
Independent Learning Hours: 120
Assessment (For further details see the Module Guide) 001: 100% Written Exam: End of year, seen, open book: 2.00 hours
Special Assessment Requirements
Indicative Resources

The Library Catalogue contains full details of the current reading list for this module. Further details may also be found in the Module Guide.

Important

Please note the course resources in this website are archived versions from previous years.

Course resources for the current years of entry are available to staff and students on Infonet.

Prospective students should use our Courses information as a starting point.

Old Archive

Course resources prior to 2012/13 can still be found in the original Maps and Descriptors Archive.

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