SPCO332-19S2 (D) Semester Two 2019 (Distance)

Applied Performance Analysis

15 points

Details:
Start Date: Monday, 15 July 2019
End Date: Sunday, 10 November 2019
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Friday, 26 July 2019
  • Without academic penalty (including no fee refund): Friday, 27 September 2019

Description

This course further develops the practical and theoretical skills of performance analysis learned in previous related courses. Students will learn about psychological and physiological aspects of performance analysis. Modelling of performance and performance forecasting techniques will be introduced and critically analysed. Interpreting big data will be discussed as well as profiling individuals and teams over the duration of a season and beyond. Best practices from New Zealand and international teams will be critically discussed along with the latest research.

Learning Outcomes

After completing this course, successful students will be able to:
1.  Use and critically evaluate the effectiveness of in-house performance analysis tools operated by major sporting codes including advanced SportsCode Pro tools (output windows, advanced scripting and live coding etc.);
2.  Comprehend and implement the process around how to critically research literature on advanced applied performance analysis topics, including carrying out real-world analysis over a series of matches and presenting practical findings in a poster format;
3.  Critically self-reflect on performance analysis methods used in games and over the durationof a season in the course including engagement with real-world regional, national and global sport performance analysis contexts;
4.  Effectively communicate and present tactical, effectiveness and decision-making analysis of a team or individual using a series of matches in interactive and innovative ways;
5.  Calculate probabilities and understand reliability and dynamic systems;
6.  Understand emerging technological advancements and how they can be implemented in performance analysis;
7.  Examine psychological factors that affect performance and how to use them effectively with performance analysis processes.

Pre-requisites

Timetable Note

Topics/Weekly Plan (or over two weeks) – subject to change
1. Introduction & SportsCode
2. Research in Performance Analysis
3. Individual Athlete Analysis
4. Advanced SpportsCode, Code Window/Output Window
5. Reliability and Dynamic Systems
6. Analytics/Big Data
7. Probability, Virtual/Augmented Reality
8. Psychological Considerations
9. Multiple-Game Presentations, Live Coding
10. Best Practices, iCoda, Advanced SportsCode
11. In-Class Presentations

Course Coordinator / Lecturer

Piet Van Hasselt

Assessment

Assessment Due Date Percentage 
Weekly workshop reports 10%
Poster 20 Aug 2019 45%
Assignment and Presentation 23 Oct 2019 45%

Textbooks / Resources

Recommended Reading

Hughes, M., & Franks, I. M. (2008). The essentials of performance analysis: An introduction. Milton Park, Abingdon, Oxon; New York : Routledge.

O'Donoghue, P. (2015). An introduction to performance analysis of sport. Abingdon, Oxon; New York : Routledge.

Passos, P., Araújo, D., & Volossovitch, A. (2017). Performance analysis in team sports. Abingdon, Oxon;New York, NY;: Routledge.

Journal

International Journal of Sport Performance Analysis

Additional Course Outline Information

Academic integrity

All forms of cheating and dishonest practice are taken seriously and penalties will result. Students should refer to General Course and Examination Regulation J: Dishonest Practice and Breach of Instructions.

Assessment and grading system

Grading Scale
Grade    GPA Value        Marks
A+              9            90 – 100
A                8            85 – 89.99
A-               7            80 – 84.99
B+              6            75 – 79.99
B                5            70 – 74.99
B-               4            65 – 69.99
C+              3            60 – 64.99
C                2            55 – 59.99
C-               1            50 – 54.99
D                0            40 – 49.99
E               -1             0 – 39.99

A pass is 50 marks and over.

Attendance

Due to the carefully planned learning progressions within courses and the workshop type nature of most on-campus classes, all on-campus students are expected to attend all sessions. Distance students should watch recorded sessions, and interact with other material provided by their lecturer shortly after it is made available through LEARN or other methods. This will ensure that you do not miss vital information which will allow you to make sense of the course content. If you are going to miss on-campus classes you are expected to email the course lecturer, catch up on missed work through classmates, view recordings, readings and other supplementary material provided.  In special cases, the course lecturer may provide additional support for you.

Evaluation

Students will be asked to complete course evaluations, and will have the opportunity to provide feedback during their courses. Surveys are conducted electronically and are confidential. The College of Education, Health and Human Development will conduct regular graduate surveys.

Grade moderation

All course assessments in the Bachelor of Sport Coaching are internally moderated.  A sample of your work may be used as part of this moderation process. Regular examiners meetings monitor the distribution of final grades in courses and adjustments are made if necessary to ensure reasonable consistency and comparability of course grades.

Late submission of work

An assessment is late if it is handed in after the due date, without a formal extension.  If an assessment is submitted after the due date, 5% will be deducted from the final grade for every day the assessment is late.  No assessments will be accepted after a period of 3 days after the due date, unless an extension has been granted.

Notes

The Award regulations for the Bachelor of Sport Coaching can be found within the UC Calendar.  The UC calendar is available online at:
http://www.canterbury.ac.nz/publications/calendar.shtml
The specific Award regulations for the degree can be found at: http://www.canterbury.ac.nz/regulations/award/bspc_regs.shtml
The College of Education Health and Human Development assessment guidelines, which contain specific information regarding the College grading scale, late work, extensions, submission of work, reconsideration of grades, Special Consideration procedures, academic integrity, and moderation of assessment can be found at:
http://www.education.canterbury.ac.nz/documents/brochures_2016/Assessment-Guidelines-for-Students.pdf
The specific assessment details for each course, including assessment dates, can be found on the Courses, Subjects and Qualifications website: http://www.canterbury.ac.nz/courses

Other specific requirements

All written assessment tasks and presentations must be referenced according to APA convention. (Information relating to APA referencing can be obtained from both the Central and Education Libraries.) Most assignments must be submitted online. Online submission requires students to formally acknowledge that what they are submitting is their own work. Hardcopy submissions must be accompanied by a completed cover sheet (available from the course lecturer).

Requests for extensions

Students who cannot complete assessments by the due date should discuss their situation with the course lecturer. Where circumstances are known in advance, the student should discuss these with the course lecturer at least one week days prior to the assessment due date. In circumstances where this is not appropriate, the student should discuss their situation with the course lecturer as soon as possible.

Resubmissions

To pass this course you are required to gain an overall average grade of C- (50%) or better across all assessments. No resubmissions are available for this course.

Special Consideration

Students wishing to apply for Special Consideration should refer to this link for further information: http://www.canterbury.ac.nz/exams/special-consideration.shtml

Partial Exemption from Assessment

If you are wishing to apply for partial exemption from assessment in a course (e.g. if you are repeating a course and you have have previously passed one or more assessments from within the course, and do not wish to write this assessment again) you may apply for this using the form: Application for Partial Exemption from Assessment

Where to submit and collect work

Electronic Submission via LEARN (all on campus and distance students)
All students must submit their assessment via the online assessment system in the Learn (Moodle) class site, on or before the due date.  All submitted assessment work will be screened by the software Turnitin, to check for plagiarism.  There is opportunity for students to submit a draft report to monitor levels of plagiarism prior to the final submission for marking.

It is the responsibility of the students to check their Internet access and ability to submit their work via the online system.  Any technical difficulties should be notified well in advance of the due date so that assistance can be provided or alternative arrangements can be negotiated. For ICT help call our free call number 0508 UC IT HELP (0508 824 843) or on 03 369 5000.Monday to  Friday, 8am to 5pm (excluding public and university holidays).

Hard Copy Submission for On-Campus Students
Where your course lecturer requires a hardcopy submission, on campus students’ assignments are to be submitted with a cover sheet to the Sport & Physical Education office, (behind the Rec Centre) by 5.00pm, or by the time directed by the course lecturer, on or before the due date. Please use the drop box placed at the entrance to School office. Distance students will receive specific instructions from their course lecturer. Marked assignments will be returned directly from the lecturer.

Indicative Fees

Domestic fee $883.00

International fee $4,000.00

* Fees include New Zealand GST and do not include any programme level discount or additional course related expenses.

Minimum enrolments

This course will not be offered if fewer than 10 people apply to enrol.

For further information see School of Health Sciences.

All SPCO332 Occurrences

  • SPCO332-19S2 (C) Semester Two 2019
  • SPCO332-19S2 (D) Semester Two 2019 (Distance)