Fall 2019 - BPK 420 D100

Selected Topics in Kinesiology I (3)

Sports Data Analytics

Class Number: 9156

Delivery Method: In Person


  • Course Times + Location:

    Tu 11:30 AM – 2:20 PM
    BLU 10921, Burnaby

  • Exam Times + Location:

    Dec 16, 2019
    3:30 PM – 6:30 PM
    AQ 5037, Burnaby

  • Prerequisites:

    To be announced in the Undergraduate Schedule of Classes and Examinations.



Selected topics in areas not currently offered as formal courses within the undergraduate course offerings in the School of Kinesiology. The topics in this course will vary from term to term, depending on faculty availability and student interest.


Interdisciplinary experiential learning course that immerses students into the working world of elite sport. Lectures will
feature leading sport practitioners who will discuss their jobs and how they use data to solve problems. The main
evaluation component is a project involving the analysis of data supplied by the lecturers.

Intended audience:
This course is open to upper-division students interested in sports analytics. Faculty of Science students will have enrolment priority.

13 weeks


3-hr weekly class meetings in various formats: including seminars, lectures, computer labs, and field trips.

Proposed schedule:
The table below lists tentative speakers and topics, which are subject to change. Readings and assignment dates remain to be determined.

Week Lecturer Role & organization Topic Readings & assignments
1 Dr. Dave Clarke Associate Professor, Biomedical Physiology and Kinesiology, SFU Course organization & overview  
  Dr. Kerry MacDonald Director of Sport Science, Medicine and Innovation, Volleyball Canada How analytics helped UBC win the USPORTS Volleyball Championships  
  Dr. Ming-Chang Tsai Lead, Biomechanics and Performance Analysis, CSIP Intro to sports analytics in Canadian elite sport; data set descriptions  
2 Dr. Dave Clarke Associate Professor, BPK, SFU Performance analysis: sport strategies and tactics; Biomechanics of sport technique  
  Ryan Brodie Lead, Data Solutions, CSIP   
3 Dr. Dave Clarke Associate Professor, BPK, SFU Longitudinal monitoring of training and performance Reading quiz
4 Liz Johnson Lead, Physiology, CSIP Risk management: recovery and fatigue Sport observation
  Dr. Doug Richards
Sports Medicine Physician and Professor, University of Toronto Risk management: injuries
5 Kurt Innes Director, Talent Development, CSIP Identifying and monitoring performance potential  
  David Hill Director, System Excellence, CSIP Communicating with coaches; data in System Excellence  
  Justin Detlor
Canadian Tire Financial Services Podium Pathway, Gold Medal Profile  
6 Dr. Matt Jensen Sport technologist Role of technology development in sport science Interdisciplinary
  Reynald Hoskinson Vice-President of Technology, Form Athletica Working in sport technology
7 Dr. Nick Clarke Co-Lead, Strength and Conditioning, CSIP; Sr.
S&C Coach, University of Victoria
Athlete physical preparation  
  Dana Agar-Newman Co-Lead, Strength and Conditioning, CSIP  
8 Dr. Dave Clarke Associate Professor, BPK, SFU Data analytics pipeline:
collection/curation, storage, management, cleaning, manipulating, analysis
Project proposal
  Dani Chu, Eli Mizelman, etc. Graduate student mentors  
9 & 10 Dr. Tim Swartz Professor, Statistics and Actuarial Sciences, SFU Statistical models for sport data  
11 Dr. Peter Chow-White? Professor, School of Communication, SFU Communication strategies  
12 TBD   TBD; may include career planning in sport, open computer lab  
13 Various CSIP Victoria field trip Student project presentations  


By the end of the course, students will be able to

  1. Model an attitude of professionalism through exposure to top-level sport professionals, including but not limited to ambition, positive outlook, enthusiasm, attention to detail, persistence, strong work ethic, eagerness to help others, and resourcefulness.
  2. Describe the disciplines within athlete integrated support teams (e.g., physiology, biomechanics, strength & conditioning, sport technologist, etc.) including their roles and responsibilities, the “culture” of their discipline, methods of problem solving, and data collected by their discipline to aid with problem solving.
  3. Conduct a comprehensive statistical analysis of data collected by sport practitioners, including data quality checking and cleaning, visualization, calculation of descriptive statistics, application of a statistical model and statistical inference, and assumption verification.
  4. Communicate the results of the data analysis in a clear manner that enables sport practitioners to use the results in decision making.
  5. Reflect on whether a career in sport is suited for them, and if so, develop a realistic plan to pursue that career.


  • Reading quiz 10%
  • Observation and question-generating activity 10%
  • Interdisciplinary teaching & learning activity 20%
  • Project proposal: description of the problem/question, brief literature review, description of the data set and its collection, proposed analysis 10%
  • Project final report: technical report, communication strategy 30%
  • Oral presentation of project results 20%


Participation in the course field trip is optional but strongly recommended.


Pre- or corequisites:
Open to upper-division Science majors with appropriate research methods and data analysis backgrounds.

Those enrolling in BPK 420 must have BPK 304 Inquiry and Measurement in BPK or equivalent.

Those enrolling in STAT 490 must have STAT 330 Introduction to Mathematical Statistics and STAT 350
Linear Models.

Those with relevant backgrounds but who lack the prerequisites may seek instructor permission to enroll.



The instructor will provide articles on foundational topics in sports analytics and discipline-specific information. The course reading quiz will be based on these readings.

Department Undergraduate Notes:

It is the responsibility of the student to keep their BPK course outlines if they plan on furthering their education.

Missed Exam:

Students who miss examinations due to exceptional circumstances (such as serious illness or compassionate reasons) are required to obtain a physician's certificate, whereby the physician states that you were unable to write your midterm or final on the set date due to a medical condition beyond your control, or other supporting documents in order to obtain consideration in the course. Such documents must be filed with the Department Chair (via the Biomedical Physiology and Kinesiology office) or Registrar within four calendar days of the date on which the examination was to have been written. Exceptional circumstances must be approved by the Undergraduate Program Committee in order for a student to receive consideration. Students must check the examination schedule when making course selections. Students are reminded that final examinations may be scheduled at any time during the examination period and that students should avoid making travel or employment arrangements for this period. In the event of a missed midterm or final examination the instructors reserve the right to give an oral examination of the material. Approximate midterm dates are provided, but may be subject to change.

BPK Grading Policy

For more information on the department's grading policy & guidelines go to:  

Registrar Notes:

SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating.  Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the University community.  Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html