 |
SDA802S - Sport Data Analysis - 1st Opp - Nov 2025 |
|
|
1 Page 1 |
▲back to top |
n Am I BI A u n IVER s I TY
OF SCIEnCE Ano TECHnOLOGY
FACULTY OF COMMERCE, HUMAN SCIENCES AND EDUCATION
DEPARTMENT OF MARKETING, LOGISITICS AND SPORT MANAGEMENT
QUALIFICATION: HONOURS IN SPORT MANAGEMENT
QUALIFICATION CODE: 08BSPH
LEVEL: 8
COURSE CODE: SDA802S
COURSE NAME: SPORT DATA ANALYTICS
SESSION: NOVEMBER 2025
DURATION: 3 HOURS
PAPER:
MARKS:
THEORY
100
FIRST OPPORTUNITY EXAMINATION PAPER
EXAMINER(S) PROF. MAXWELL CHUFAMA (FT/ PT/ DI)
MODERATOR: MS. T'NEIL YOUNG
INSTRUCTIONS
1. Answer QUESTION ONE from Section A and ANY OTHER TWO QUESTIONS from Section B.
2. Marks for each question are indicated at the end of each question
3. Read all the questions carefully before answering.
4. Write clearly and neatly.
5. Number the answers clearly.
THIS EXAMINATION PAPER CONSISTS OF 2 PAGES (Including this front page)
I
|
|
2 Page 2 |
▲back to top |
SECTION A
Question 1 (50 marks)
"There are a number of physical, tactical, technical and psychological factors that underpin
individual's performance in sport"
a) Discuss the various strategies, apart from coach observations, that might be employed to
help monitor, analyse and refine the physical aspects {10 marks), tactical aspects (10 marks),
technical aspects (10 marks) and behavioural aspects {10 marks) of an individual's sporting
performance.
(40 marks)
b) What are the limitations of solely using coach observations whilst analysing sporting
performance?
{10 marks)
SECTION B
Question 2 (25 marks)
Data has become the mantra of today's business, even sport and sport-related business cannot
be spared from using data in numerous facets. With this understanding or background and using
practical examples, discuss the dimensions of Sport data analytics in this 21st century
Question 3 (25 marks)
With the aid of practical examples, explain how sport and sport-related firms are using Machine
Learning and Artificial Intelligence in Sport data analytics, in that discuss any challenges.
Question 4 (25 marks)
Technology has greatly expanded the ways in which athletes can be tracked and measured; using
practical examples, explain the body parts or aspects an athlete can be measured and how they
can be measured to aid in sport athlete training, injury prevention and performance.
END OF FIRST OPPORTUNITY EXAMINATION PAPER
2