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Sports Analytics
Class
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Eugenio Clavijo
Applies data analysis techniques to analyse components of the sports industry
Level 4, Year 2
Credits: 10 ECTS
Module leader: Eugenio Clavijo
Google meet link for classes: https://meet.jit.si/SportsAnalytics
Office hour: Wednesday 16:00
Live tutorial session for online students: Wednesday 16:00
Link on google meet upon request.
Assessment methods
- A1 - In-class Exercise (1) Descriptive Statistics (10%)
- Assessment Guidlines:
- Marking Grids: Marking_Grid_A1
- A2 - In-class Exercise (2) Probability (10%)
- Assessment Guidlines:
- Marking Grids: Marking_Grid_A2
- A3 - In-class Exercise (3) Distributions and hypothesis testing (10%)
- Assessment Guidlines:
- Marking Grids: Marking_Grid_A3
- A4 - Final Project (70%)
- Assessment Guidlines:
- Marking Grids: Marking_Grid_A4
Learning Outcome
At the end of the module you will be able to:
LO1. Explore the application and importance of Statistics in multidisciplinary areas (Summative Assessment 1, 2, 3 & 4)
LO2. Demonstrate basic understanding of the main concepts in statistics. (Summative Assessment 1, 2, 3 & 4)
LO3. Demonstrate the ability to identify the appropriate statistical test given different research questions and designs. (Summative Assessment 3 & 4)
For more detail, please download the attached MSG: MSG_2021-22_BA_MIUC_Sport_Analytics.pdf
Students will need to use this cover page as the first page of their coursework submission: 2021_2022_Assignment_Final_Cover_Sheet_MIUC.docx
Here is the class outline:
Join the class online1 section
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Week 1 - Introduction to Statistics2 sections
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Week 2 - Basic elements in research, populations, and sampling4 sections
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Week 3 - Measures of Central Tendency and measures of Variability3 sections
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Week 4 - Frequency Distribution – Summarising Data4 sections
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Week 5 - Graphical representation of data3 sections
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Week 6 - Foundations of probabilities – Part I4 sections
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Week 7 - Combinatorial statistics5 sections
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Week 8 - Foundations of probabilities – Part II6 sections
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Week 9 - The Normal Distribution5 sections
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Week 10 - Mean hypothesis testing7 sections
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Week 11 - Analysis of variance: basic11 sections
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Week 12 - More advanced statistical tests6 sections
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Week 13 - Linear bivariate Correlations4 sections
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Week 14 - Writing reports in statistics6 sections
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