Overview
In this learning programme, we will be covering the following learning outcomes:
- Investigate the problem
- Generate problem solutions
- Implement problem solution
- Evaluate the effectiveness of the solution
- Critique and use techniques for collecting, organising and representing data
- Use theoretical and experimental probability to develop models, make predictions and study problems
- Critically interrogate and use probability and statistical models in problem solving and decision making in real-world situations
- Measure, estimate, and calculate physical quantities in practical situations relevant to the adult with increasing responsibilities in life or the workplace
- Explore analyse and critique, describe and represent, interpret and justify geometrical relationships and conjectures to solve problems in two- and three-dimensional geometrical situation
What Our Students Say
Heinrich Bandat - Class of 2020
“Really enjoying my time at African Turf Academy as a first year. They have a great education system in place to open doors in the golf space for the green keeping side and great coaching if you want to become a professional golfer. Can’t wait to continue my journey at this prestigious academy.”
Ruan Britz - Class of 2019 & 2020
“During my 16 months at African Turf Academy I have learnt so much, not to mention the experience I gained. I was fortunate to work at the Omega Dubai Desert Classics, 2020. This opened new opportunities to my future. I therefore highly recommend African Turf Academy to you as they offer you not only confidence and knowledge, but also great opportunities.”
Curriculum
Chapter 1 - Define the problem
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- Use Statistics for Problem-Solving and Decision Making
- Situations or issues that can be dealt with through statistical methods
- Define the problem
- Techniques in the formulation of the problem definition
- Select data sources and databases - representativeness of the sample and validity of resolutions
- Writing an accurate problem statement
Chapter 2 - Investigate the problem
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- Investigate the problem using statistical methods
- Identify the goal or objective of the statistical inquiry
- Collect appropriate data
- Analyse and Interpret the data
- Methods for collecting, organising and analysing data
- Surveys
- Checklists
- Observation
- Frequency distribution
- Continuous and discrete variables
- Methods for analysing data
- Techniques for representing and evaluating statistics
- Using the SWOT Analysis technique to obtain and examine information
Chapter 3 - Generate and critique problem solutions
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after you enroll
- Generate problem solutions
- Generate possible solutions by using problem-solving techniques
- Identify criteria and use weighting to rank the proposed solutions
- Defining criteria of effectiveness
- Interpret results of experiments and simulations
- Common reasons for making bad decisions
- Qualitative (Text or Open Ended; Non-Numeric) Data
- Define and critique assumptions
- Make predictions, conclusions and judgements
- Potential sources and effects of bias, errors in measurement, potential uses and misuses
Chapter 4 - Represent, analyse and calculate shape and motion in 2-and 3-dimensional space in different problem-solving contexts
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- Represent, analyse and calculate shape and motion in 2-and 3-dimensional space in different problem-solving contexts
- Measure, estimate, and calculate physical quantities in practical situations relevant to the adult
- Read scales on measuring instruments
- Dealing with Imperial and Metric measurements
- Volume vs. Capacity
- Estimate, Measure and Calculate Time
- Using Ratio, Proportion and Rate
Chapter 5 - Implement solutions
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Chapter 6 - Evaluate the effectiveness of the solution
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after you enroll
Business Management LP 4 - Final Integrated Summative Assessment
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days
after you enroll