Marking grid: Criteria Report Mark 0-39% 40-49% 50-59% 60-69% Issues 70+ Critique the theory of machine...
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Marking grid: Criteria Report Mark 0-39% 40-49% 50-59% 60-69% Issues 70+ Critique the theory of machine learning Apply a range of machine learning techniques to solve practical problems Critically evaluate and Interpret the results Quality of the report Mark 100 (total) Marking breakdown where appropriate 30 30 Grade descriptors In addition to the assessment criteria above the following table may assist you in understanding how we arrive at your final mark. Indeed your final mark should agree with the following grade descriptors, but note that the assessment criteria are the main means of assessment. 30 10 Learning Outcomes LO1-L04 Descriptor Unsatisfactory performance. Below satisfactory standard of achievement against the criteria. Adequate overall performance. Demonstration of ability to plan a learning contract. Strengths in some areas but weakness in others. Satisfactory performance. Clear evidence of achievement. Ability to evaluate strengths and weaknesses against given criteria. Good performance. Demonstrates ability to take responsibility for learning with support. Clear understanding of the purpose and value of learning. Excellent performance against the criteria. Evidence of independence of thought and ability to build upon experience. Insight into organisation and own learning. Ability to evaluate own personal development. Marking grid: Criteria Report Mark 0-39% 40-49% 50-59% 60-69% Issues 70+ Critique the theory of machine learning Apply a range of machine learning techniques to solve practical problems Critically evaluate and Interpret the results Quality of the report Mark 100 (total) Marking breakdown where appropriate 30 30 Grade descriptors In addition to the assessment criteria above the following table may assist you in understanding how we arrive at your final mark. Indeed your final mark should agree with the following grade descriptors, but note that the assessment criteria are the main means of assessment. 30 10 Learning Outcomes LO1-L04 Descriptor Unsatisfactory performance. Below satisfactory standard of achievement against the criteria. Adequate overall performance. Demonstration of ability to plan a learning contract. Strengths in some areas but weakness in others. Satisfactory performance. Clear evidence of achievement. Ability to evaluate strengths and weaknesses against given criteria. Good performance. Demonstrates ability to take responsibility for learning with support. Clear understanding of the purpose and value of learning. Excellent performance against the criteria. Evidence of independence of thought and ability to build upon experience. Insight into organisation and own learning. Ability to evaluate own personal development. Marking grid: Criteria Report Mark 0-39% 40-49% 50-59% 60-69% Issues 70+ Critique the theory of machine learning Apply a range of machine learning techniques to solve practical problems Critically evaluate and Interpret the results Quality of the report Mark 100 (total) Marking breakdown where appropriate 30 30 Grade descriptors In addition to the assessment criteria above the following table may assist you in understanding how we arrive at your final mark. Indeed your final mark should agree with the following grade descriptors, but note that the assessment criteria are the main means of assessment. 30 10 Learning Outcomes LO1-L04 Descriptor Unsatisfactory performance. Below satisfactory standard of achievement against the criteria. Adequate overall performance. Demonstration of ability to plan a learning contract. Strengths in some areas but weakness in others. Satisfactory performance. Clear evidence of achievement. Ability to evaluate strengths and weaknesses against given criteria. Good performance. Demonstrates ability to take responsibility for learning with support. Clear understanding of the purpose and value of learning. Excellent performance against the criteria. Evidence of independence of thought and ability to build upon experience. Insight into organisation and own learning. Ability to evaluate own personal development. Marking grid: Criteria Report Mark 0-39% 40-49% 50-59% 60-69% Issues 70+ Critique the theory of machine learning Apply a range of machine learning techniques to solve practical problems Critically evaluate and Interpret the results Quality of the report Mark 100 (total) Marking breakdown where appropriate 30 30 Grade descriptors In addition to the assessment criteria above the following table may assist you in understanding how we arrive at your final mark. Indeed your final mark should agree with the following grade descriptors, but note that the assessment criteria are the main means of assessment. 30 10 Learning Outcomes LO1-L04 Descriptor Unsatisfactory performance. Below satisfactory standard of achievement against the criteria. Adequate overall performance. Demonstration of ability to plan a learning contract. Strengths in some areas but weakness in others. Satisfactory performance. Clear evidence of achievement. Ability to evaluate strengths and weaknesses against given criteria. Good performance. Demonstrates ability to take responsibility for learning with support. Clear understanding of the purpose and value of learning. Excellent performance against the criteria. Evidence of independence of thought and ability to build upon experience. Insight into organisation and own learning. Ability to evaluate own personal development.
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You have a marking grid for a report related to machine learning The report will be evaluated based ... View the full answer
Related Book For
Introduction to Information Systems
ISBN: 978-0073376882
16th edition
Authors: George Marakas, James A. O'Brien
Posted Date:
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