Reflective Component Assessment Brief 2024/2025
Please make sure you carefully read and understand the question or task. If you have unanswered questions, please post these on the course Moodle Discussion Forum, and we’ll respond.
Assignment Information
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Course Code
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ACCFIN5246_2A
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Course Title
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Data Science and Machine Learning in Finance
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Weighting
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50%
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Question release date
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06-02-25
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Submission date:
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04-03-25
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Grades and Feedback to be released on:
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25-03-25
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Word limit
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Reflective component between, suggestions is
1200-1500.
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Action to be taken if word limit is exceeded
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No penalty
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QUESTION/ DESCRIPTION OF ACTIVITY
• The part of the project is an individual assignment. The course project includes two components, where this document provides briefing about the Reflective Component accounting for 50 % of the overall course grade.
• The Course project describes developing a number of numerical and computational quantities. The course project sheet provides specific instructions about the project development. The reflective
component requires development of the methodologies, financial interpretations and explanations of the results.
ASSESSMENT RUBRIC/ CRITERIA
Rubric 1: General Assessment Criteria.
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Number of questions in exam (total)
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2
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Number of questions to be answered
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2/2
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Weighting of questions
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10% and 40%
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Other Exam
Preparation Advice
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Reading items cited in the course project sheet
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FEEDBACK METHOD
The project shares many similar characteristics at the practical projects attempted during the classes. Feedback on submitted work is provided via Moodle. Students are welcome to attend the lecturer’s office hours to receive further feedback.