ACCFIN5246_1A Data Science and Machine Learning in Finance 2024/2025
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Objective 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
|
Course Code |
ACCFIN5246_1A |
|
Course Title |
Data Science and Machine Learning in Finance |
|
Weighting |
35% |
|
Question release date |
06-02-25 |
|
Submission date: |
04-03-25 |
|
Grades and Feedback to be released on: |
25-03-25 |
|
Word limit |
Not applicable/Objective Test |
|
Action to be taken if word limit is exceeded |
Not applicable/Objective Test |
1. QUESTION/ DESCRIPTION OF ACTIVITY
• The course project includes two components, where this document provides briefing about the Objective Component accounting for 35% of the overall course grade.
• The Course project describes developing a number of numerical and computational quantities, which are to be entered into the Moodle quiz platform. In most cases, numbers should be entered by the students. In a few cases, there are multiple-choice questions, which options provided. In both cases, there is no negative mark for providing or selecting an incorrect answer.
• The quiz will be made available to access via Moodle and accessible on 6 Feb, and will remain open until the submission deadline of 4 March. Students are recommended to examine and complete the course project in full first and subsequently attempt to enter the values into the Moodle quiz.
• The course project sheet provides specific instructions about the format and precision of numbers to be developed and entered.
2. ASSESSMENT RUBRIC/ CRITERIA
|
Number of questions in exam (total) |
20, Quiz Format (Numerical Entries and MCQs). |
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Number of questions to be answered |
All 20/20 are required. |
|
Weighting of questions |
1/20 per question (according to the grading scale below). |
|
Other Exam Preparation Advice |
The grading follows the university’s Objective Test grading scale (This scale is explained on theFinance Common Room): • A1: 98-100%, A2: 96-97%, A3: 94-95%, A4: 92-93%, A5: 90-91% • B1: 86-89%, B2: 83-85%, B3: 80-82% • C1: 76-79%, C2: 73-75%, C3: 70-72% • D1: 67-69%, D2: 64-66%, D3: 60-63% • E1: 56-59%, E2:53-55%, E3: 50-52% • F1: 46-49%, F2:43-45%, F3: 40-42% • G1: 30-39%, G2: 20-29% • H: 0-19% |
There is no negative mark for incorrect answers.
3. FEEDBACK METHOD
The project shares many similar characteristics with the practical projects attempted during the classes.
Feedback is provided on the set questions to the overall class. Students are welcome to attend the lecturer’s office hours to receive further feedback.
2025-02-22