代写ACCFIN5246_2A Data Science and Machine Learning in Finance 2024/2025帮做R程序

日期：2025-02-22 06:48

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

Course Code	ACCFIN5246_2A
Course Title	Data Science and Machine Learning in Finance
Weighting	50%
Question release date	06-02-25
Submission date:	04-03-25
Grades and Feedback to be released on:	25-03-25

Word limit	Reflective component between, suggestions is 1200-1500.
Action to be taken if word limit is exceeded	No penalty

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.

Number of questions in exam (total)	2
Number of questions to be answered	2/2
Weighting of questions	10% and 40%
Other Exam Preparation Advice	Reading items cited in the course project sheet

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.