辅导 ACFI3426 Artificial Intelligence and Financial Applications讲解 留学生SQL语言程序

Faculty of Business and Law

Assignment Brief

Assessment Information – What you need to do

This assignment must be completed individually.

You are a quantitative analyst working for a hedge fund. You have been asked to develop an algorithmic trading strategy that uses Artificial Intelligence (AI) techniques to automate trading decisions. You are required to design a model and the associated project workflow to train, evaluate and implement the model. No coding is required at this stage. You must write a proposal that includes the following headings:

1. Problem Statement

2. Model Design

3. Project Workflow Design

4. Conclusions and Recommendations

Your proposal must be supported by the academic literature. Marks will be award for displaying appropriate reading around the subject area.

Criteria for Assessment - How you will be marked

The mark allocation is shown below:

Marks 80

Proposal

1. Introduction (5 marks)

2. Model Design (40 marks)

3. Project Workflow Design (25 marks)

4. Conclusions and Recommendations (10 marks)

The Introduction section should clearly describe the problem being addressed and the scope of the proposal document.

The Model Design section should clearly describe the purpose of the model, and provide a justification of the chosen AI model. The section should also justify the particular model specification.

The Project Workflow Design section should describe and justify any pre-processing steps, how the model will be fitted, evaluated and implemented.

The Conclusions and Recommendations section should provide a brief summary of what has been found, and provide suggestions for any areas requiring further consideration.

Referencing

Full marks are available for students correctly applying the Harvard referencing system, and displaying appropriate reading around the subject area. Marks 10

Structure, style. and overall professionalism

Full marks are available for students who produce a professional document that is well-structured and of an appropriate tone. Marks 10

Total 100

Further information on the University mark descriptors can be found here.

This assignment is designed to assess the following subject-specific learning outcomes:

• Evaluate the development of the history of Artificial Intelligence.

• Identify major problems which can be solved by Artificial intelligence. *

• Explain fundamental algorithms used in Artificial Intelligence. *

• Analyze Artificial Intelligence applications in various socioeconomics activities, with a focus on financial services.

*These learning outcomes are achieved by the Coding Exercise together with the Application Design assessment.

Assessment Details

The word count is 2,000. The word limit includes any tables, figures, quotations and citations, but excludes the references list.

There will be a penalty of a deduction of 10% of the mark for work exceeding the word limit by 10% or more.

How to Submit your Assessment

The assessment must be submitted by 12:00pm noon (GMT/BST) on 25/04/24 using the link provided on LearningZone.

• Your coursework will be given a zero mark if you do not submit a copy through Turnitin. Please take care to ensure that you have fully submitted your work.

• Please ensure that you have submitted your work using the correct file format, unreadable files will receive a mark of zero. The Faculty accepts Microsoft Office and PDF documents, unless otherwise advised by the module leader.

• All work submitted after the submission deadline without a valid and approved reason will be subject to the University regulations on late submissions.

o If an assessment is submitted 1-10 university working days late the mark for the work will be capped at the pass mark of 40 per cent for undergraduate modules or 50 per cent for postgraduate modules

o If an assessment is submitted beyond 10 university working days late the work will receive a mark of zero per cent

o The above applies to a student’s first attempt at the assessment. If work submitted as a reassessment of a previously failed assessment task is submitted later than the deadline the work will immediately be given a mark of zero per cent

o If an assessment which is marked as pass/fail rather than given a percentage mark is submitted later than the deadline, the work will immediately be marked as a fail

• The University wants you to do your best. However, we know that sometimes events happen which mean that you can’t submit your coursework by the deadline – these events should be beyond your control and not easy to predict. If this happens, you can apply for an extension to your deadline for up to 10 university working days, or if you need longer, you can apply for a deferral, which takes you to the next assessment period (for example, to the re-sit period following the main Assessment Boards). You must apply before the deadline for your assessment. You will find information about applying for extensions and deferrals here.

• Students MUST keep a copy and/or an electronic file of their assignment.

Checks will be made on your work using anti-plagiarism software and approved plagiarism checking websites.