程序代写代做 data mining Henley Business School Pre-Experience PG Assessment Brief

Henley Business School Pre-Experience PG Assessment Brief
Module Code and Title
INMR77 Business Intelligence and Data Mining
Module Convenor
Dr Yin Leng Tan
☐ Essay
☒ Report
☐ Project
☐ Practical Skills Exercise
Other: Click or tap here to enter text.
☐ In-Class Test ☐ Group Report
Type of Assessment
☐ Group Presentation ☐ Portfolio
Weighting of Assessment
100% of the overall module assessment
Submission Deadline
Full-time students : Friday 26 May 2020 @2pm Part-time students : Friday 15 June 2020 @2pm
Submission Point (Blackboard/Turnitin/Other)
Online submission only, no hard copy required. Coursework must be submitted to Turnitin via Blackboard.
Items to be Submitted
A written coursework assignment (20 pages of A4 with a variation of
20%) and supporting files using the SAS Enterprise Miner.
☒ Individual ☐ Group
Individual or Group Assessment
Module Convenor Office Hours/Opportunities for Advice and Feedback
A tutorial session will take place on week 11 via webiner
A webiner Q & A session will be arranged at the beginning of May (Date tbc on BB in due course)
1. What is the Purpose of This Assessment?
The following table shows which of the module learning outcomes are being assessed in this assignment. Use this table to help you see the connection between this assessment and your learning on the module.
Module Learning Outcomes Being Assessed
1. Demonstrate an understanding of the concepts of business intelligence and data mining and its relevant theory and techniques;
2. Develop theoretical and practical skills to address different data types for creation of business intelligence in context;
5. Being aware of current research issues in data mining;
6. Acquire hands-on experience in using conventional data mining software, and evaluate its
strength and limitations;
3. Demonstrate an understanding of how and when data mining can be used as a problem-solving technique in business context;
4. design data model and use relevant techniques for data analysis;

2. What is the Task for This Assessment?
Task (attach a separate briefing document if required)
See attached coursework specification.
3. What is Required of Me in this Assessment?
• Read the cursework specification and follow the instruction carefully, include all required elements;
• Exercise your critical thinking, critical analysis and critical writing skills.
• You should justify the approaches taken for your data modelling.
• Referecing style – Harvard (author, year), useful resource:
http://libguides.reading.ac.uk/citing-references
Guidelines/Details of How
to Prepare Your Submission
The Assessment Criteria to be Used for Marking This Piece of Work
Refer to the marking criteria rubric at the end of the coursework specification.
Self-Regulation: Make sure That You…
Make sure you understand the various data mining concepts and techniques, and be able to use SAS Enterprise Miner for the various data mining tasks, and be able to intepret results obtained and provide suggestion for performance improvement.
Three Key Pieces of Advice Based on the Feedback Given to the Previous Cohort who Completed This Assignment
Read the couserwork carefully and understand what are required; Start the work earlier and don’t leave it to the last minute.
There is no right or wrong anwers but how you justify and convince the readers of the approaches taken.
Be inquisitve, play with the data, and try different methods and techniques.
Formatting Guidelines
See attached coursework document.
Word Limit/Guidance and Penalty Applied
See attached cousework document.

Referencing Style
Referencing in an Author-Year (e.g., Harvard, APA) format
Guidance on Academic
Misconduct (including using Turnitin practice area)
The work you produce must be your own or that of members of your group if it is a group assessment.
You should ensure that the work you produce adheres to the University’s statement on academic integrity and to the regulations regarding academic misconduct (such as plagiarism and cheating). You can find information about this at: http://www.reading.ac.uk/internal/exams/Policies/exa- misconduct.aspx
You are encouraged to put a draft of your work through the Turnitin practice area to satisfy yourself that the work is your own original work. You can find this in your module area on Blackboard. You can seek advice from the Module Convenor or your Programme Administrator.
4. What Resources Might I Use to Prepare My Work?
See attached coursework specification.

5. Late Submission Arrangements
Point of Submission : Click or tap here to enter text.
Late Submission Penalty: ☒ The University Standard Penalty Apply
☐ Other: Click or tap here to enter text.
Plagiarism:
☒ The University’s Standard Policy on Academic Misconduct Applies ☐ Other: Click or tap here to enter text.
6. Feedback Arrangements
Timing of feedback:
☒ Within 15 days of submission deadline ☐ When examinations marks are released ☐ Other Click or tap here to enter text.
Type of feedback:
☒ Mark
☒ Individual Feedback ☐ Audio Feedback
☐ Breakdown of Mark
☐ Generic Feedback
☐ Comments Written on the Assessment
☐ Video Feedback
☐ Other: Click or tap here to enter text.
Location of Feedback:
☒ Blackboard ☐ Turnitin ☐ RISIS ☐ Other: Click or tap here to enter text.
Note: Student coursework must adhere to the University of Reading policy on Academic Misconduct.
Further information is available at: https://www.reading.ac.uk/exa-misconduct.aspx