Page 1 Kaplan Business School Assessment Outline
Assessment 2 Information
| Subject Code: | DATA4200 | ||
| Subject Name: | Data Acquisition and Management | ||
| Assessment Title: | Unstructured Data Management | ||
| Assessment Type: | Report (Individual) | ||
| Word Count: | 1500 | Words | (+/-10%) |
| Weighting: | 35% | ||
| Total Marks: | 35 | ||
| Submission: | via Turnitin (Word report) | ||
| Due Date: | Tuesday of Week 10, 23:55pm AEST |
Your Task
This report will enable you to practice your LO1 and LO2 skills.
LO1: Evaluate ethical data acquisition and best practice about project initiation
LO2: Evaluate options for storing, accessing, distributing, and updating data during the life of
a project.
Complete all parts below. Consider the rubric at the end of the assignment for guidance on
structure and content.
Submit the results as a Word file in Turnitin by the due date.
Background
Unstructured data has typically been difficult to manage, since it has no predefined data model, is not
always organised, may comprise multiple types. For example, data from thermostats, sensors, home
electronic devices, cars, images, sounds and pdf files.
Given these characteristics, special collection, storage, and analysis methods, as well as software, have
been created to take advantage of unstructured data.
Assessment Instructions
Given the considerations above, select one of the following industries for your assessment.
Healthcare
Retail – clothing
Social Media
Education
Motor vehicles
Fast Foods
1. Read relevant articles on the industry you have chosen.
2. Choose one application from that industry.
Page 2 Kaplan Business School Assessment Outline
3. Introduce the industry and application, e.g., healthcare and image reconstruction (300 words, 6
marks)
4. Explain what sort of unstructured data could be used by an AI or Machine Learning algorithm in
the area you chose. (300 words, 6 marks)
a. Discuss best practice and options for (800 words, 15 marks):
b. Accessing/collecting (2 marks),
c. Storing (2 marks),
d. Sharing (2 marks),
e. Documenting (2 marks),
f. and maintenance of the data (2 marks).
5. Propose a question that could be asked in relation to your unstructured data and what software
might help you to run AI and answer the question. (100 words, 3 marks)
Important Study Information
Academic Integrity Policy
KBS values academic integrity. All students must understand the meaning and consequences of
cheating, plagiarism and other academic offences under the Academic Integrity and Conduct Policy.
What is academic integrity and misconduct?
What are the penalties for academic misconduct?
What are the late penalties?
How can I appeal my grade?
Click here for answers to these questions:
http://www.kbs.edu.au/current-students/student-policies/.
Word Limits for Written Assessments
Submissions that exceed the word limit by more than 10% will cease to be marked from the point at
which that limit is exceeded.
Study Assistance
Students may seek study assistance from their local Academic Learning Advisor or refer to the
resources on the MyKBS Academic Success Centre page. Click here for this information.
Page 3 Kaplan Business School Assessment Outline
Assessment Marking Guide
| DATA4200 Assessment 2 |
Rubric /35 |
|
| Report | ||
| 0-15 | 16-30 | /30 |
| The report has demonstrated limited achievement: Introduction to the industry background. level of engagement was lower. Limited explanation of the sort of unstructured data that could be used by an AI or Machine Learning Algorithm. Limited identification and explanation of the AI/Machine Learning algorithm. Limited discussions on the best practices with regards to data access and collection, storage, sharing, documentation, and maintenance. level of engagement was lower. The report failed to clearly propose a question in relation to the unstructured data and answered the question. |
The report has achieved all or most of: Introduction to the industry background. report more engaging. Thoroughly explained of the sort of unstructured data that could be used by an AI or Machine Learning Algorithm. Identified and explained the AI/Machine Learning algorithm. Discussed the best practices with regards to data access and collection, storage, sharing, documentation, and maintenance. report more engaging. The report clearly proposed a question in relation to the unstructured data and answered the question well. |
4 2 3 3 10 5 3 |
| Referencing | ||
| 0-1 | 2-3 | 6/3 |
| Has demonstrated limited achievement of: The report used some references and correctly applied the KBS Harvard referencing system. |
Has demonstrate achievement in all or most of: The report used at least 10 references and correctly applied the KBS Harvard referencing system. |
3 |
The report made limited use of
visuals, diagrams etc… so that the
The report made limited use of
visuals, diagrams etc… so that the
The report made good use of
visuals, diagrams etc… to make the
The report made good use of
visuals, diagrams etc… to make the
Page 4 Kaplan Business School Assessment Outline
| Report Structure | ||
| 0-1 | 1-2 | /2 |
| Has demonstrated limited achievement of: The report was not well structured or demonstrated a lack of structure. |
Has demonstrate achievement in all or most of: The report was well structured. |
2 |