Assessment Details and Submission Guidelines
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Unit Code
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MN405
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Unit Title
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Data and Information Management
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Assessment Type
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Assignment 1 (T3 2018)
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Assessment Title
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Managing Data in Databases
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Purpose of the assessment (with ULO Mapping)
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The purpose of this assignment is to develop skills in managing data in databases and to gain understanding of data model development and implementation using a commercially available database management system development tool.
On completion of this assignment students will be able to:
a. Model organisational information requirements using conceptual data modelling techniques.
b. Convert the conceptual data models into relational data model and verify their structural characteristics with normalisation techniques.
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Weight
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20% of total assessment for the unit
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Total Marks
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100 = 30 (for online quiz- Part A) + 70 (for Part B)
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Word limit
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No specific word limit
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Due Date
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Lab class week 8
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Description of this assignment:
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This assignment consists of two parts:
Part A:
An online quiz on Moodle, comprising 30 questions. This quiz covers basic concepts of the relational data models. Students may have up to 3 attempts to answer this quiz. The system will keep the highest score.
Part B:
Answer SQL Queries to extract data from data tables and questions on mapping conceptual data models into relational data model.
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Submission Guidelines
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· All work must be submitted on Moodle by the due date.
· Download this assignment, write your answers and save it on Moodle link as “MN405_T3_2018_Assigment1_your_name.doc”
· The assignment must be in MS Word format, 1.5 spacing, 11-pt Calibri (Body) font and 2.5 cm margins on all four sides of your page with appropriate section headings.
· Reference sources must be cited in the text of the report, and listed appropriately at the end in a reference list using IEEE referencing style.
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Extension
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· If an extension of time to submit work is required, a Special Consideration Application must be submitted directly to the School's Administration Officer, in Melbourne on Level 6 or in Sydney on Level 7. You must submit this application three working days prior to the due date of the assignment. Further information is available at:
http://www.mit.edu.au/about
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mit/institute
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publications/policies
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procedures
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and
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guidelines/special
considerationdeferment
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Academic Misconduct
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· Academic Misconduct is a serious offence. Depending on the seriousness of the case, penalties can vary from a written warning or zero marks to exclusion from the course or rescinding the degree. Students should make themselves familiar with the full policy and procedure available at:
http://www.mit.edu.au/about-mit/institute-publications/policies-procedures-and-guidelines/Plagiarism-Academic-Misconduct-Policy-Procedure
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For further information, please refer to the Academic Integrity Section in your Unit Description.
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Assignment Description
Part A: (30 marks
)
The quiz will open after week 5. Paste below the summary of your Assignment 1 quiz results from Moodle.
Part B: (70 marks)
1.
The snapshot of
Loan_ManagementDB
database structure is given in Figure 1.
This database collects information about Customers who borrow money from a company. Collector is the person who gives the money to the customers and collects it at a later point in time.
You are working as an IT specialist in this organisation and are required to extract information from this database by executing SQL queries according to the instructions given below.
The primary keys are marked in the
Loan_ManagementDB
database, shown in figure1.
Figure 1: Snapshot of
Loan_ManagementDB
database © Database Answers Ltd. 2016
a. First you need to implement the above database in MS Access. Create 4 tables
Customer, Collector, LoanContract
and
Payment.
(5 Marks)
b. And populate those tables with suitable data (at least 3 records per table).
i. You can use Datasheet view in MS Access or SQL statement (as given below) to enter suitable data records.
INSERT into
TableName
VALUES (“..”,”..”,.....)
ii. Include
CustomerNumber and
CollectorID
into the LoanContract table as foreign keys.
NB:
You need to upload your database on submission link along with the word document.
This is an individual assignment; it should be your own individual work (You should not copy Ms Access Database).
If not, this is considered as cheating and you will get
zero
marks for the whole assignment.
(5 Marks)
Write SQL queries for the following questions.
Execute the queries on the “Loan_ManagementDB” database you created in MS Access. Include screen shots of the outputs and all SQL statements you used to answer following questions:
(3 marks for each screen shot & remaining marks for the SQL query)
c. Prepare a list of all the records in the “LoanContract” table. You are required to sort the list in descending order of Loan Amount.
(5 Marks)
d. Assume that you want to count how many customers are there in the LoanContract table with “LoanPaymentAmountDue” greater than $5000. Write a query to find the number.
(5 Marks)
e. Display contractID, DateContractEnds, Customer Number and CollectorID of all customers whose “LoanPaymentAmountDue” is greater than $5000 (Hint: Join LoanContract and collector tables )
(5 Marks)
2.
Figure 2 shows the ER diagram that captures important information in the tracking of course registration.
Figure 2: Course registration ER Diagram
a. Convert the ER diagram into a relational database schema. Be certain to indicate primary keys (underline).
Eg. Student (StudentID:
NUMBER; Student_name: text; Student_address:text)
(10 Marks)
b. Explain the purpose of using an Associative / Bridge entity. Identify a place in the ER diagram where you can include an Associative / Bridge entity. Justify your answer.
(5 Marks)
3.
Business intelligence (BI) is a term that describes a comprehensive, cohesive, and Integrated set of tools and processes used to capture, collect, integrate, store, and analyse data with the purpose of generating and presenting information to support business decision making. Components of the BI framework are given in the Figure 3.
(Reference : Chap 13 -Database Systems: Design, Implementation, & Management
Ⓒ
2017 ISBN 9781305627482-By
Carlos Coronel and Steven Morris )
Data visualization is one of the BASIC BI ARCHITECTURAL COMPONENT.
Figure 3: Components of the BI framework
Answer following questions.
a. Explain the importance of “data visualisation” in Business Intelligence, by using an example.
(5 Marks)
b. Tableau (www.tableau.com) is a data visualization tool. Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations.
Install Tableau Public (https://public.tableau.com/s/
) on your laptop / computer and create any 2 visualisations. Follow the following instructions:
i. First go to Tableau Public
https://public.tableau.com/s/
and enter your email address and select “Download the App”
ii. Then you can download the software and run the .exe file to install.
iii. Now you will get the following starting screen. Here you can upload MS Excel or MS Access file. Watch this video to find more details on “How to”.
https://public.tableau.com/en-us/s/resources
iv. You can use any MS Excel, MS Access file or any data file to create 2 visualisations. It should be your own individual work.
(10 Marks)
4.
Performance assessment
Demonstrate your progress to your tutor in week 7 or week 8 lab class.
This will allow students to demonstrate their understandings and skills (to their teacher) as they perform these activities. You are evaluated by the teacher on the quality of your ability to perform specific tasks and the products you create in the process.
(15 Marks)
Other useful Resources
§ Getting started -https://public.tableau.com/en-us/s/resources
§ Data visualization field guide: a definition, examples, and learning resources
https://www.tableau.com/learn/articles/data-visualization
Marking criteria:
Marks are allocated for each part as below:
Marking Rubric for
Assignment 1 -Total Marks 100
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Excellent
100%
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Very Good
80%
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Good
60%
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Satisfactory
40%
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Unsatisfactory
0%-20%
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Q1.
Model organisational information requirements using conceptual data modelling techniques and Query Writing
Skills
(25 marks)
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Evidence of accurate and well-
written queries
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Evidence of good query writing skills.
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Generally relevant.
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Demonstrated reasonable query writing skills.
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Did not demonstrate evidence of understanding the topic.
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Q2.
Convert the conceptual data model into relational data model.
(15 marks)
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Demonstrated excellent ability to think critically.
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Demonstrated an ability to think critically.
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Demonstrated reasonable ability to think.
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Demonstrated some ability to think critically but not complete.
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Did not demonstrate ability to think critically.
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Q3.
Model organisational information (By using online software Tool and Big data technologies)
(15 marks)
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Demonstrated excellent knowledge on the topic
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Demonstrated good knowledge on the topic.
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Demonstrated reasonable knowledge on the topic
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Demonstrated some knowledge on the topic.
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Did not demonstrate any knowledge on the topic.
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Q4.
Performance assessment
(15 marks)
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Demonstrated excellent knowledge on the topic
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Demonstrated good knowledge on the topic.
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Demonstrated reasonable knowledge on the topic
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Demonstrated some knowledge on the topic.
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Did not demonstrate any knowledge on the topic.
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Quiz
(30 marks)
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Demonstrated excellent ability to think critically.
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Demonstrated some ability to think critically.
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Demonstrated reasonable ability to think.
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Demonstrated some ability to think critically but not complete.
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Did not demonstrate ability to think critically
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