|Unit Title: |Unit Code: |
|Data Analysis and Design |DAD |
|Student Name: |Student ID: |
|Lecturer Name: |Issue Date: |
|Ematchandirane Vasu |26th February 2013 |

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Rules and regulations:

| |
|Plagiarism is presenting somebody else’s work as your own. It includes: copying information directly from the Web or books |
|without referencing the material; submitting joint coursework as an individual effort; copying another student’s coursework;|
|stealing coursework from another student and submitting it as your own work. Suspected plagiarism will be investigated and |
|if found to have occurred will be dealt with according to the procedures set down by the College. Please see your student |
|handbook for further details of what is / isn’t plagiarism. |

Coursework Regulations

1. All coursework must be submitted via stponline.co.uk

2. Please check the submission date and time and ensure that coursework is submitted on time.

3. Requests for an extension must be in accordance with the guidelines set out in the college regulations, with the necessary documentary evidence to support your request. Refer to The Student Handbook.

4. General guidelines for submission of coursework:

a) All work must be word-processed and must be of a “good” standard.

b) Document margins should not be more than 2.5cm or less than 1.5cm.

c) Font size in the range of 11 to 14 points distributed to including headings and body text. Preferred typeface to be of a common standard such as Arial, Calibri or Times New Roman for the main text.

c) All work completed including any software constructed may not be used for any purpose other than the purpose of intended study without prior written permission from St Patrick’s College.

Remember to keep evidence of your submitted coursework.

Unit Outcomes being assessed by this coursework:

|Outcomes |Assessment criteria for pass |
| |To achieve each outcome a learner must demonstrate the ability to: |
|1 |Understand data models and |Provide evidence to support an understanding of different data models. Compare and |
| |Database technology |contrast different data model structures and examine their contribution to database |
| | |development |
| | |Examine case material that focuses on developments such as data mining and data |
| | |warehousing |
| | |Analyze the different approaches to database design |
|2 |Design a relational database to |Apply data analysis and design techniques to develop a fully relational database with |
| |meet user requirements |minimum of six tables |
| | |Verify that a design meets user requirements and provide justification of the database |
| | |design