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COMP1438 Data Modelling Systems Computation Conference

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 University. Please see your student handbook for further details of what is / isn't plagiarism.

All material copied or amended from any source must be referenced correctly according to the reference style you are using.

Your work will be submitted for plagiarism checking.  Any attempt to bypass our plagiarism detection systems will be treated as a severe Assessment Offence.

Deliverables

A report which includes the following sections:

1.An introduction detailing the purpose of the specification and the user environment. This should include a description of the issues or problems to be solved.

2.You should expand your specification to a System Specification. This should be aimed at the developer of the system and should include:

  • Data Models of the proposed system

Conceptual Model – EERD (This should include entities, relationships, primary key constraints, cardinality and participation constraints, specialisation and generalisation.

Logical Model – Mapped EERD (Map the conceptual model to a logical model using the relevant steps.  Carry out normalisation to 3rd normal forms and discuss the progression through 1st, 2nd and 3rd normal forms.  This mapped model also should additionally include all attributes and foreign keys.

  • Use either the extended Crow’s Foot notation or Chen’s notation but do not mix the notations (i.e. use either one or the other but not both).  
  • Use any design tool that you feel most familiar with (i.e. Visio, MS Word or IBM Rational etc.)

A Data Dictionary detailing the data requirements of your proposed system

A discussion of problems you encountered and how you endeavoured to solve them.


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