Chapter 2: Preparing for the project work
21
printouts, screenshots, database tables, and so on are only intended to
support the written report and should be carefully chosen and mentioned
in the report. If you just rely on lots of ‘printouts’
and fail to write a
coherent report, the Examiners cannot give you many marks.
In the
database project, there are two central requirements – first, a
carefully developed class diagram to show those aspects of the world that
your databases will store data about. Second, a normalised data model
that serves as the design that you will implement in software. The class
diagram is the result of analysis work – you studying the world. The data
model, which leads on from the class diagram, is the result of design work
– taking the class diagram as its starting point.
If the data model is well
executed, with entities identified, relations clearly expressed and attributes
specified, then the rest of the project – its implementation using the
software – will follow smoothly. In preparing the data model students must
show evidence that they have explicitly considered issues of normalisation.
The details of class diagrams, data models and normalisation are topics
covered in Chapter 8 of this subject guide.
For the
spreadsheet project, it is less easy
to identify a specific or
linked set of fundamental requirements. To achieve a good mark, you need
to select an appropriate problem to tackle – one that has a reasonable
quantity of data and an underlying computational model that you can
implement. The best projects draw on real data that relate to some area
that you really understand or have researched. Weak projects are based
on made-up data or examples from books that
provide models that are too
simple or too generic. Remember too, good spreadsheets are
designed
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