Fact-based information modelling and relational database design
P Steele
6 points
* 4 hours per week
* Second, summer semester
*
Peninsula
* Prerequisites: CFR1123 or CFR1252 or CFR1306 or
equivalent
Objectives At the completion of this subject students should understand the fact-based approach to information modelling and be able to use it successfully in a variety of situations; understand how to transform fact-based information models to relational models and be able to perform this transformation successfully; and understand the differences between the entity relationship approach and the fact-based approach to information modelling.
Synopsis Information systems and the conceptual schema. Conceptual, external and internal levels. The fact-based approach to information modelling. Specifying fact types and adding constraints such as uniqueness, mandatory roles, values, subtyping, occurrence frequencies, subset, equality, exclusion, logical and user-defined constraints. Derivation rules. The relational model of data. Domains, attributes, relations, candidate, primary and foreign keys. Entity, referential and user-defined integrity. Mapping fact-based conceptual schemas to relational schemas with particular emphasis on constraint implementation through database triggers, rules and procedures. Equivalence transformations on conceptual schemas and optimisation strategies. Comparison of fact-based models to entity relationship models.
Assessment Examination (3 hours): 50%
* Practical work: 50%
Prescribed texts
Halpin T A Conceptual schema and relational database design 2nd edn, Prentice-Hall, 1995
Recommended texts
Barker R CASE*method: Entity relationship modelling Addison-Wesley, 1990
Simpson G Data modelling essentials: Analysis, design and innovation Van Nostrand Reinhold, 1994
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