Use the Tab and Up, Down arrow keys to select menu items.
This course covers advanced methods using binary relations for graphs, modelling, algorithm development and program semantics. It presents the mathematical foundations and tools for relational programming, modelling and visualisation.
TopicsIn this course we explore binary relations and their application in modelling. We will cover a selection of topics from the following, non-exclusive list:• foundations o relations o orders o lattices• applications o graphs: transitive closure, reachability, matchings, cycles, confluence o modelling: two-person games, social choice, preference o algorithm development: relational specification, program transformation o program semantics: verification, preconditions, fixpoints, computation models• tools o relational programming and modelling languages: Alloy, RelView o counterexample generators: Mace4, Nitpick o automated theorem provers: Isabelle, Prover9
After completing the course you will know relations, basic relational operations and their properties, understand the matrix and graph representations of relations, be able to perform specific modelling tasks using relations, be able to formally reason about relations, be able to use tools for programming, modelling or reasoning with relations, be aware of program semantics, be aware of the abstraction provided by relations.
This course will provide students with an opportunity to develop the Graduate Attributes specified below:
Critically competent in a core academic discipline of their award
Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.
Subject to the approval of the Head of Department
Students must attend one activity from each section.
Lecture notes will be provided. No textbooks are required, but see the following books for additional information:• G. Schmidt, T. Strohlein: Relations and graphs, Springer, 1993.• R. Bird, O. de Moor: Algebra of programming, Prentice Hall, 1997.• C. Brink, W. Kahl, G. Schmidt: Relational methods in computer science, Springer, 1997.• R. Berghammer: Ordnungen, Verbande und Relationen mit Anwendungen, Vieweg, 2008.• G. Schmidt: Relational mathematics, Cambridge University Press, 2010.• D. Jackson: Software abstractions, MIT Press, 2012.
Course Information on Learn
The Computer Science department's grading policy states that in order to pass a course you must meet two requirements:1. You must achieve an average grade of at least 50% over all assessment items.2. You must achieve an average mark of at least 45% on invigilated assessment items.If you satisfy both these criteria, your grade will be determined by the following University- wide scale for converting marks to grades: an average mark of 50% is sufficient for a C- grade, an average mark of 55% earns a C grade, 60% earns a B- grade and so forth. However if you do not satisfy both the passing criteria you will be given either a D or E grade depending on marks. Marks are sometimes scaled to achieve consistency between courses from year to year.Students may apply for special consideration if their performance in an assessment is affected by extenuating circumstances beyond their control.Applications for special consideration should be submitted via the Examinations Office website within five days of the assessment. Where an extension may be granted for an assessment, this will be decided by direct application to the Department and an application to the Examinations Office may not be required. Special consideration is not available for items worth less than 10% of the course.Students prevented by extenuating circumstances from completing the course after the final date for withdrawing, may apply for special consideration for late discontinuation of the course. Applications must be submitted to the Examinations Office within five days of the end of the main examination period for the semester.
Domestic fee $963.00
International Postgraduate fees
* Fees include New Zealand GST and do not include any programme level discount or additional course related expenses.
For further information see
Computer Science and Software Engineering.