- Code COMP6260
- Unit Value 6 units
- Offered by Research School of Computer Science
- ANU College ANU College of Engineering and Computer Science
- Course subject Computer Science
- Academic career PGRD
- Prof Rajeev Gore
- Mode of delivery In Person
- Co-taught Course
Second Semester 2016
See Future Offerings
This course presents some formal notations that are commonly used for the description of computation and of computing systems, for the specification of software and for mathematically rigorous arguments about program properties. The following areas of study constitute the backbone of the course. Predicate calculus and natural deduction, inductive definitions of data types as a basis for recursive functions and structural induction, formal language theory (particularly regular expressions, finite state machines and context free grammars), specification languages, propositional programming language semantics, partial correctness and proofs of termination.
Upon successful completion, students will have the knowledge and skills to:
Upon completion of this course, the student will be able to do the following:
- Apply the concepts of standard mathematical logic to produce proofs or refutations of well-formed propositions or arguments phrased in English or in a variety of formal notations (first order logic, discrete mathematics or Hoare Logic).
- Given a description of a regular language, either in English, as a regular expression or as a grammar, generate a finite state automaton that recognizes that language. Similarly, given a deterministic or nondeterministic automaton, give a description of the language which it accepts.
- Given an inductive definition of a simple data structure, write a recursive definition of a given simple operation on data of that type. Given some such recursively defined operations, prove simple properties of these functions using the appropriate structural induction principle.
- Prove simple programs correct using Hoare Logic.
- Prove correctness and termination of a simple program using the weakest precondition calculus.
- Specify a simple system using Z.
- Understand very simple Prolog programs.
Assignments (36%); Tutorials (4%); Quiz (10%); Final Exam (50%)
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Thirty one-hour lectures and nine one-hour tutorials
Tuition fees are for the academic year indicated at the top of the page.
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- Student Contribution Band:
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
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Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|8553||18 Jul 2016||29 Jul 2016||31 Aug 2016||28 Oct 2016||In Person||N/A|