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Course Outlines

COMP SCI 3013 - Event Driven Computing

North Terrace Campus - Semester 2 - 2014

Event driven paradigm: Finite State Automata, their behaviour and implementation. Correspondence with regular expressions. Examples of embedded systems. Introduction to interconnected state machines, Petri Nets, and concurrency. Concepts of state-space and relationship to testing. Building Graphical User Interfaces: model view controller paradigm. Building GUIs with the Java Swing library. Ease of use and human-computer interaction issues. Introduction to design patterns for managing complexity in large systems Practical projects cover the use of FSAs for control logic and GUI design.

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  • General Course Information
    Course Details
    Course Code COMP SCI 3013
    Course Event Driven Computing
    Coordinating Unit Computer Science
    Term Semester 2
    Level Undergraduate
    Location/s North Terrace Campus
    Units 3
    Contact Up to 2.5 hours per week
    Prerequisites One of COMP SCI 1007, COMP SCI 1009, COMP SCI 1103, COMP SCI 1203, COMP SCI 2103 or COMP SCI 2202
    Assumed Knowledge COMP SCI 2006
    Assessment written exam, assignments
    Course Staff

    Course Coordinator: Mr David Knight

    Course Timetable

    The full timetable of all activities for this course can be accessed from .

    You can find the schedule of lecture topics on the course webpage:
  • Learning Outcomes
    Course Learning Outcomes
    The course provides an introduction to finites state machines, and the event-driven programming paradigm.
    Upon completion of this course you will be able to:
    1. Describe the different ways a finite-state machine can be represented;
    2. Explain how a finite state machine recognises an input string;
    3. Explain how a non-deterministic finite state machine works;
    4. Explain the behaviour of regular expressions;
    5. Translate a regular expression into a corresponding finite-state machine;
    6. Build GUI-based software systems;
    7. Explain a few basic design-patterns, and know when to apply them.
    University Graduate Attributes

    This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:

    University Graduate Attribute Course Learning Outcome(s)
    Knowledge and understanding of the content and techniques of a chosen discipline at advanced levels that are internationally recognised. 1,2,3,4,5,7
    The ability to locate, analyse, evaluate and synthesise information from a wide variety of sources in a planned and timely manner. 1,2,3,4,5,6,7
    An ability to apply effective, creative and innovative solutions, both independently and cooperatively, to current and future problems. 1,2,3,4,5,6,7
    A proficiency in the appropriate use of contemporary technologies. 6
  • Learning Resources
    Required Resources
    There is no required text-book.  
    Comprehensive lecture notes are available for most parts of the course.

    Recommended Resources
    You can perform all the exercise work required for the course in the University computer Labs.
    The programming language used is Java, which is similar to C++ (but with most of the disgustingness removed...)
    However, if you want to be able to work at home, you could consider installing Java on your own system.
    For more information, go to the Java website --- simply Google "Java".

    Online Learning
    You can find the general information about this course at 
    Specific information about this year's offering can be found under the heading "current offerings" near the top of the page.  Links to lecture-recordings, examples, exercises, and tutorials will be posted on this page.

  • Learning & Teaching Activities
    Learning & Teaching Modes
    The course will be taught with lecture/demonstration sessions.
    There will also be tutorial classes, and practical exercises.
    You are expected to attend the lectures and take part in the activities, and attempt tutorial questions before the scheduled tutorial session.

    All lectures will be recorded, but things can go wrong --- equipment failure, lecturer failure, etc.
    It is unwise to rely on the recordings as your only source of the lectures.
    Workload

    The information below is provided as a guide to assist students in engaging appropriately with the course requirements.

    You are expected to attend all scheduled lecture classes (2hrs per week).
    In addition to the schedule contact hours, you are expected to spend an additional