COMP SCI 7089 - Event Driven Computing

North Terrace Campus - Semester 2 - 2018

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. Practical projects cover the use of FSAs for control logic and GUI design. Introduction to design patterns for managing complexity in large systems

  • General Course Information
    Course Details
    Course Code COMP SCI 7089
    Course Event Driven Computing
    Coordinating Unit School of Computer Science
    Term Semester 2
    Level Postgraduate Coursework
    Location/s North Terrace Campus
    Units 3
    Contact Up to 2.5 hours per week
    Available for Study Abroad and Exchange Y
    Assumed Knowledge COMP SCI 7082 or COMP SCI 7201
    Restrictions Master of Computing and Innovation, Graduate Diploma in Computer Science and Graduate Certificate in Computer Science students only.
    Course Description 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. Practical projects cover the use of FSAs for control logic and GUI design. Introduction to design patterns for managing complexity in large systems
    Course Staff

    Course Coordinator: Dr Asangi Jayatilaka

    Course Timetable

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

  • Learning Outcomes
    Course Learning Outcomes
    On successful completion of this course students 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 Construct GUI-based software systems
    7 Explain a few basic design-patterns, and know when to apply them
    The above course learning outcomes are aligned with the Engineers Australia Stage 1 Competency Standard for the Professional Engineer.
    The course is designed to develop the following Elements of Competency:
    1.2   1.3   1.6   2.1   2.2   2.3   2.4   3.3   3.4   3.5
    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)
    Deep discipline knowledge
    • informed and infused by cutting edge research, scaffolded throughout their program of studies
    • acquired from personal interaction with research active educators, from year 1
    • accredited or validated against national or international standards (for relevant programs)
    Critical thinking and problem solving
    • steeped in research methods and rigor
    • based on empirical evidence and the scientific approach to knowledge development
    • demonstrated through appropriate and relevant assessment
    Teamwork and communication skills
    • developed from, with, and via the SGDE
    • honed through assessment and practice throughout the program of studies
    • encouraged and valued in all aspects of learning
    Career and leadership readiness
    • technology savvy
    • professional and, where relevant, fully accredited
    • forward thinking and well informed
    • tested and validated by work based experiences
    Self-awareness and emotional intelligence
    • a capacity for self-reflection and a willingness to engage in self-appraisal
    • open to objective and constructive feedback from supervisors and peers
    • able to negotiate difficult social situations, defuse conflict and engage positively in purposeful debate
  • 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. However, if you want to be able to work at home, you could consider installing Java on your own system.
    Online Learning
    You can find the general information about this course at Specific information about previous years' offerings can be found at
  • 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 it is unwise to rely on the recordings as your only source to study the course.

    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 (2 hours per week). In addition to the schedule contact hours, you are expected to spend an additional 2-4 hours per week after each lecture to consolidate your understanding of it. You will need to allocate up to 5 hours per week to work on the assignments and tutorials.
    Learning Activities Summary
    There is an approximate schedule of the topics that will be covered on the course website. The exact timing will depend on the times of public holidays and other eventualities.
  • Assessment

    The University's policy on Assessment for Coursework Programs is based on the following four principles:

    1. Assessment must encourage and reinforce learning.
    2. Assessment must enable robust and fair judgements about student performance.
    3. Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
    4. Assessment must maintain academic standards.

    Assessment Summary
    Assessment Task Weighting (%) Individual/ Group Formative/ Summative
    Due (week)*
    Hurdle criteria Learning outcomes CBOK Alignment**
    3 programming exercises 40 Individual Summative 1. 2. 3. 6. 7. 1.1 1.2 2.2  2.4  2.5  2.6  3.1  3.2  4.1  4.2  4.3  4.4  5.2
    Final exam 60 Individual Summative n/a 40% 1. 2. 3. 4. 5. 6. 7. 1.1 1.2 4.2  4.3  4.4  5.2
    Total 100
    * The specific due date for each assessment task will be available on MyUni.
    This assessment breakdown complies with the University's Assessment for Coursework Programs Policy.
    This course has a hurdle requirement. Meeting the specified hurdle criteria is a requirement for passing the course.

    **CBOK is the Core Body of Knowledge for ICT Professionals defined by the Australian Computer Society. The alignment in the table above corresponds with the following CBOK Areas:

    1. Problem Solving
    1.1 Abstraction
    1.2 Design

    2. Professional Knowledge
    2.1 Ethics
    2.2 Professional expectations
    2.3 Teamwork concepts & issues
    2.4 Interpersonal communications
    2.5 Societal issues
    2.6 Understanding of ICT profession

    3. Technology resources
    3.1 Hardware & Software
    3.2 Data & information
    3.3 Networking

    4. Technology Building
    4.1 Programming
    4.2 Human factors
    4.3 Systems development
    4.4 Systems acquisition

    5.  ICT Management
    5.1 IT governance & organisational
    5.2 IT project management
    5.3 Service management 
    5.4 Security management
    Assessment Related Requirements
    Hurdle Requirement: If your overall mark for the course is greater than 44 F but, your mark for the final written exam is less than 40%, your overall mark for the course will be reduced to 44 F.
    Assessment Detail
    All practical assignments require you to write programs. Most of them will be marked by an automatic testing script. You are strongly encouraged to begin the exercises early, to allow time for seeking help when needed. You will find that the marking script is aggessively hostile - it will seek to break your program. The test script does not tell you exactly what is being tested, and may provide little or no information that is useful in finding errors. If you submit your exercise at the last minute, and hope to use the automated tester to help you debug your program, you will be seriously disappointed. You should build your program in small stages, and test it thoroughly.

    In the case of automatic testing, to encourage you to test your own program, access to the tester may be limited to three test runs. These test runs will be provided with intervals giving you the opportunity to test and re-test your program after subsequent updates.

    The testing regime is like this because, you will most likely soon graduate, after which there will be no more automatic testers available - you will need to learn how to test, and write you own testers.

    If you hand in your work late, your mark will be capped, based on how many days late it is.

    –1 day late – mark capped at 75%
    –2 days late – mark capped at 50%
    –3 days late – mark capped at 25%
    –more than 3 days late – no marks available
    All practical assignments must be submitted using the School of Computer Science online Submission System. All details are included in each assignment description on the course website.

    In the case of automatic testing, if you hand in your work late, you will miss the test-runs, and deprive yourself of vital evidence that might help you debug your program. Start early, test often!
    Course Grading

    Grades for your performance in this course will be awarded in accordance with the following scheme:

    M10 (Coursework Mark Scheme)
    Grade Mark Description
    FNS   Fail No Submission
    F 1-49 Fail
    P 50-64 Pass
    C 65-74 Credit
    D 75-84 Distinction
    HD 85-100 High Distinction
    CN   Continuing
    NFE   No Formal Examination
    RP   Result Pending

    Further details of the grades/results can be obtained from Examinations.

    Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.

    Final results for this course will be made available through Access Adelaide.

  • Student Feedback

    The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.

    SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy ( course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.

  • Student Support
  • Policies & Guidelines
  • Fraud Awareness

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