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Course Outlines

COMP SCI 4411 - Event Driven Computing

North Terrace Campus - Semester 2 - 2021

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. Push-down automata and applications to parsing. Building Graphical User Interfaces: model view controller paradigm. Building GUIs using modern APIs. Ease of use and human-computer interaction issues.

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  • General Course Information
    Course Details
    Course Code COMP SCI 4411
    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
    Available for Study Abroad and Exchange Y
    Prerequisites COMP SCI 2201
    Incompatible COMP SCI 4811
    Assumed Knowledge COMP SCI 2103
    Assessment Written exam and/or assignments
    Course Staff

    Course Coordinator: Mr Ian Knight

    Course Timetable

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

  • 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.  Use Mealy and Moore Machines to develop advanced event-driven systems
    7.  Understand and apply modern approaches to event-driven systems
    The above course learning outcomes are aligned with the Engineers Australia .

    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)
    		 1,2,3,4,5,6,7
    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
    		 1,2,3,4,5,6
    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
    		 5,6,7
    Career and leadership readiness
    • technology savvy
    • professional and, where relevant, fully accredited
    • forward thinking and well informed
    • tested and validated by work based experiences
    		 5,6,7
  • Learning Resources
    Required Resources

    Course notes and other online resources will be provided as study material.

    You are expected to have access to your own personal computing platform and a reliable Internet connection.

    Recommended Resources
    Additional relevant readings & resources will be indicated by the lecturers.
    Online Learning
    Online learning and resources will be provided via .
  • Learning & Teaching Activities
    Learning & Teaching Modes

    No information currently available.

    Workload

    No information currently available.

    Learning Activities Summary

    No information currently available.

  • 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**
    Programming Assignments 60 Individual Summative 6, 9, 12 1. 2. 3. 4. 5. 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 5.3
    Exam 40 Individual Summative Exam Period 0.4 1. 2. 3. 4. 5. 6. 7. 1.1  1.2  2.2  2.6 3.1  3.2  3.3  4.1 4.2  4.3  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.

    **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
    Additional Assessment: The Project is mandatory: a submission must be made within one week of the relevant due date or any opportunity for an additional assessment may be denied.
    Assessment Detail
    Detailed descriptions of all assessments will be available on the course website.

    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
    Submission
    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 .

  • 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 (http://www.adelaide.edu.au/policies/101/) 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

    This section contains links to relevant assessment-related policies and guidelines - all university policies.

  • Fraud Awareness

    Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student鈥檚 disciplinary procedures.

The 成人大片 is committed to regular reviews of the courses and programs it offers to students. The 成人大片 therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.
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