COMP SCI 3013NA - Event Driven Computing
Ngee Ann Academy - Trimester 1 - 2016
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General Course Information
Course Details
Course Code COMP SCI 3013NA Course Event Driven Computing Coordinating Unit Computer Science Term Trimester 1 Level Undergraduate Location/s Ngee Ann Academy Units 3 Available for Study Abroad and Exchange N Course Staff
Course Coordinator: Associate Professor Nickolas Falkner
Course Timetable
The full timetable of all activities for this course can be accessed from .
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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:- Describe the different ways a finite-state machine can be represented;
- Explain how a finite state machine recognises an input string;
- Explain how a non-deterministic finite state machine works;
- Explain the behaviour of regular expressions;
- Translate a regular expression into a corresponding finite-state machine;
- Build GUI-based software systems;
- 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) 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)
5 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
4,5 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
1,2,3,4 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 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
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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 NgeeAnn computer Labs.
The programming language used is Java, which is similar to C++.
However, if you want to be able to work at home, you could consider installing Java on your own computer.
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 examples, exercises, and tutorials will be posted on the page. -
Learning & Teaching Activities
Learning & Teaching Modes
This course is delivered in intensive mode at NAAEC as two seperate weekend activities. Students are expected to undertake study and assessment work between these sessions, as well as working up to a final examination conducted as a separate activity after the second weekend.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. You will need to allocate up to 60 hours to work on the assignments and tutorials.Learning Activities Summary
Areas covered include finite state automata, GUI concepts, GUI development and design patterns. A detailed list may be found at https://cs.adelaide.edu.au/~third/edc/Specific Course Requirements
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Assessment
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment Summary
The assessment will comprise two parts:
Three programming exercises (10%+10%+10%); and
A final exam (70%).Assessment Detail
All practical assignments require you to write programs, which 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.
To encourage you to test your own program, access to the tester may be limited to a fixed number of test runs.
The first test run will occur on the due date for the execise, and the subsequent two runs will be at about 4-day intervals afterwards.
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.
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.Submission
All practical assignments must be submitted using the School of Computer Science online Submission System.
Details are included in each assignment description on the course website.
At the time of submission, some elementary tests will be run to ensure that your program is fundamentally OK.
If you fail any of the handin tests, you will likely fail almost all of the real tests.
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 .
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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.
You can find the latest SELT survey results on the course website, here:
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Student Support
- Academic Integrity for Students
- Academic Support with Maths
- Academic Support with writing and study skills
- Careers Services
- Library Services for Students
- LinkedIn Learning
- Student Life Counselling Support - Personal counselling for issues affecting study
- Students with a Disability - Alternative academic arrangements
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Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangements Policy
- Academic Integrity Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs Policy
- Copyright Compliance Policy
- Coursework Academic Programs Policy
- Intellectual Property Policy
- IT Acceptable Use and Security Policy
- Modified Arrangements for Coursework Assessment Policy
- Reasonable Adjustments to Learning, Teaching & Assessment for Students with a Disability Policy
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
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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.
