Course Coordinator:Erica Mealy (emealy@usc.edu.au) School:School of Science, Technology and Engineering
UniSC Moreton Bay |
Blended learning | Most of your course is on campus but you may be able to do some components of this course online. |
Please go to unisc.edu.au for up to date information on the
teaching sessions and campuses where this course is usually offered.
This course immerses you in the field of Computer Science (CS), through an industry-like team environment that will encourage active application of major CS topics including ethics, project management, systems design, UML, databases, computer organisation, operating systems, algorithms, cybersecurity, artificial intelligence, and boolean logic and algebra. By providing a high-level picture of the CS industry, this course gives a taste of what you can expect to encounter throughout your Computer Science degree and beyond.
| Activity | Hours | Beginning Week | Frequency |
| Blended learning | |||
| Learning materials – Asynchronous online learning materials | 2hrs | Week 1 | 12 times |
| Seminar – Whole of course meeting | 1hr | Week 1 | 4 times |
| Tutorial/Workshop 1 – On-campus Theory workshop | 1hr | Week 1 | 10 times |
| Tutorial/Workshop 2 – On-campus Computer Workshop - project | 2hrs | Week 4 | 9 times |
100 Level (Introductory)
12 units
| Course Learning Outcomes On successful completion of this course, you should be able to... | Graduate Qualities Completing these tasks successfully will contribute to you becoming... | |
| 1 | Demonstrate knowledge of computing fundamentals. | Knowledgeable |
| 2 | Design solutions to computing problems. | Creative and critical thinker |
| 3 | Work as part of a team to communicate computing activities through a written specification, design and implementation report. | Engaged |
| 4 | Demonstrate an appreciation of the impact of computing in a range of settings. | Sustainability-focussed |
| 5 | Demonstrate an understanding of ethical issues in computing and cultural considerations in the production of computer applications. | Ethical |
Refer to the UniSC Glossary of terms for definitions of “pre-requisites, co-requisites and anti-requisites”.
ICT112
Not applicable
Not applicable
Not applicable
Not applicable
Standard Grading (GRD)
| High Distinction (HD), Distinction (DN), Credit (CR), Pass (PS), Fail (FL). |
Weekly tutorial assessments in Task 1 will provide students with summative feedback weekly from weeks 1 – 10. Additionally, the group assessment in Task 2 will be designed to have regular formative feedback milestones that students are encouraged to submit their work. students are encouraged to submit their work.
| Delivery mode | Task No. | Assessment Product | Individual or Group | Weighting % | What is the duration / length? | When should I submit? | Where should I submit it? |
| All | 1 | Portfolio | Individual | 25% | 1000 words total |
Throughout teaching period (refer to Format) | Online Assignment Submission with plagiarism check |
| All | 2 | Case Study | Individual | 40% | 1500 words |
Week 11 | Online Assignment Submission with plagiarism check |
| All | 3 | Oral and Written Piece | Group | 35% | 2000 total words each including report and any code plus team presentations of 5 - 10 minutes (approx 1000 words) |
Refer to Format | Online Assignment Submission with plagiarism check |
| All - Assessment Task 1:Portfolio The WIRED world | |||||||||||||||||||
| Goal: | This portfolio task will develop your appreciation of the complexities and ethical nuances that emerge in computer science. You will apply course theoretical and practical computing fundamentals and processes to everyday computer science issues. |
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| Product: | Portfolio | ||||||||||||||||||
| Authorship Statement: | |||||||||||||||||||
| Format: | Submit: Weekly in tutorial. Weeks 1 -10 You will submit weekly responses to stimulus materials provided in the Canvas Learning Materials. The portfolio will then be marked based on completion and a final reflection of this portfolio based on the stated criteria. |
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| Criteria: |
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| Generic Skills: | |||||||||||||||||||
| All - Assessment Task 2:Case Study Ethics | |||||||||||||
| Goal: | You will explore a specific ethical case study and demonstrate an understanding of ethical and societal considerations for computer science design and development. |
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| Product: | Case Study | ||||||||||||
| Authorship Statement: | |||||||||||||
| Format: | Academic product Individual 1500 words Written report on identified case study of societal and ethical significance. Topics will be available in the Task 3 Assessment folder. |
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| Criteria: |
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| Generic Skills: | Communication, Problem solving |
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| All - Assessment Task 3:Group Design and Programming Assignment | ||||||||||||||||||||||
| Goal: | This is an industry-based simulation task to immerse you into a CS industry environment. You will work in a team through a guided development process developing a group-based computing application, from beginning to end. You will be responsible for specific elements of this project and will be assessed based on specific contributions to the team and collaboration skills. |
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| Product: | Oral and Written Piece | |||||||||||||||||||||
| Authorship Statement: | ||||||||||||||||||||||
| Format: | Submit: Final Due Exam block, Formative Milestones as Advised on Canvas. Professional product Group assessment including: Oral, Report and Application program. The group will create a set of team management procedures and processes, system specifications and design document, and project implementation for a provided stakeholder description. |
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| Criteria: |
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| Generic Skills: | Communication, Collaboration, Problem solving, Organisation, Applying technologies, Information literacy |
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A 12-unit course will have total of 150 learning hours which will include directed study hours (including online if required), self-directed learning and completion of assessable tasks. Student workload is calculated at 12.5 learning hours per one unit.
Please note: Course information, including specific information of recommended readings, learning activities, resources, weekly readings, etc. are available on the course Canvas site– Please log in as soon as possible.
You need regular access to the resource(s) below. Many texts are available as ebooks through the Library at no additional cost.
| Required? | Author | Year | Title | Edition | Publisher |
| Recommended | Behrouz Forouzan | 2018 | Foundations of Computer Science | 4th Edition | n/a |
| Recommended | George Reynolds | 2018 | Ethics in Information Technology | 6th Edition | Cengage Learning |
| Recommended | Kathy Schwalbe | 2018 | Information Technology Project Management | 9th Edition | Cengage Learning |
Access to computer.
Academic integrity is the ethical standard of university participation. It ensures that students graduate as a result of proving they are competent in their discipline. This is integral in maintaining the value of academic qualifications. Each industry has expectations and standards of the skills and knowledge within that discipline and these are reflected in assessment.
Academic integrity means that you do not engage in any activity that is considered to be academic fraud; including plagiarism, collusion or outsourcing any part of any assessment item to any other person. You are expected to be honest and ethical by completing all work yourself and indicating in your work which ideas and information were developed by you and which were taken from others. You cannot provide your assessment work to others. You are also expected to provide evidence of wide and critical reading, usually by using appropriate academic references.
In order to minimise incidents of academic fraud, this course may require that some of its assessment tasks, when submitted to Canvas, are electronically checked through Turnitin. This software allows for text comparisons to be made between your submitted assessment item and all other work to which Turnitin has access.
Eligibility for Supplementary Assessment
Your eligibility for supplementary assessment in a course is dependent of the following conditions applying:
(a) The final mark is in the percentage range 47% to 49.4%; and
(b) The course is graded using the Standard Grading scale
Late submissions may be penalised up to and including the following maximum percentage of the assessment task’s identified value, with weekdays and weekends included in the calculation of days late:
(a) One day: deduct 5%;
(b) Two days: deduct 10%;
(c) Three days: deduct 20%;
(d) Four days: deduct 40%;
(e) Five days: deduct 60%;
(f) Six days: deduct 80%;
(g) Seven days: A result of zero is awarded for the assessment task.
The following penalties will apply for a late submission for an online examination:
Less than 15 minutes: No penalty
From 15 minutes to 30 minutes: 20% penalty
More than 30 minutes: 100% penalty
For more information on Academic Learning & Teaching categories including:
For more information, visit https://www.usc.edu.au/explore/policies-and-procedures#academic-learning-and-teaching
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For course-specific questions, contact your teaching staff or Course Coordinator.
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