Course Outline
ELC200 Digital Logic and Computer Programming
Course Coordinator:Kenneth Ang (lang@usc.edu.au) School:School of Science, Technology and Engineering
2026Trimester 2
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.
What is this course about?
Description
The ability to program computers and electronic instrumentation is an important skill for engineers. This course will build on the introductory content. It will help you to increase your specific understanding and knowledge of algorithms, data types and digital logic to develop more complex computer programming applications using the C programming language. This course will also provide you the knowledge on understanding arithmetic components and microcontroller architectures.
How will this course be delivered?
| Activity | Hours | Beginning Week | Frequency |
| Blended learning | |||
| Learning materials – Asynchronous Learning Material | 1hr | Week 1 | 12 times |
| Tutorial/Workshop 1 – On Campus tutorial | 2hrs | Week 1 | 10 times |
| Laboratory 1 – On campus lab | 2hrs | Week 4 | 5 times |
| Seminar – On campus seminar | 1hr | Week 1 | Once Only |
Course Topics
Topics may include:
- Logic Gates and Boolean Expression
- Universal Gates and Karnaugh Maps
- Latches and Flip Flops
- Counters
- Arithmetic Circuits and Microcontroller Architectures
- Programming and Data Types in C
- Functions in C
- Selection Statements in C
- Loop Statements in C
- Pointers and Arrays
- Dynamic Data Structures
What level is this course?
200 Level (Developing)
What is the unit value of this course?
12 units
How does this course contribute to my learning?
| Course Learning Outcomes On successful completion of this course, you should be able to... | Graduate Qualities Mapping Completing these tasks successfully will contribute to you becoming... | Professional Standard Mapping * Competencies from multiple Professional Bodies (see below) * | |
| 1 | Demonstrate fundamental digital logic theory and knowledge of mathematical principles in the operation of logic circuits. | Knowledgeable |
1, 1, 1.2.a, 1.2.a, 1.3.a, 1.3.a, 1.2, 1.2, 1.3, 1.3 |
| 2 | Apply practical skills and digital logic and computer programming for problem solving. | Empowered |
2.2.a, 2.2.a, 2.2.b, 2.2.b, 2.1, 2.1, 2.2, 2.2 |
| 3 | Select appropriate programming elements and constructs to design and build a range of computer programs. | Empowered |
1.2.a, 1.2.a, 1.2, 1.2 |
| 4 | Work collaboratively in teams to design computer programs and simple digital circuits to meet specified requirements. | Engaged |
3.6.a, 3.6.a, 3.6, 3.6 |
| 5 | Communicate ideas and designs using appropriate engineering terminology, symbols and illustrations. | Engaged |
3.2, 3.2 |
* Competencies by Professional Body
| CODE | COMPETENCY |
| Engineers Australia Stage 1 Engineering Technologist Competency Standards | |
| 1 | Elements of competency: Knowledge and Skill Base |
| 1.2.a | Knowledge and Skill Base - Conceptual understanding of the, mathematics, numerical analysis, statistics, and computer and information sciences which underpin the technology domain: Fluently applies relevant investigation, analysis, interpretation, assessment, characterisation, prediction, evaluation, modelling, decision making, measurement, evaluation, knowledge management and communication tools and techniques pertinent to the technology domain. |
| 1.3.a | Knowledge and Skill Base - In-depth understanding of specialist bodies of knowledge within the technology domain: Proficiently applies advanced technical knowledge and skills to deliver engineering outcomes in specialist area(s) of the technology domain and associated industry, commercial and community sectors. |
| 1.2 | Knowledge and Skill Base: Conceptual understanding of the, mathematics, numerical analysis, statistics, and computer and information sciences which underpin the technology domain. |
| 1.3 | Knowledge and Skill Base: In-depth understanding of specialist bodies of knowledge within the technology domain. |
| 2.2.a | Engineering Application Ability - Application of engineering techniques, tools and resources within the technology domain: Proficiently identifies, selects and applies the materials, components, devices, systems, processes, resources, plant and equipment relevant to the technology domain. |
| 2.2.b | Engineering Application Ability - Application of engineering techniques, tools and resources within the technology domain: Understands the principles, limitations and accuracy of mathematical, physical or computational modelling. |
| 2.1 | Engineering Application Ability: Application of established engineering methods to broadly-defined problem solving within the technology domain. |
| 2.2 | Engineering Application Ability: Application of engineering techniques, tools and resources within the technology domain. |
| 3.6.a | Professional and Personal Attributes - Effective team membership and team leadership: Understands the fundamentals of team dynamics and leadership. |
| 3.2 | Professional and Personal Attributes: Effective oral and written communication in professional and lay domains. |
| 3.6 | Professional and Personal Attributes: Effective team membership and team leadership. |
| Engineers Australia Stage 1 Professional Engineer Competency Standards | |
| 1 | Elements of competency: Knowledge and Skill Base |
| 1.2.a | Knowledge and Skill Base - Conceptual understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline: Develops and fluently applies relevant investigation analysis, interpretation, assessment, characterisation, prediction, evaluation, modelling, decision making, measurement, evaluation, knowledge management and communication tools and techniques pertinent to the engineering discipline. |
| 1.3.a | Knowledge and Skill Base - In-depth understanding of specialist bodies of knowledge within the engineering discipline: Proficiently applies advanced technical knowledge and skills in at least one specialist practice domain of the engineering discipline. |
| 1.2 | Knowledge and Skill Base: Conceptual understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline. |
| 1.3 | Knowledge and Skill Base: In-depth understanding of specialist bodies of knowledge within the engineering discipline. |
| 2.2.a | Engineering Application Ability - Fluent application of engineering techniques, tools and resources: Proficiently identifies, selects and applies the materials, components, devices, systems, processes, resources, plant and equipment relevant to the engineering discipline. |
| 2.2.b | Engineering Application Ability - Fluent application of engineering techniques, tools and resources: Constructs or selects and applies from a qualitative description of a phenomenon, process, system, component or device a mathematical, physical or computational model based on fundamental scientific principles and justifiable simplifying assumptions. |
| 2.1 | Engineering Application Ability: Application of established engineering methods to complex engineering problem solving. |
| 2.2 | Engineering Application Ability: Fluent application of engineering techniques, tools and resources. |
| 3.6.a | Professional and Personal Attributes - Effective team membership and team leadership: Understands the fundamentals of team dynamics and leadership. |
| 3.2 | Professional and Personal Attributes: Effective oral and written communication in professional and lay domains. |
| 3.6 | Professional and Personal Attributes: Effective team membership and team leadership. |
Am I eligible to enrol in this course?
Refer to the UniSC Glossary of terms for definitions of “pre-requisites, co-requisites and anti-requisites”.
Pre-requisites
ENG103 or ENG106
Co-requisites
Not applicable
Anti-requisites
Not applicable
Specific assumed prior knowledge and skills (where applicable)
Not applicable
Microcredential Information
Not applicable
How am I going to be assessed?
Grading Scale
Standard Grading (GRD)
| High Distinction (HD), Distinction (DN), Credit (CR), Pass (PS), Fail (FL). |
Details of early feedback on progress
Performance and feedback from the workshop tasks will demonstrate the level of proficiency and understanding of the course material.
Assessment tasks
| 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 | Practical / Laboratory Skills, and Written Piece | Group | 30% | 1500 words |
Week 7 | Online Assignment Submission with plagiarism check |
| All | 2 | Quiz/zes | Individual | 30% | 6 x quizzes |
Throughout teaching period (refer to Format) | Online Assignment Submission with plagiarism check |
| All | 3 | Examination - Centrally Scheduled | Individual | 40% | 2 hours |
Exam Period | Online Assignment Submission with plagiarism check |
| All - Assessment Task 1:Project | |||||||||||||||||||
| Goal: | Experimental work and / or projects to verify students ability to apply knowledge and skills acquired in the course. |
||||||||||||||||||
| Product: | Practical / Laboratory Skills, and Written Piece | ||||||||||||||||||
| Authorship Statement: | |||||||||||||||||||
| Format: | Experimental work and / or projects to verify students ability to apply knowledge and skills acquired in the course. |
||||||||||||||||||
| Criteria: |
|
||||||||||||||||||
| Generic Skills: | Collaboration, Problem solving, Organisation, Applying technologies, Information literacy |
||||||||||||||||||
| All - Assessment Task 2:Quizzes | ||||||||||
| Goal: | Relevant tasks and problems to enforce understanding of the students and help in gradual development of knowledge and skills throughout the course. |
|||||||||
| Product: | Quiz/zes | |||||||||
| Authorship Statement: | ||||||||||
| Format: | Relevant tasks and problems to enforce understanding of the students and help in gradual development of knowledge and skills throughout the course. Weeks 2, 4, 6, 8, 10 & 12. |
|||||||||
| Criteria: |
|
|||||||||
| Generic Skills: | Problem solving, Organisation |
|||||||||
| All - Assessment Task 3:Final exam | |||||||||||||
| Goal: | Questions and problems related to the materials covered in the course. |
||||||||||||
| Product: | Examination - Centrally Scheduled | ||||||||||||
| Authorship Statement: | |||||||||||||
| Format: | Questions and problems related to the materials covered in the course. |
||||||||||||
| Criteria: |
|
||||||||||||
| Generic Skills: | Communication, Problem solving, Organisation, Applying technologies, Information literacy |
||||||||||||
Directed study hours
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.
What resources do I need to undertake this course?
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.
Prescribed text(s) or course reader
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 | Jeri R. Hanly,Elliot B. Koffman,Mohit P. Tahiliani | 0 | Problem Solving and Program Design in C, Global Edition | 8th Edition | n/a |
| Recommended | Neal S. Widmer,Ronald J. Tocci,Gregory L. Moss | 0 | Digital Systems | n/a | n/a |
Specific requirements
Fully enclosed shoes must be worn in the engineering laboratory. If you do not have the correct shoes you will not be allowed to do the practical. You must also undertake the laboratory induction before you can undertake any practical.
How are risks managed in this course?
What administrative information is relevant to this course?
Assessment: Academic Integrity
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.
Assessment: Additional Requirements
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
Assessment: Submission penalties
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
Links to relevant University policy and procedures
For more information on Academic Learning & Teaching categories including:
- Assessment: Courses and Coursework Programs
- Review of Assessment and Final Grades
- Supplementary Assessment
- Central Examinations
- Deferred Examinations
- Student Conduct
- Students with a Disability
For more information, visit https://www.usc.edu.au/explore/policies-and-procedures#academic-learning-and-teaching
Student Charter
UniSC is committed to excellence in teaching, research and engagement in an environment that is inclusive, inspiring, safe and respectful. The Student Charter sets out what students can expect from the University, and what in turn is expected of students, to achieve these outcomes.
General Enquiries
For course-specific questions, contact your teaching staff or Course Coordinator.
For other enquiries or to access support, please contact Student Central: