Introduction to Computer Engineering (8223.4)
|Available teaching periods||Delivery mode||Location|
|View teaching periods|| On-Campus
|| Bruce, Canberra
|0.125||3||Faculty Of Science And Technology|
|Discipline||Study level||HECS Bands|
|Academic Program Area - Technology||Level 1 - Undergraduate Introductory Unit|| Band 2 2021 (Commenced After 1 Jan 2021)
Band 3 2021 (Commenced Before 1 Jan 2021)
This unit may be cotaught with 10096 Introduction to Computer Engineering G.
Learning outcomesOn successful completion of this unit, students will be able to:
1. Have an appreciation of the nature of the engineering profession by being able to understand and confidently manipulate discrete mathematical entities;
2. Deal with different systems of numbers and codes;
3. Describe, analyse, and synthetise logic circuits;
4. Acquire an awareness of the elements of good design practices by analysing and designing combinational and sequential logic circuits;
5. Verify circuits operation by using CAD tools and hands-on laboratories; and
6. Integrate the different pieces of knowledge acquired in this unit to synthesise a robotic application through the successful completion of a digital system project.
Graduate attributes1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
3. UC graduates are lifelong learners - adapt to complexity, ambiguity and change by being flexible and keen to engage with new ideas
Incompatible units10096 Introduction to Computer Engineering G.
Assumed knowledgeAdvanced Mathematics Extended (T) major, English (T) major and Physics (T) major, and for NSW, 2u English, 3u Mathematics and 2u Physics.
|Year||Location||Teaching period||Teaching start date||Delivery mode||Unit convener|
|2023||Bruce, Canberra||Semester 2||31 July 2023||On-Campus||Dr Julio Romero|
|2024||Bruce, Canberra||Semester 2||29 July 2024||On-Campus||Dr Shahid Hussain|
Digital Systems: Principles and Applications
Pearson custom library
Robotics, Vision and Control: Fundamental Algorithms In MATLAB® Second, Completely Revised, Extended And Updated Edition
Springer Tracts in Advanced Robotics
Springer International Publishing
Practical Electronics for Inventors, Fourth Edition
McGraw Hill LLC
Programming and Customizing the PIC Microcontroller
McGraw Hill professional
McGraw Hill LLC
Artificial Intelligence: A Modern Approach
Discrete Mathematics with Applications
Available for purchase in the University's Co-op bookshop. A limited number of copies of this book are also available from the library.
Submission of assessment items
Special assessment requirements
The ICE unit uses both formative and summative forms of assessment. Students are required to satisfactorily complete a number of assignments and assessable items. Specifications for the assignments and requirements for satisfactory completion are given on the ICE unit website on Canvas (LearnOnline).
Assignment submissions will be assessed for addressing the specific requirements of each assignment, as stated in the assignment descriptions, as well as for employing good programming principles. All assessment items will receive a numerical mark, which together in their entirety define a student's final grade and mark as outlined in section 5a.
Responsibility for understanding
If there is any doubt with regard to the requirements of any particular assignments or assessment procedure, the onus for clarifying the issue rests with the student who should
contact the unit Convener or tutor. Further, it is the responsibility of students to ensure that they are correctly enrolled in the unit and that the tutor and Student Administration have their correct contact details.
Final Grade and Mark
To obtain a particular grade in this unit it is necessary that there are no outstanding resubmissions at the end of Week 13. All assessment items will receive a numerical mark. The final grade will be determined as a weighted average of the individual assessment items as follows:
Final grade = (Assignment 1 mark + Assignment 2 mark +Assignment 3 mark + Mid-Term Online Test) x 0.25
(note that the marks for each assessment are scaled to 100 before performing this calculation)
To be awarded a particular grade in ICE, students must meet all the requirements listed below. That is, all grades are conditional upon the following minimum requirements:
- achieve a minimum 50% overall, and
- achieve at least 50% in each Assignment (1, 2, and 3).
Finally, the following criteria also apply:
Assignments + Exam
Minimum 50% of combined weighted marks of all assessment items
Minimum 65% combined weighted marks of all assessment items
Minimum 75% combined weighted score of all assessment item
Minimum 85% combined weighted score of all assessment item
The unit convenor reserves the right to question students on any of their submitted work for moderation and academic integrity purposes, which may result in an adjustment to the marks awarded for a specific task.
Students have a responsibility to uphold University standards on ethical scholarship. Good scholarship involves building on the work of others and use of others' work must be acknowledged with proper attribution made. Cheating, plagiarism, and falsification of data are dishonest practices that contravene academic values. Refer to the University's Student Charter for more information.
To enhance understanding of academic integrity, all students are expected to complete the Academic Integrity Module (AIM) at least once during their course of study. You can access this module within UCLearn (Canvas) through the 'Academic Integrity and Avoiding Plagiarism' link in the Study Help site.
Use of Text-Matching Software
The University of Canberra uses text-matching software to help students and staff reduce plagiarism and improve understanding of academic integrity. The software matches submitted text in student assignments against material from various sources: the internet, published books and journals, and previously submitted student texts.
Suggested average student workload:
Lectures (2h lecture + 0.5h preparation) 12h x 2h + 6h = 30h
Laboratories (2h lab + 3h preparation) 10h x 2h + 30h = 50h
Laboratory Assignments (Part 1 + Part 2 ) 10h + 10h = 20h
Digital Systems Project (preparation + report) = 40h
Mid semester test (incl. preparation) = 10h
Total: 150 Hours
Student participation in lectures, tutorials, laboratories, and online activities will enhance the student's understanding of the unit content and therefore the quality of assessment responses. Lack of participation may result in the student's inability to satisfactorily pass assessment items.
Required IT skills
Students should make themselves familiar with PC usage. In particular, it is expected that students are able to manipulate files (copying, pasting,create and manipulate ZIP files) and install / run software in Linux, Mac, or Windows (XP, 7, 8) operating systems. Basic familiarity in a programming language (e.g. C++, Java, Python) will be useful but not compulsory.
This unit involves online meetings in real time using the Virtual Room in your UCLearn teaching site. The Virtual Room allows you to communicate in real time with your lecturer and other students. To participate verbally, rather than just typing, you will need a microphone. For best audio quality we recommend a microphone and speaker headset. For more information and to test your computer, go to the Virtual Room in your UCLearn site and 'Join Course Room'. This will trigger a tutorial to help familiarise you with the functionality of the virtual room.
Work placement, internships or practicums
- Semester 2, 2023, On-Campus, UC - Canberra, Bruce (213736)
- Semester 2, 2022, On-Campus, UC - Canberra, Bruce (207275)
- Semester 2, 2021, On-Campus, UC - Canberra, Bruce (202124)
- Semester 2, 2020, On-Campus, UC - Canberra, Bruce (195636)
- Semester 2, 2019, On-Campus, UC - Canberra, Bruce (185380)
- Semester 2, 2018, On-Campus, UC - Canberra, Bruce (182159)