Communication Theory (12068.1)
| Available teaching periods | Delivery mode | Location |
|---|---|---|
| View teaching periods | On-campus |
Bruce, Canberra |
| EFTSL | Credit points | Faculty |
| 0.125 | 3 | Faculty Of Science And Technology |
| Discipline | Study level | HECS Bands |
| School Of Information Technology & Systems | Level 1 - Undergraduate Introductory Unit | Band 2 2021 (Commenced After 1 Jan 2021) Band 3 2021 (Commenced Before 1 Jan 2021) |
Learning outcomes
Upon successful completion of this unit, students will be able to:1. Demonstrate understanding of fundamental communication system knowledge and theories, including the sampling theorem, analog-to-digital (A/D) conversion, coding systems, channel capacity and Shannon's equation;
2. Evaluate major signal modulations and filtering methods in order to enhance signal output, factoring in an understanding error, noise, random processes, and mathematical workings;
3. Apply foundational technical skills and communication theory knowledge in completing effective laboratory activities; and
4. Communicate and report on experimental results, mathematical functions, and signal manipulations involved in the process of problem solving.
Graduate attributes
1. UC graduates are professional - employ up-to-date and relevant knowledge and skills1. UC graduates are professional - communicate effectively
1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
1. UC graduates are professional - work collaboratively as part of a team, negotiate, and resolve conflict
3. UC graduates are lifelong learners - reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development
3. UC graduates are lifelong learners - be self-aware
3. UC graduates are lifelong learners - adapt to complexity, ambiguity and change by being flexible and keen to engage with new ideas
Prerequisites
None.Corequisites
None.Incompatible units
None.Equivalent units
None.Assumed knowledge
None.| Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
|---|---|---|---|---|---|
| 2026 | Bruce, Canberra | Semester 1 | 16 February 2026 | On-campus | Dr Md Farhad Hossain |
Required texts
Text Books:
- B. P. Lathi and Z. Ding, "Modern Digital and Analog Communication", 5th edition, Oxford University Press, New York.
Reference Book for Lab:
- K. Choi and H. Liu, "Problem-based Learning in Communication Systems Using MATLAB AND Simulink", IEEE Press, 2016
Submission of assessment items
Extensions & Late submissions
Artificial Intelligence:
Restricted - The use of GenAI is NOT allowed in completing the assessment. More detailed information can be found at GenAI and Assessment at UC.
Additional Information:
Submissions must be made in PDF format to avoid issues related to document compatibility across different platforms or software.
Unless otherwise specified, all assessments are intended to be individual work. While discussing problems with other students or the teaching staff is considered a legitimate and valuable learning activity, the work submitted for assessment must be the student's own. Experience has shown that students who do not complete their own works are unlikely to achieve a good grade.
Students are required to adhere to the University's Academic Integrity Policy, including regulations relating to plagiarism and the responsible use of AI tools.
Students must follow the instructions provided by the teaching team regarding the permitted and appropriate use of AI tools.
Special assessment requirements
Final Mark:
Assessment submissions will be evaluated based on how effectively they address the specific requirements outlined in each assessment description.
All assessment items will receive a numerical mark except the "MATLAB Onramp" Certificate. The final grade will be a weighted average of the individual assessment items.
Final Grade:
The final grade for the unit will be determined according to the following table:
| Marks | Grade |
|---|---|
| 85 <= Final mark <= 100 | HD |
| 75 <= Final mark <= 84 | DI |
| 65 <= Final mark <= 74 | CR |
| 50 <= Final mark <= 64 | P |
| 0 <= Final mark < 50 | Final grade (NX, NC, or NN) |
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 must apply academic integrity in their learning and research activities at UC. This includes submitting authentic and original work for assessments and properly acknowledging any sources used.
Academic integrity involves the ethical, honest and responsible use, creation and sharing of information. It is critical to the quality of higher education. Our academic integrity values are honesty, trust, fairness, respect, responsibility and courage.
UC students have to complete the annually to learn about academic integrity and to understand the consequences of academic integrity breaches (or academic misconduct).
UC uses various strategies and systems, including detection software, to identify potential breaches of academic integrity. Suspected breaches may be investigated, and action can be taken when misconduct is found to have occurred.
Information is provided in the , , and 海角射区 (Student Conduct) Rules 2023. For further advice, visit Study Skills.
Learner engagement
Expected Average Student Workload:
Lectures 24h
Lecture Reviews 12h
Laboratories + Preparation (laboratories) 16h
Tutorials + Preparation (Tutorials) 16h
MATLAB Certificate 3h
Weekly Quizzes 24h
Lab Report 25h
Final Assessment 30h
Total: 150 Hours
Participation requirements
In a nutshell, for effective learning in this unit, students are strongly recommended to attend all the lectures, tutorials and labs in person. If a student misses any lecture/tutorial/lab, the student should go through the missed materials (e.g., slides, recorded videos, tutorial/lab materials, etc.) ahead of the next week. This is because, the lectures/tutorials/labs of this unit are highly interlinked with each other. Missing any lecture/tutorial/lab will increase the difficulty to understand the following sessions.
This unit contains many new concepts, theories and analysis, which needs to be understood clearly and practiced. Engagement with the activities will assist the students to prepare for the assessment tasks.
Participation in lectures, tutorials and labs will enhance understanding of the unit contents and therefore the quality of the assessment responses. Experience has shown that students who do not complete their own works regularly face challenges to achieve a good grade.
Required IT skills
Basic programming skills for the use of MATLAB (Tutors will assist with MATLAB) and Simulink.
Work placement, internships or practicums
None
