Digital Signal Processing G (10095.3)
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 |
Academic Program Area - Technology | Graduate Level | Band 2 2021 (Commenced After 1 Jan 2021) Band 3 2021 (Commenced Before 1 Jan 2021) |
Learning outcomes
On successful completion of this unit, students will be able to:1. Demonstrate advanced knowledge of fundamental theories of digital signal processing;
2. Apply spectrum analysis techniques to critically analyse and process continuous, discrete and analogue and digital signals;
3. Develop digital signal processing systems using contemporary software and hardware techniques;
4. Conduct independent research and advanced analysis of complex signal processing problems; and
5. Apply advanced mathematical techniques and software tools to develop novel solutions to complex signals-based problems.
Graduate attributes
1. UC graduates are professional - communicate effectively1. UC graduates are professional - display initiative and drive, and use their organisation skills to plan and manage their workload
1. UC graduates are professional - employ up-to-date and relevant knowledge and skills
1. 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 - communicate effectively in diverse cultural and social settings
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
Prerequisites
None.Corequisites
None.Incompatible units
10003 Digital Signal Processing.Equivalent units
None.Assumed knowledge
None.Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
---|---|---|---|---|---|
2025 | Bruce, Canberra | Semester 2 | 28 July 2025 | On-campus | Dr Maryam Ghahramani |
2026 | Bruce, Canberra | Semester 2 | 10 August 2026 | On-campus | Dr Maryam Ghahramani |
Required texts
We will not follow any text book chapter by chapter. The books mentioned below are for reference and further reading to develop a thorough understanding of the material.
Digital Signal Processing by Oppenheim, Alan V., and Ronald W. Schafer. Prentice Hall
DSP First: A Multimedia Approach by James H. McClellan, Ronald W. Schafer, Mark A. Yoder
Signal Processing for Communications by Paolo Prandoni and Martin Vetterli
Submission of assessment items
Extensions & Late submissions
All the assessments will need to adhere to a particular format as specified on the unit's Canvas site and submitted electronically via Canvas.
Detailed rubrics will be provided for each assessment.
Special assessment requirements
All assessment items will receive a numerical mark. The final grade will be determined as a weighted average of the individual assessment items.
To be awarded a particular grade in DSP, students must meet the overall requirements, individual requirements for each assessment item set out in the table below. All grades are conditional upon the following minimum requirements:
Grade |
All assessment |
Pass |
Minimum 50% of combined weighted marks of all assessment items |
Credit |
Minimum 65% of combined weighted marks of all assessment items |
Distinction |
Minimum 75% of combined weighted marks of all assessment items |
High Distinction |
Minimum 85% of combined weighted marks of all assessment items |
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 Academic Integrity Module 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 Academic Integrity Policy, Academic Integrity Procedure, and University of Canberra (Student Conduct) Rules 2023. For further advice, visit Study Skills.
Learner engagement
Expected Average Student Workload: * denotes an assessable item
- Lectures: 12 x 2h =24h
- Tutorials/Computer Labs 11x2h =22h
- Preparation (lectures, tutorials, computer labs, reading) 12 x 4h =48h
- Assessment and Lab Report Part 1 =14h
- Research Paper =24h
- Assessment and Lab Report Part 2 =18h
Total 150 hours
Participation requirements
To get the most out of unit, students are highly recommended to actively participate in the lectures as well as the tutorials.
Not attending or actively participating in tutorial sessions will impact your performance and marks in Assessment and Lab Report.
Required IT skills
Basic Programming Skills in Matlab, Python
Work placement, internships or practicums
None