Digital Signal Processing (12065.1)

Please note these are the 2025 details for this unit
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Digital Signal Processing
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 Level 3 - Undergraduate Advanced Unit Band 2 2021 (Commenced After 1 Jan 2021)
Band 3 2021 (Commenced Before 1 Jan 2021)
This unit covers fundamental theories and techniques for manipulating and analysing signals in the digital domain. Students learn about signal representations, sampling, filtering, modulation, and applications in audio, image, telecommunications, and biomedical engineering. Practical skills are developed using software tools like MATLAB/Python and hardware techniques. This unit may be cotaught with 10095 Digital Signal Processing G.

Learning outcomes

Upon successful completion of this unit, students will be able to:
1. Demonstrate an understanding of the fundamental theories of signal processing, including the properties of continuous and discrete signals, sampling theory, and analog-to-digital conversion;
2. Apply spectrum analysis techniques, such as the Laplace transform, z-transform, Fourier transform, and discrete Fourier transform, to analyse and process signals in both time and frequency domains;
3. Apply the concepts of spectrum analysis to periodic and non-periodic signals; and
4. Develop digital signal processing systems using contemporary software and hardware techniques.


Graduate attributes

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
1. UC graduates are professional - display initiative and drive, and use their organisation skills to plan and manage their workload
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

10087 Engineering Mathematics

Corequisites

None.

Incompatible units

10095 Digital Signal Processing G

Equivalent units

None.

Assumed knowledge

None.
Availability for enrolment in 2026 is subject to change and may not be confirmed until closer to the teaching start date.
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
The information provided should be used as a guide only. Timetables may not be finalised until week 2 of the teaching period and are subject to change. Search for the unit timetable.

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

  1. Lectures:                                                                                             12 x 2h                        =24h
  2. Tutorials/Computer Labs                                                                     11x2h                          =22h
  3. Preparation (lectures, tutorials, computer labs, reading)                    12 x 4h                        =48h
  4. Assessment and Lab Report Part 1                                                                                        =14h
  5.  Research Paper                                                                                                                     =24h
  6. 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

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