Digital Signal Processing G (10095.3)
|Available teaching periods
|View teaching periods
| Bruce, Canberra
|Faculty Of Science And Technology
|Academic Program Area - Technology
| Band 2 2021 (Commenced After 1 Jan 2021)
Band 3 2021 (Commenced Before 1 Jan 2021)
Learning outcomesOn 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 attributes1. UC graduates are professional - communicate effectively
1. 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
Incompatible units10003 Digital Signal Processing.
|Teaching start date
|05 February 2024
|Dr Maryam Ghahramani
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, 1975. ISBN: 9780132146357.
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
To obtain a particular grade in this unit, it is necessary that there are no outstanding submissions at the end of week 14. The unit convener reserves the right to question students orally on any of their submitted work.
In order to pass this unit, students need to:
1- Submit all three main assessment items: first assessment, research paper, and final assessment.
2- Achieve minimum 50% of combined weighted marks of all assessment items
3- Achieve Minimum 50% of the final assessment.
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:
Minimum 50% of combined weighted marks of all assessment items
Minimum 65% of combined weighted marks of all assessment items
Minimum 75% of combined weighted marks of all assessment items
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 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.
Expected Average Student Workload: * denotes an assessable item
- Lectures: 12 x 2h =24h
- Tutorials/Computer Labs 10x2h =20h
- Preparation (lectures, tutorials, computer labs, reading) 12 x 3h =36h
- * Mid-semester Assessment =15h
- * Research Paper =25h
- * Final Assessment =30h
Total 150 hours
To get the most out of unit, students are highly recommended to actively participate in the lectures as well as the tutorials.
Tutorial and Lab Attendance is compulsary and will count towards 5% of the total mark.
Required IT skills
Basic Programming Skills in Matlab, Python, and use of Arduino.
Students might consider purchasing refrence textbooks which can cost $100-$400, depending upon the condition of the book (new, used) and number of refrence books.
One of the refrence text books is freely available on Canvas.
Work placement, internships or practicums