Signals and Systems G (10093.2)
|Available teaching periods||Delivery mode||Location|
|View teaching periods|| On-Campus
|| UC - Canberra, Bruce
|0.125||3||Faculty Of Science And Technology|
|Discipline||Study level||HECS Bands|
|Academic Program Area - Technology||Graduate Level|| Band 2 2013-2020 (Expires 31 Dec 2020)
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. Apply MATLAB for the solution of numerical problems in linear algebra, statistics, probability theory, sampling and quantisation. They will be able to interpret and utilise the important probability distribution functions, and apply appropriate statistical methodology; and
2. Utilise and apply sinusoids and exponentials as requisite and fundamental building blocks in the description of analog circuits and continuous systems, and in the representation of signals in the frequency domain. They will be able to interpret and evaluate the continuous and/or discrete sampling processes and apply strategies to avoid the problems of aliasing.
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 - take pride in their professional and personal integrity
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 - adopt an informed and balanced approach across professional and international boundaries
2. UC graduates are global citizens - behave ethically and sustainably in their professional and personal lives
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
|Year||Location||Teaching period||Teaching start date||Delivery mode||Unit convener|
|2021||UC - Canberra, Bruce||Semester 2||02 August 2021||On-Campus||Dr Maryam Ghahramani|
|2022||UC - Canberra, Bruce||Semester 2||01 August 2022||On-Campus||Dr Maryam Ghahramani|
McClellan, Shafer & Yoder. Signal Processing First. Prentice Hall, 2003, ISBN 0-13-090999-8
Submission of assessment items
Extensions & Late submissions
Where possible, all assessment items will be submitted online via the UCLearn (Canvas) unit site. The first page of each assessment item should include the following information:
- Student ID:
- Assessment Name:
- Word Count (if applicable):
Students should note that names are not to be included on any assessment tasks/submissions. Only Student ID numbers should be included (as per the Assessment Policy and Procedures).
Assessment items must be submitted to the assignment area in the unit's UCLearn site, relating to that piece of assessment. It is the student's responsibility to upload the correct and corresponding draft or assessment item, to the right submission section.
Late submissions will only be accepted for a limited period. If more than one late submission is made within that period, only the first late submission will be accepted for marking and may be subject to penalties as detailed in the Assessment Procedures.
Students can apply for an extension to the submission due date for an assessment item through extenuating, evidenced circumstances (specific details are found through the Assessment Policy and Procedures. Section 9.12). Extensions must be applied for before the due date. Documentary evidence (e.g. medical certificate) will be expected for an extension to be granted, however this will not guarantee that the application will be successful. The Unit Convener or relevant Discipline Convener will decide whether to grant an extension and the length of the extension.
An Assignment Extension form is available from the Student Forms page.
Late submission of assignments without an approved extension will result in a penalty of 5% reduced marks from the total available, per calendar day late. An assignment submitted over 7 days late will not be accepted.
Extensions: Extensions must be applied for before the due date.
Assessments and Lab report are meant to be individual work, although talking a problem over with another student or tutor is considered one reasonable way of learning. However, the actual submitted assignment must be the student's own work. Students are expected to familiarise themselves with the University's Student Academic Integrity Policy. Experience has shown that students who do not do their own work are unlikely to pass the exam (and therefore the unit).
Assessments and Lab report will be submitted electronically through the Unit Website interface on UC Learn (Canvas). Submissions must be done in PDF format to avoid problems in reading documents made on different platforms / using different software. However, codes and simulations are expected to be compiled and uploaded as a plain text file.
Assignment submissions will be assessed for addressing the specific requirements of each assignment, as stated in the assignment descriptions. Assignment submissions will receive a numerical mark, which together in their entirety with the other assessment items (test, exam) define a student's final grade as outlined below.
Special assessment requirements
An aggregate mark of 50% is required to pass the unit in addition to achieving at least 50% in the final examination.
The unit convener reserves the right to question students orally on any of their submitted work and modify the mark/grade accordingly if needed.
Assignments + Exam
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
Expected Average Student Workload:
Preparation (laboratories) 19h
Homework / Lab reports 40h
Mid semester test 20h
Final Exam (incl. preparation) 25h
Total: 150 Hours
Students are expected to attend/watch all lectures, virtual tutorial and laboratory classes. Engagement with the activity in tutorials and laboratory classes will assist your preparation for the assessment tasks. Participation in both class and online activities will enhance understanding of the unit content and therefore the quality of the assessment responses. Experience has shown that students who do not attend these will have difficulty in passing the subject.
Required IT skills
Word processing and basic programming ability for the use of MATLAB (lecturer will assist with MATLAB)
Work placement, internships or practicums
Not applicable to this unit
- 8235 Signals and Systems.