Signals and Systems (8235.3)

Please note these are the 2018 details for this unit
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Signals and Systems
Available teaching periods Delivery mode Location
View teaching periods
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 introduces the concepts of signal processing including transformations between continuous and discrete signals, time and frequency domains using Fourier series and Fourier transforms, and the characterisation of linear systems via the Laplace transform. Statistical methods, random variables, probability theory and applications are be covered.
This unit may be cotaught with 10093 Signals and Systems G.

Learning outcomes

On successful completion of this unit, students will be able to:
1. Use MATLAB for the solution of numerical problems in linear algebra, statistics, probability theory, sampling and quantisation. They will be able to describe the important probability distribution functions, and understand and use basic statistical methods; and
2. Be able to use sinusoids and exponentials as 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 describe the continuous to discrete sampling process and implement strategies to avoid the problems of aliasing.


Graduate attributes

1. UC graduates are professional - communicate effectively
1. UC graduates are professional - employ up-to-date and relevant knowledge and skills
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
3. UC graduates are lifelong learners - evaluate and adopt new technology
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
1. UC graduates are professional - take pride in their professional and personal integrity
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
3. UC graduates are lifelong learners - adapt to complexity, ambiguity and change by being flexible and keen to engage with new ideas
3. UC graduates are lifelong learners - reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development


Prerequisites

10087 Engineering Mathematics.

Corequisites

None.

Incompatible units

10093 Signals and Systems G.

Equivalent units

None.

Assumed knowledge

None.
Year Location Teaching period Teaching start date Delivery mode Unit convener
Not available

Required texts

1. B. P. Lathi and R. A. Green, "Linear Systems and Signals", Oxford University Press, New York.

Submission of assessment items

Extensions & Late submissions

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.

Extensions

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 define a student's final grade as outlined below.

Special assessment requirements

Final Mark:

An aggregate mark of 50% is required to pass the unit in addition to achieving at least 50% in the Second Assignment.

The unit convener reserves the right to question students orally on any of their submitted work and modify the mark/grade accordingly if needed.

Grade

Assessments

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

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:

      

                Lectures                                                                                                 24h

                Lecture Reviews                                                                                    12h

                Tutorials and Laboratories + Preparation                                              40h

                 First Assignment                                                                                    24h                 

                 Research Paper                                                                                    20h

                 Second Assignment                                                                              30h

               

                Total:                                                                                               150 Hours

Participation requirements

Students are expected to attend/watch all lectures, and are needed to attend all 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. Participation in laboratory/practical classes is a compulsory condition of this unit, and attendance will be recorded. You must participate in at least 8 of  tutorial/laboratory  classes to pass this unit. In the event that you cannot attend your assigned laboratory class due to illness or unavoidable commitments, contact the Unit Convener as soon as possible.

Required IT skills

Basic programming skills for the use of MATLAB (lecturer will assist with MATLAB) and Python.

Work placement, internships or practicums

Not applicable to this unit