Signals and Systems (8235.3)
|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||Level 3 - Undergraduate Advanced Unit|| 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. 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 attributes1. 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
Prerequisites10087 Engineering Mathematics.
Incompatible units10093 Signals and Systems G.
|Year||Location||Teaching period||Teaching start date||Delivery mode||Unit convener|
|2022||UC - Canberra, Bruce||Semester 2||01 August 2022||On-Campus||Dr Maryam Ghahramani|
|2023||UC - Canberra, Bruce||Semester 2||31 July 2023||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
Extensions: Extensions must be applied for before the due date.
Assessments and Lab Reports 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 Reports 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.
Assessments and Lab Reports 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 assessment.
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
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:
Laboratories + Preparation (laboratories) 40h
Homework / Lab reports 40h
Mid semester test 20h
Lecture Reviews 24h
Final Assessment 2h
Total: 150 Hours
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
Word processing and basic programming skills for the use of MATLAB (lecturer will assist with MATLAB)
Work placement, internships or practicums
Not applicable to this unit