• Class Number 5248
  • Term Code 3260
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
    • Dr Xiangyun Zhou
    • Dr Xiangyun Zhou
  • Class Dates
  • Class Start Date 25/07/2022
  • Class End Date 28/10/2022
  • Census Date 31/08/2022
  • Last Date to Enrol 01/08/2022
SELT Survey Results

The concepts of signals and systems are at the heart of our modern world. They exist in a wide range of engineering disciplines ranging from electrical and electronic systems, mechanical systems, thermal and chemical systems, to biomedical system . This course presents the common principles, theory and techniques fundamental to the analysis and design of continuous-time and discrete-time signals and systems applicable to all engineering disciplines. It begins by introducing an analytical framework describing signals and systems. The following specific topics are covered subsequently: basic properties of signals and systems, linear time-invariant systems, Fourier series representations of continuous-time and discrete-time signals, signal analysis through the Fourier transform, filter design, and sampling. The mathematical concepts are illustrated with examples from different engineering disciplines and the techniques are practiced in laboratory activities.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. Demonstrate understanding of continuous-time and discrete-time signals and systems and analyse their properties such as causality, linearity, time invariance and stability.
  2. Describe and model signals and systems arising from different engineering disciplines using a common analytical framework and apply common engineering tools and techniques to problem solving across these disciplines.
  3. Use impulse response, frequency response and Fourier methods in analysing signals and systems in time and frequency domains, as well as low-pass, band-pass and high-pass filter designs.
  4. Explain the concept of sampling, the Sampling Theorem, aliasing and the Nyquist rate.
  5. Apply engineering design practice in a laboratory setting, individually or in a small team, and communicate the results effectively.

Research-Led Teaching

  • Flipped teaching. One-on-one and group discussions with the lecturer and tutor during drop-in, tutorial and lab sessions to develop problem-solving skills.
  • Computer simulation as a systematic tool for the design and analysis in signal processing.
  • Hands-on experimental work to practice analytical and problem-solving skills.

Required Resources

This course does not have an assessable textbook but it follows largely on Oppenheim and Willsky, “Signals and Systems”, 2nd edition, Pearson/Prentice Hall, 1999. The lecture notes and recordings together with tutorials, labs and assignments are the required learning resources of this course.

M. Wickert, Signals and System for Dummies, 1st Ed., Wiley, 2013. https://library.anu.edu.au/record=b5302302

Oppenheim, Signals and System, MIT Open Courseware, 2011. http://ocw.mit.edu/resources/res-6-007-signals-and-systems-spring-2011/index.htm

Ingle and Proakis, Digital Signal processing using MATLAB, 2nd edition, 2007. http://library.anu.edu.au/record=b2289414

Staff Feedback

Students will be given feedback in the following forms in this course:

  • written comments
  • verbal comments
  • feedback to whole class, groups, individuals, focus group etc

Student Feedback

ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course Convener or through their College and Course representatives (if applicable). Feedback can also be provided to Course Conveners and teachers via the Student Experience of Learning & Teaching (SELT) feedback program. SELT surveys are confidential and also provide the Colleges and ANU Executive with opportunities to recognise excellent teaching, and opportunities for improvement.

Class Schedule

Week/Session Summary of Activities Assessment
1 Lectures (Recording) 1, 2 Tutorial and Lab Group Sign-up
2 Lectures (Recording) 3, 4, Lecturer's Drop-in
3 Lectures (Recording) 5, 6, Lecturer's Drop-in, Tutorial 1 Assignment 1 released
4 Lectures (Recording) 7, 8, Lecturer's Drop-in, Tutorial 2 Assignment 2 released
5 Lectures (Recording) 9, 10, Lecturer's Drop-in, CLab 1 Assignment 1 due on Wednesday CLab 1: main task done during the lab session and a written report due on Friday
6 Lectures (Recording) 11, 12, Lecturer's Drop-in, Tutorial 3 Assignment 2 due on Friday
7 Lectures (Recording) 13, Lecturer's Drop-in Mid-semester exam
8 Lectures (Recording) 14, 15, Lecturer's Drop-in, Tutorial 4, CLab 2 Assignment 3 released CLab 2: main task done during the lab session and a written report due on Friday
9 Lectures (Recording) 16, 17, Lecturer's Drop-in, MokuLab 1 MokuLab 1: task and assessment done during the lab session
10 Lectures (Recording) 18, 19, Lecturer's Drop-in Assignment 4 released Assignment 3 due on Friday
11 Lectures (Recording) 20, 21, Lecturer's Drop-in, Tutorial 5, CLab 3 CLab 3: main task done during the lab session and a written report due on Friday
12 Lectures (Recording) 22, Lecturer's Drop-in, MokuLab 2 MokuLab 2: task and assessment done during the lab session Assignment 4 due on Friday

Assessment Summary

Assessment task Value Learning Outcomes
Labs 18 % 1,2,3,5
Assignments 16 % 1,2,3
Mid-Semester Exam 20 % 1,2,3
Final Exam 46 % 1,2,3,4

* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details


ANU has educational policies, procedures and guidelines , which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. Students are expected to have read the Academic Integrity Rule before the commencement of their course. Other key policies and guidelines include:

Assessment Requirements

The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit the Academic Skills website. In rare cases where online submission using Turnitin software is not technically possible; or where not using Turnitin software has been justified by the Course Convener and approved by the Associate Dean (Education) on the basis of the teaching model being employed; students shall submit assessment online via ‘Wattle’ outside of Turnitin, or failing that in hard copy, or through a combination of submission methods as approved by the Associate Dean (Education). The submission method is detailed below.

Moderation of Assessment

Marks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some moderation of marks might be applied prior to final results being released.

Assessment Task 1

Value: 18 %
Learning Outcomes: 1,2,3,5


3 Computer labs based on Matlab:

The lab procedures (the main task) are performed within the scheduled lab session. Discussion among students and with tutor on lab procedures is encouraged, while individual written report is required for submission for assessment. The marked report will be returned to students within 1-2 weeks.

2 Hardware labs based on Moku:Labs:

The lab procedures and assessment are performed within the scheduled lab session.

Assessment Task 2

Value: 16 %
Learning Outcomes: 1,2,3


4 Assignments:

Assignment are released two weeks before the submission deadline. Assignment questions include mathematical problem-solving (majority of the questions), matlab simulation. This is an individual assessment and written submission is required before the deadline. The marked assignment will be returned to students in within 1-2 weeks.

Assessment Task 3

Value: 20 %
Learning Outcomes: 1,2,3

Mid-Semester Exam

Mid-term exam in week 7 and marked within 2 weeks. It will be an online exam in Wattle.

Assessment Task 4

Value: 46 %
Learning Outcomes: 1,2,3,4

Final Exam

Final exam during exam period. It will be an online exam in Wattle.

Academic Integrity

Academic integrity is a core part of the ANU culture as a community of scholars. The University’s students are an integral part of that community. The academic integrity principle commits all students to engage in academic work in ways that are consistent with, and actively support, academic integrity, and to uphold this commitment by behaving honestly, responsibly and ethically, and with respect and fairness, in scholarly practice.

The University expects all staff and students to be familiar with the academic integrity principle, the Academic Integrity Rule 2021, the Policy: Student Academic Integrity and Procedure: Student Academic Integrity, and to uphold high standards of academic integrity to ensure the quality and value of our qualifications.

The Academic Integrity Rule 2021 is a legal document that the University uses to promote academic integrity, and manage breaches of the academic integrity principle. The Policy and Procedure support the Rule by outlining overarching principles, responsibilities and processes. The Academic Integrity Rule 2021 commences on 1 December 2021 and applies to courses commencing on or after that date, as well as to research conduct occurring on or after that date. Prior to this, the Academic Misconduct Rule 2015 applies.


The University commits to assisting all students to understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. All coursework students must complete the online Academic Integrity Module (Epigeum), and Higher Degree Research (HDR) students are required to complete research integrity training. The Academic Integrity website provides information about services available to assist students with their assignments, examinations and other learning activities, as well as understanding and upholding academic integrity.

Online Submission

You will be required to make a declaration as part of the submission of your assignment and lab report. Please keep a copy of the assignment for your records.

Hardcopy Submission

All submissions are done electronically in Wattle, unless otherwise arranged for individual students.

Late Submission

Late submission is not permitted. A mark of 0 will be awarded for late submission.

Referencing Requirements

The Academic Skills website has information to assist you with your writing and assessments. The website includes information about Academic Integrity including referencing requirements for different disciplines. There is also information on Plagiarism and different ways to use source material.

Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure. Extensions may be granted for assessment pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due date.

Privacy Notice

The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users first agreeing to the database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the database licensor and submit personal information, including their: first name; last name; ANU email address; and other information.
In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’ in accordance with the terms of service – including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy.
If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these circumstances students should contact their lecturer to enquire about alternative arrangements that are available.

Distribution of grades policy

Academic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualification type learning outcomes.

Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.

Support for students

The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).

Dr Xiangyun Zhou

Research Interests

Dr Xiangyun Zhou

Monday 14:00 15:30
Monday 14:00 15:30
Dr Xiangyun Zhou

Research Interests

Dr Xiangyun Zhou

Monday 14:00 15:30
Monday 14:00 15:30

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions