• Offered by Research School of Engineering
  • ANU College ANU College of Engineering and Computer Science
  • Course subject Engineering
  • Areas of interest Engineering
  • Academic career UGRD
  • Course convener
    • Dr Xiangyun Zhou
  • Mode of delivery In Person
  • Offered in Second Semester 2018
    See Future Offerings

This course presents the principles, theory and techniques fundamental to the analysis and design of continuous time and discrete time signal processing systems. The concepts are illustrated with examples from circuit theory, signal processing, bio-medical engineering, communications, etc. The course has three hardware laboratories using the Telecommunications Instructional Modelling System (TIMS) and one computer laboratory based around MATLAB.

Learning Outcomes

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

Upon successful completion of this course, students should be able to:
  1. Demonstrate an understanding of continuous-time and discrete-time signals and other underpinning concepts such as causality, linearity, time invariance and stability.
  2. Understand the notion of mechanical, thermal and electrical analogies and the application of common engineering tools and techniques to problem solving across these disciplinary.
  3. In-depth understanding of and use of convolution, impulse response, frequency response and the characteristics of low-pass, band-pass and high-pass filters.
  4. Demonstrate an understanding of engineering design practice and the broad principles of analysis and synthesis.
  5. Demonstrate effective reporting of laboratory work.
  6. Demonstrate in-depth understanding of sampling, the Sampling Theorem, aliasing and the Nyquist.
  7. Demonstrate understanding continuous time processing design via sampling and digital processing.

Professional Skills Mapping:
Mapping of Learning Outcomes to Assessment and Professional Competencies 

Indicative Assessment

  1. Assignments: 15%
  2. Labs: 15%
  3. Midsemester Exam: 20%
  4. Final exam: 50%

The ANU uses 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. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Workload

A standard workload of approximately 10 hours/week including the following formal contact hours: 30-36 one hour lectures, 3 x 3hr hardware laboratories, 3x 3hr computer laboratories

Requisite and Incompatibility

To enrol in this course you must have completed ENGN2218.

Prescribed Texts

Signals & Systems by Alan V. Oppenheim, Alan S. Willsky, with S. Hamid Nawab.

Majors

Minors

Fees

Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
2
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
Domestic fee paying students
Year Fee
2018 $4080
International fee paying students
Year Fee
2018 $5400
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
7493 23 Jul 2018 30 Jul 2018 31 Aug 2018 26 Oct 2018 In Person N/A

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