My teaching interests are in Electronics, Telecommunications and Signal Processing. Below are links to some of the media coverage regarding my teaching:
Media Articles and Presentations
05/2016: Friend of ANU Fifty50 Profile.
09/2015: Slides for my talk at the CECS Teaching and Learning Seminar are available here: Research-Based Framework for Supervision of Undergraduate Research Projects.
07/2015: Faces of ANU Interview.
06/2015: Slides for my talk at the ANU Teaching and Learning Colloquium are available here: Making expert thinking visible.
02/2014: Fellowship with HEA.
05/2013: Our vox pop (30 sec video made with the participation of ENGN2218 students) selected as one of ten winners at the Higher Education Technology Agenda (THETA) conference. See here (forward 1 min 30sec into the video)
05/2012: ANU Vice Chancellor's Award for Teaching Excellence.
I have taught the following graduate/undergraduate courses at ANU:-
- ENGN2228 Signal Processing: Semester 2, 2016
I will be teaching this course from next year.
- ENGN2218 Electronic System and Design: Semester 1, 2015-2010
ENGN2218 Electrical Systems & Design builds directly on ENGN1218 Introduction to Electrical Systems by developing the students' understanding of the principles and operation of advanced electronic circuits and devices (bipolar junction transistor, operational amplifier, filters, digital logic gates, ADC and DAC, 555 Timer and Instrumentation amplifiers). It also emphasizes the importance of modeling the behaviour of complex electronic circuits and devices using systematic mathematical techniques. PSPICE is used extensively in the design, analysis and simulation.
- ENGN3226 & ENGN6626
Digital Communications: Semester 1, 2013-2010 & ENGN3226 Digital Communications: Semester 2, 2009-2007
This (3rd year)
course presents the principles and techniques fundamental to the analysis
and design of digital communication systems. It focuses on the basic
building blocks of a digital communication system (channel encoder/decoder,
digital modulator/demodulator and channel characteristics). The emphasis
is on mathematical underpinnings of communications theory along with
SIMULINK isused extensively in the analysis and design. Sample course material:
Practical Experience: Semester 2, 2009 - Semester 2, 2010
The BE degree at the ANU is accredited by the Engineers Australia. A requirement of Engineers Australia, as part of the degree accreditation, is that students complete the equivalent of 12 weeks of full-time work experience outside the University during their studies. This is implemented in the BE course at the ANU as the unit ENGN3100. I am the Co-ordinator for this course since September, 2009. Sample course material:
Computing for Engineering Simulation: Semester 1, 2013 & Semester 2, 2012-10
I gave a guest lecture in this course on the use of Matlab in communications and signal processing, using examples from my research:
Electronic Circuits: Semester 1, 2009-2005
This (2nd year)
course introduces the analysis and design of fundamental analogue electronic
and introductory digital electronic circuits. It also provides an understanding
of the basic properties and applications of different electronic devices
(diodes, bipolar junction and field effect transistors). The primary
aim is to provide a solid foundation for students in the field of Electrical
Engineering. PSPICE is used extensively in the analysis and simulation. Sample course material:
Analogue Electronics: Semester 2, 2006
This new (3rd year) course aims to develop an understanding
of the fundamental principles of analysis, design and implementation
of analogue electronic circuits and related integrated circuits. The
course focuses on single stage and simple multistage analogue electronic
circuits based on the operational amplifier. Application areas discussed
include Telecommunications and Control systems. MATLAB and PSPICE are
used extensively in the analysis and design. Sample course
& ENGN4612 Digital Signal Processing and Control: Semester 2, 2005
This (combined final year & Masters) course aims
to develop an understanding of discrete time signal processing algorithms,
technology and applications. Specific topics in the DSP part include
z-transforms, DFT, DTFT, FFT, Implementation of digital filters, FIR
and IIR filter design techniques, Filter structures. MATLAB is used
throughout the course to solve application examples.