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Communication engineering and signal processing. Convolution, Fourier series and transform, amplitude modulation, angle modulation, random processes, noise in modulated systems, discrete signal processing, digital transmission (PCM, TDM and FDM), DTFT/DFT and FIR/IIR filter design.
At the conclusion of this course you should be able to:LO1: Describe and apply appropriate theories and mathematical techniques for use in analogue and digital signal processing (WA1, WA2)LO2: Differentiate types of analogue and digital filters, and apply these filters in signal processing applications (WA2, WA3, WA4, WA12)LO3: Process analogue and digital signals using contemporary mathematical techniques and tools for communication and other systems. (WA3, WA4, WA5)LO4: Work collaboratively in a team environment (WA9)
This course will provide students with an opportunity to develop the Graduate Attributes specified below:
Critically competent in a core academic discipline of their award
Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.
Employable, innovative and enterprising
Students will develop key skills and attributes sought by employers that can be used in a range of applications.
ENEL220, EMTH210, ENEL321 and EMTH211
ENEL332, ENEL351
Students must attend one activity from each section.
Joe Chen
Philippa Martin
Domestic fee $1,122.00
International fee $6,238.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see Electrical and Computer Engineering .