Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit convener
Ahsan Ali
Contact via Email
44 Waterloo Rd Level 1
Thursday 3pm-4pm
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Credit points |
Credit points
4
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Prerequisites |
Prerequisites
Admission to MEng
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
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Unit description |
Unit description
This unit develops the mathematical knowledge and skills required to understand the generation, transfer and processing of signals in data communications systems. Topics include: deterministic signal analysis in continuous and discrete time, linear time invariant systems, Fourier analysis and the basic probability, statistics and random processes theory needed to model noise processes, analyse signal-to-noise ratio, determine channel capacity, detect signals and determine bit error probabilities.
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Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
Assignment problems will be posted on iLearn at least two weeks before their submission date. Assignment solutions will be posted within one week after the submission date. Submissions will not be accepted once the solution is posted. All assignments and reports must be submitted electronically through iLearn (in pdf format). Resubmissions will be permitted up to due date.
Must be supported by evidence of medical conditions or misadventure. Extension requests must be submitted through the Ask online system.
Late assignments may incur a penalty of 10% for each day late.
Once an assignment submission has closed no resubmission of assignments will be permitted.
There are no hurdle requirements.
To obtain a passing grade (P, Cr, D, HD) an overall mark of 50 or more is required.
Name | Weighting | Hurdle | Due |
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Participation | 8% | No | weekly |
Assignment 1 | 10% | No | Week 5 |
Assignment 2 | 10% | No | Week 8 |
Assignment 3 | 10% | No | Week 10 |
Assignment 4 | 10% | No | Week 13 |
End of Semester Exam | 26% | No | scheduled in final exam period |
In-class test 1 | 13% | No | Week 5 |
In-class test 2 | 13% | No | Week 8 |
Due: weekly
Weighting: 8%
This requires student to actively participate in class activities.
Due: Week 5
Weighting: 10%
Problems on signal properties, linear time-invariant systems, convolution and impulse response and related topics.
Due: Week 8
Weighting: 10%
Problems on Fourier Series, Fourier Transform and related topics.
Due: Week 10
Weighting: 10%
Problems on probability and random variables and related topics.
Due: Week 13
Weighting: 10%
Problems on random processes and related topics.
Due: scheduled in final exam period
Weighting: 26%
Final exam on probability, random variables and stochastic processes
Due: Week 5
Weighting: 13%
One hour In-class test on time-domain signals and systems.
Due: Week 8
Weighting: 13%
One hour in-class test on Fourier transforms
The timetable of lectures/tutorials/practicals is available on: http://www.timetables.mq.edu.au/
Text book
There is no set textbook for this unit. See below for a list of useful references.
Notes
Lecture and tutorial notes will be provided as required.
Recommended readings
See iLearn page
The main software tool used will be Matlab.
Access from the online iLearn Learning System at http://ilearn.mq.edu.au
Food and drink are not permitted in the laboratory. Students will not be permitted to enter the laboratory without appropriate footwear. Thongs and sandals are not acceptable.
Formal notification of assessment tasks and due dates will be posted on iLearn. Although all reasonable measures to ensure the information is accurate, The University reserves the right to make changes without notice. Each student is responsible for checking iLearn for changes and updates.
Signals and systems
“Signals, Systems and Transforms” 4th ed, by Phillips, Parr and Riskin. Pearson publishers. 2008.
“Signals and systems”, M. J. Roberts, McGraw-Hill.2004.
“An Introduction to Signals and Systems”, J. A. Stuller, Thomson publishers, 2008.
"Signals and systems", Haykin and Van Veen, Wiley.
“Linear Systems and Signals”, 2nd ed, B. P. Lathi, Oxford University Press, 2005.
“Digital Signal Processing. Principles, Algorithms and Applications”, 4th ed, J. G. Proakis and D. G. Manolakis, Pearson publishers, 2007.
“Signals and systems”, S. Haykin and B. Van Veen, John Wiley &b Sons. 1999.
“Signals & Systems”, A. V. Oppenheim and A. S. Willsky with S. H. Nawab, Prentice-Hall, 1997.
Communication systems
"Theory and design of digital communication systems", T. T. Ha, Cambridge, 2011.
"Communication systems", S. Haykin, 4th ed Wiley.2001.
"Fundamentals of wireless communication", D. Tse and P. Viswanath, Cambridge, 2005.
"Modern digital and analog communication systems", Lathi and Ding, Oxford,
"Communication systems design", Proakis and Salehi, Prentice-Hall.
"A first course in digital communications", Nguyen and Shewedyk, Cambridge.
Books on probability and random processes:
Schaum's outlines Probability, Random Variables, & Random Processes by Hwei P. Hsu
Probability, Statistics, and Random Processes for Electrical Engineering Third Edition by Alberto Leon-Garcia
Probability, Statistics, and Random Processes for Engineers by Richard H. Williams
Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers by Roy D. Yates and David J. Goodman
See ilearn for the list of topics and schedule.
Macquarie University policies and procedures are accessible from Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central). Students should be aware of the following policies in particular with regard to Learning and Teaching:
Undergraduate students seeking more policy resources can visit the Student Policy Gateway (https://students.mq.edu.au/support/study/student-policy-gateway). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
If you would like to see all the policies relevant to Learning and Teaching visit Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central).
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/study/getting-started/student-conduct
Results shown in iLearn, or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit ask.mq.edu.au.
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to improve your marks and take control of your study.
Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.
For all student enquiries, visit Student Connect at ask.mq.edu.au
For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/.
When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.
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This graduate capability is supported by:
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This graduate capability is supported by:
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This graduate capability is supported by:
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This graduate capability is supported by:
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This graduate capability is supported by:
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This graduate capability is supported by:
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This graduate capability is supported by:
In-class tests have been added to assess time-domain (Week 5 test) and Frequency domain (Week 8 test) . Final exam only covers probability, random variables and random processes. Introductory mathematical background address to start of unit. Matlab learning outcome has been removed.
See changes to previous offering.