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Curricular information is subject to change
On successful completion of this module a student will be able to:
1. Describe various digital modulation schemes in terms of signal space theory.
2. Calculate performance metrics of standard transmitter/receiver pairs under various channel conditions.
3. Design and evaluate the performance of optimum and sub-optimum communication receivers.
4. Write computer simulations of various physical layer communications scenarios.
5. Demonstrate an understanding of information theory and its application in channel coding.
|Student Effort Type||Hours|
|Specified Learning Activities||
|Autonomous Student Learning||
EEEN30060 Communication Theory or equivalent.
EEEN30110 Signal and Systems or equivalent.
EEEN30050 Signal Processing or equivalent.
A sound understanding of the fundamentals of probability theory and random processes such as would be provided by STAT20060.
A good knowledge of linear algebra and calculus.
Proficiency in MATLAB programming.
|Description||Timing||Component Scale||% of Final Grade|
|Examination: End of semester written examination||2 hour End of Trimester Exam||No||Alternative linear conversion grade scale 40%||No||
|Continuous Assessment: Computer Exercises||Varies over the Trimester||n/a||Alternative linear conversion grade scale 40%||No||
|Resit In||Terminal Exam|
|Spring||Yes - 2 Hour|
• Feedback individually to students, post-assessment
For the computer programming exercises, general feedback will be provided to the class summarizing the most common errors, and advice will be given regarding how to avoid such errors in future.