Undergraduate Course: Digital Communications 4 (ELEE10006)
Course Outline
| School | School of Engineering |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 10 (Year 4 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | The aim of this course is to provide students with a thorough understanding of how information theory relates to the design of digital communications systems and to provide the knowledge and skills to perform design calculations on these systems. Students will use standard mathematical methods to model and analyse digital communication systems and predict performance metrics such as received SNR and expected bit error ratio. |
| Course description |
Not entered
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Information for Visiting Students
| Pre-requisites | Students should be familiar with the sampling theorem, be able to analyse baseband communication systems in the absence of noise, discuss the concepts of noise, power spectral densities, and probability, and recall basic error correction schemes, including parity check bits, and simple block codes. |
Course Delivery Information
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| Academic year 2014/15, Available to all students (SV1)
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Quota: None |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 20,
Seminar/Tutorial Hours 10,
Formative Assessment Hours 1,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
65 )
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| Assessment (Further Info) |
Written Exam
100 %,
Coursework
0 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
Assessment will be based on a single written paper of 90 minutes duration. |
| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S1 (December) | Digital Communications 4 | 2:00 | |
Learning Outcomes
After successful completion of this course a student will be able to:
- perform bit error rate calculations with the use of decision criteria and noise levels;
- explain the principles behind various speech coding schemes and calculate SNR for n bit coder;
- manipulate the entropy principle to design efficient block and convolutional coding techniques to correct received errors;
- compare and contrast ASK, FSK, PSK IF coding schemes in terms of occupied bandwidth, complexity etc. and extend these into QPSK, MPSK, QAM for improved spectral efficiency;
- perform error rate calculations given formulae;
- derive receiver noise performance, free space link path loss and perform receiver noise predictions on terrestial and satellite receiver systems;
- explain the basic concepts of personal mobile communications, GSM European TDMA and CDMA systems;
- describe in terms of block diagrams, telephony multiplex systems using PDH and SDH and perform efficiency calculations on these systems.
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Majid Safari
Tel: (0131 6)51 3569
Email: Majid.Safari@ed.ac.uk |
Course secretary | Mrs Sharon Potter
Tel: (0131 6)51 7079
Email: Sharon.Potter@ed.ac.uk |
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