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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2016/2017

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DRPS : Course Catalogue : School of Engineering : Postgrad (School of Engineering)

Postgraduate Course: Digital Communication Fundamentals (MSc) (PGEE10019)

Course Outline
SchoolSchool of Engineering CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 10 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryThe 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
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2016/17, Not available to visiting students (SS1) Quota:  None
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 22, Seminar/Tutorial Hours 11, Formative Assessment Hours 1, Summative Assessment Hours 2, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 62 )
Assessment (Further Info) Written Exam 100 %, Coursework 0 %, Practical Exam 0 %
Additional Information (Assessment) 100% Examination
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S1 (December)2:00
Learning Outcomes
A student should be able to:

Understand sources of noise in a communications system and statistical techniques for describing noise; Comprehend application of some common decision rules in digital communications receivers; Understand multiplexing and basic PCM speech coding; Explain the principles of linear predictive speech coding; Understand information theory and design block error correcting coders; Perform error rate calculations based on decision criteria; Understand the basic techniques for source coding and drawbacks of common techniques; Comprehend the uses of forward error correcting coding and the concept of block codes; Understand the application of block coding techniques as well as some fundamental limits on their performance; Comprehend the convolutional codes and the Viterbi decoding algorithm; Analyse the performance of ASK, FSK, PSK IF coding in terms of occupied bandwidth, complexity etc; Perform error rate calculations; Understand extension to QPSK, MPSK, QAM for improved spectral efficiency; Perform error rate calculations; Derive receiver noise performance, free space link path loss and perform receiver noise predictions on terrestial receiver systems; Extend to satellite based systems with low noise cooled earthstations; Appreciate industrial importance of networks, ATM and IP protocols; Comprehend the basic concepts of personal mobile communications and in particular GSM European TDMA systems; Comprehend the basic concepts of spread spectrum techniques as used in mobile personal communications; Understand operation of network protocols such as ARQ; Comprehend queueing concepts, delays, Littles result; Describe telephony multiplex systems using PDH and SDH; perform efficiency calculations on these systems; Understand operation of wireless LANs and PANs.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsNot entered
Contacts
Course organiserDr Majid Safari
Tel: (0131 6)51 3569
Email: Majid.Safari@ed.ac.uk
Course secretaryMiss Megan Inch
Tel: (0131 6)51 7079
Email: M.Inch@ed.ac.uk
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