Programme And Module Handbook
 
Course Details in 2025/26 Session


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Module Title LM Digital Communications and Signal Processing
SchoolSchool of Engineering
Department Elec, Elec & Sys Engineering
Module Code 04 30059
Module Lead Dr Marina Gashinova
Level Masters Level
Credits 20
Semester Semester 1
Pre-requisites
Co-requisites
Restrictions None
Contact Hours Lecture-18 hours
Tutorial-6 hours
Guided independent study-176 hours
Total: 200 hours
Exclusions
Description In the first part of module, students should become familiar with analysis and synthesis of digital communication systems by means of the statistical theory that is the core of any information exchange and specifically digital data. They should gain an understanding of the fundamental principles of communication that will be used in all communication related courses. The second part of the module covers the principles of optimal signal detection and processing to minimize the Bit Error Rates (BER). It will be considered dependence of BER and Signal Noise Ratio (SNR) for different kind of modulations used in modern systems. And finally the third part will be an introduction in the technique of digital signal processing by means of digital filters, Fourier Transform and signal processing in frequency domain. All mentioned above is the subject of assignment where the students will Modell a communication systems using Matlab software.
Learning Outcomes By the end of the module students should be able to:
  • Apply statistical signal processing methods and classical statistical theory to communication system analysis
  • Analyse a communication system performance for a given system configuration and parameters.
  • Select and analyse proper technique for the signal processing in time and frequency domains.
  • model communication system and subsystems using Matlab and be familiar with the basic digital filtering algorithms.
Assessment 30059-01 : Module Mark : Mixed (100%)
Assessment Methods & Exceptions Main assessment
(50%) ongoing Canvas based timed summative assessment - individual assignment/course work, which will include theoretical analysis and Matlab or Python modelling and simulation (Canvas submission)

(50%) end of module assessment:
Option A: 3 hour closed book examination at end of module (centrally timetabled January exam)
Option B: Open book assessment released and submitted via Canvas.

Supplementary/Reassessment
Reassessment to match the main assessment method with due consideration made to any restrictions imposed at the time of reassessment. Students can carry forward passed assessment components from main assessment.
Other
Reading List