Modiwl IBC-2008:
Communications Systems
Communications systems 2023-24
IBC-2008
2023-24
School of Computer Science & Engineering
Module - Semester 2
10 credits
Module Organiser:
Iestyn Pierce
Overview
• Time and frequency representation of both discrete and continuous signals. Fourier series and Fourier transforms. • Convolution and Sampling theorem. • Time-limited and Band-limited signal. Single and double-sided spectra. • Amplitude modulation – DSBSC, SSBSC, power efficiency and quadrature components. • Frequency and Phase modulation – Carson’s rule, NBFM, WBFM. • Signal to Noise Ratio of AM and FM systems. Bandwidth requirements. • Pulse modulation – Instantaneous, Natural and Flat-Top Sampling. • Nyquist criteria, Aliasing and aperture effects. • Quantisation and PCM – bit rate and companding. PCM with TDM. • Digital modulation. Quantisation noise.
Assessment Strategy
-threshold -Equivalent to 40%. Uses key areas of theory or knowledge to meet the Learning Outcomes of the module. Is able to formulate an appropriate solution to accurately solve tasks and questions. Can identify individual aspects, but lacks an awareness of links between them and the wider contexts. Outputs can be understood, but lack structure and/or coherence.
-good -Equivalent to the range 60%-69%. Is able to analyse a task or problem to decide which aspects of theory and knowledge to apply. Solutions are of a workable quality, demonstrating understanding of underlying principles. Major themes can be linked appropriately but may not be able to extend this to individual aspects. Outputs are readily understood, with an appropriate structure but may lack sophistication.
-excellent -Equivalent to the range 70%+. Assemble critically evaluated, relevant areas of knowledge and theory to construct professional-level solutions to tasks and questions presented. Is able to cross-link themes and aspects to draw considered conclusions. Presents outputs in a cohesive, accurate, and efficient manner.
Learning Outcomes
- Know the main characteristics and analytic expressions for both analogue and digital signals.
- Know the main characteristics of analogue communication systems.
- Know the main characteristics of digital communication systems.
Assessment method
Exam (Centrally Scheduled)
Assessment type
Crynodol
Description
Final exam
Weighting
80%
Assessment method
Coursework
Assessment type
Crynodol
Description
Analogue communications assignment
Weighting
10%
Assessment method
Coursework
Assessment type
Crynodol
Description
Digital communications assignment
Weighting
10%