Mechatronics BEng/MEng
Communication Systems 3 ENG3014
- Academic Session: 2026-27
- School: School of Engineering
- Credits: 10
- Level: Level 3 (SCQF level 9)
- Typically Offered: Semester 1
- Available to Visiting Students: Yes
- Collaborative Online International Learning: No
- Curriculum For Life: No
Short Description
In this course, the student will be introduced to the basic principles of spectral analysis and shown how this relates to a communication system, generation and detection techniques. The student will gain an overview of analogue and basic digital communication system modulation.
Timetable
2 one hour teaching session per week (lectures/tutorials)
3 three hour laboratory sessions
Excluded Courses
None.
Co-requisites
None.
Assessment
70% Degree Examination
15% Laboratory
10% Numerical Simulations
5% in-class tests
Main Assessment In: December
Course Aims
The aims of this course are to:
■ introduce the basic principles of signals and communication systems by means of spectral analysis;
■ gain an understanding of linear systems and signal filtering;
■ gain an overview of analogue and basic digital communication system modulation, generation and detection techniques;
■ provide practical illustrations of the behaviour of electronic signals under filtering and modulation.
Intended Learning Outcomes of Course
By the end of this course students will be able to:
■ Employ the techniques of Fourier Series, Fourier Transforms and Convolution to translate functions between time and frequency domains;
■ Apply the properties of Fourier Transforms and Convolution to simple filters (e.g. RLC circuits) to determine the time domain and frequency domain response of linear systems;
■ Identify and explain the operation of various modulation and demodulation techniques and strategies as they apply to communication systems;
■ Determine the bandwidth requirements and limitations of common modulation techniques;
■ Use an oscilloscope and spectral analyser to analyse time and frequency domain waveforms.
■ Numerical simulation of communication systems and performance analysis in noisy channels.