Undergraduate Course: Signals and Communication Systems 2 (SCEE08007)
Course Outline
| School | School of Engineering |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 8 (Year 2 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course provides an introduction to the principles of signals, systems, and communications. It focuses on the representation and analysis of signals and systems in the time and frequency domains, with Fourier analysis at its core, and introduces the basic methods by which information is transmitted in practical communication systems. These fundamentals are essential in modern electronics and electrical engineering and underpin technologies and further study in areas including wireless communications, signal processing, control, and electronics. |
| Course description |
The topics for Weeks 1-5 are:
- Complex numbers, examples of signals, energy and power
- Complex Fourier series
- Fourier transforms
- Linear systems, impulse responses, convolutions
- Sampling and aliasing
The topics for Weeks 6-10 are:
- An introduction to noise, bandwidth and information
- Analogue modulation: amplitude modulation
- Analogue modulation: angle modulation (FM, PM)
- Multiplexing
- Digital encoding: baseband line codes
- Digital encoding: digital modulation (binary shift keying)
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Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
|
| Academic year 2026/27, Available to all students (SV1)
|
Quota: None |
| Course Start |
Semester 2 |
| Course Start Date |
11/01/2027 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 22,
Seminar/Tutorial Hours 10,
Formative Assessment Hours 1,
Summative Assessment Hours 1.5,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
63 )
|
| Assessment (Further Info) |
Written Exam
100 %,
Coursework
0 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
100% written examination. |
| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Recognise and describe common classes of signals, with examples; determine whether a given signal is an energy or power signal; compute the appropriate measure
- Evaluate and interpret Fourier transforms for common classes of signals; plot magnitude and phase spectra; apply Parseval's theorem; predict the effect of an LTI system using its frequency response.
- Recall the Nyquist sampling theorem; analyse the effect of sampling on the frequency content of a signal
- Describe analogue and digital modulation schemes, including AM, FM/PM, OOK, FSK, and PSK.
- Explain the concept of signal multiplexing (e.g. frequency-division and time-division multiplexing); analyse simple multiplexing communication systems.
|
Reading List
| See lecture notes for full reading list. |
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Continuous and discrete-time signal,Fourier analysis,Nyquist sampling theory,communication system |
Contacts
| Course organiser | Dr Elliot Crowley
Tel:
Email: elliot.j.crowley@ed.ac.uk |
Course secretary | Ms Ilaria Monfroni
Tel:
Email: imonfron@ed.ac.uk |
|
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