ACS232 Signals, Systems and Communication
Modern communication systems provide the backbone of the technological development that is driving the information age. The increase of data analytics, machine learning, and networked solutions pushes the trend towards an increasing use of digital communication systems as means of enabling reliable and efficient information exchange. The aim of the unit is to provide the fundamentals of signals, systems and communication systems. The mathematical principles of signal theory and systems theory will be applied within a communication theory context. The unit will provide the students with the tools to analyse and solve complex open-ended communication problems and to evaluate the technological constraints of the proposed solutions.
Credits: 20 (Academic Year)
Pre-requisites: ACS131 or equivalent
Dr Inaki Esnaola
If you have any questions about the module please talk to me during the lectures or the labs in the first instance. It is likely that other students will learn from any questions you ask as well, so don’t be afraid to ask questions.
Outside of lectures please contact me via email, or drop in to see me.
Other Teaching Staff
Professor Robert F Harrison
By the end of the module students will:
Module satisfies the AHEP3 (Accreditation of Higher Education Programmes, Third Edition) Learning Outcomes that are listed in brackets after each learning outcome above. For further details on AHEP3 Learning Outcomes, see the downloads section of our accreditation webpage.
Part I Deterministic Signals
Part II Stochastic Signals
1.Introduction to communication systems; OSI model.
Part III Physical Layer
Part IV Data Networks
Learning and Teaching Methods
Lectures - 50 hours
Independent Study - 123 hours
Learning and Teaching Materials
A 2 hour exam worth 40%, 5 lab reports worth 40% in total, 4 computer-based quizzes worth 5% each and lasting for 1 hour each
Feedback is given to students during the module via the following:
Students are encouraged to provide feedback during the module direct to the lecturer. Students will also have the opportunity to provide formal feedback via the Faculty of Engineering Student Evaluation Survey at the end of the module.
It will be available as an ebook via the University library but it is cheap to buy and easier to use in paper copy. It contains concise derivations of all key results and most of the tutorial examples and worked examples.
Also recommended for deeper insight (but not to buy) is: