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Real-Time Systems - COM00035H

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• Department: Computer Science
• Module co-ordinator: Prof. Alan Burns
• Credit value: 20 credits
• Credit level: H
• Academic year of delivery: 2021-22

Module summary

This module provides an overview of the design and analysis of Real-Time Systems, and gives an opportunity to explore the practical aspects of their construction.

Related modules

Additional information

Students on the joint Mathematics and Computer Science programmes who are interested in this module should discuss the necessary prerequisite knowledge with the module leader if they have not chosen to take Systems and Devices 1 earlier in their degree.

Module will run

Occurrence	Teaching cycle
A	Autumn Term 2021-22

Module aims

Provide an overview of the design, analysis, and construction of Real-Time Systems. It will cover all aspects of this discipline, starting from the mathematical underpinnings that underlie the modelling and analysis of tasksets, the software development necessary to implement them, and the restricted hardware architectures that are used to execute them.

Module learning outcomes

• Demonstrate use of appropriate scheduling theory for determining the worst-case response time of task sets.

• Discuss the use of mixed criticality in complex systems. Apply appropriate theory to determine the timing properties of such systems.

• Use restricted programming models (i.e. Ada, Real-Time Java, RTOSes) to develop analysable software for use in a timing-critical context.

• Analyse restricted hardware architectures for real-time systems in the context of real industrial systems (i.e. CAN/AUTOSAR)

Assessment

Task	Length	% of module mark
Online Exam - 24 hrs (Centrally scheduled) Real-Time Systems	N/A	100

Special assessment rules

None

Reassessment

Task	Length	% of module mark
Online Exam - 24 hrs (Centrally scheduled) Real-Time Systems	N/A	100

Module feedback

Feedback is provided through work in practical sessions, and after the final assessment as per normal University guidelines.

Indicative reading

**** Alan Burns and Andy Wellings, Analysable Real-Time Systems, 2016.