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Curricular information is subject to change
By the end of the module, students will:
1. have an appreciation of the state of the art of performance engineering;
2. know and be able to apply analytical and simulation tools and techniques to tackle performance engineering of complex software systems;
3. have conducted a detailed performance evaluation of a sample system.
Topics vary, but are likely to include Measurement Techniques and Tools, Probability and Queueing Models, Test Design and Analysis, and Simulation.
|Student Effort Type||Hours|
|Autonomous Student Learning||
Ability to write and design computer programs; understanding of the basics of computer systems.
|Description||Timing||Component Scale||% of Final Grade|
|Class Test: In-class test||Varies over the Trimester||n/a||Other||No||
|Continuous Assessment: Written reports based on practical work||Varies over the Trimester||n/a||Graded||No||
|Resit In||Terminal Exam|
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
Not yet recorded.
|Professor John Murphy||Lecturer / Co-Lecturer|
|Dr Christina Thorpe||Tutor|