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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 performance analysis/evaluation exercises.
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 |
---|---|
Lectures | 24 |
Practical | 24 |
Autonomous Student Learning | 77 |
Total | 125 |
Ability to write and design computer programs; understanding of the basics of computer systems.
Resit In | Terminal Exam |
---|---|
Autumn | No |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
Not yet recorded.
Name | Role |
---|---|
Professor John Murphy | Lecturer / Co-Lecturer |