Introduction to quantitative methods for construction, dimensioning, and analysis of distributed systems; performance analysis for systems development and maintenance; basic concepts, measurement techniques, and tools for performance analysis; Petri net theory; discrete event based models with GPenSIM; applied statistical techniques (like factor analysis, ANOVA, hypothesis testing) for filtering and analysis of data.
After completing the course, the student shall:
Understand what performance evaluation and simulation means when many computers are connected in a system
Make models of realistic systems and run simulations on the models.
Apply Petri nets for advanced mathematical modeling of discrete event systems.
Use Applied Statistical techniques for filtering and analysis of data.
Required prerequisite knowledge
Written exam and assignment(s)
Form of assessment
No printed or written materials are allowed. Approved basic calculator allowed
The course has a continous assessment.Project counts 60% of total grade. The project can be done individually or in groups of 2-3 students.If a student fails to deliver the project on time, then the student will be awarded a fail mark. If valid documentation is provided (e.g., medical certificate), then extended time can be given to complete the project.If a student fails the project, the student may take a new project with a new title the next time the course goes as usual. However, under exceptional circumstances, the course coordinator may allow the student to start a new project in the following semester (no need to wait for the next course start).Both project and exam must be passed to get a final grade in the course.