Discrete Simulation and Performance Analysis (DAT530)
This course first introduces Petri net theory; then, the theory is used for modeling, simulation and performance analysis of discrete event systems.
Course description for study year 2024-2025. Please note that changes may occur.
Course code
DAT530
Version
1
Credits (ECTS)
10
Semester tution start
Autumn
Number of semesters
1
Exam semester
Autumn
Language of instruction
English
Content
NB! This is an elective course and may be cancelled if fewer than 10 students are enrolled by August 20th.
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.
Learning outcome
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
Exam
Written exam and assignment(s)
Form of assessment | Weight | Duration | Marks | Aid |
---|---|---|---|---|
Written exam | 40/100 | 4 Hours | Letter grades | No printed or written materials are allowed. Approved basic calculator allowed |
Project work | 60/100 | Letter grades | All |
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).Written exam counts 40 % of total grade. Exam with pen and paper.Both project and exam must be passed to get a final grade in the course.
Course teacher(s)
Course coordinator:
Reggie DavidrajuhHead of Department:
Tom RyenMethod of work
Overlapping courses
Course | Reduction (SP) |
---|---|
Discrete Simulation and Performance Analysis (MID280_1) | 10 |