Dette er studietilbudet for studieår 2020-2021.

This course first introduces Petri net theory; then, the theory is used for modeling, simulation and performance analysis of discrete event systems.

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.


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.

Required prerequisite knowledge



Written exam and assignment(s)
Weight Duration Mark Supporting materials
Written exam40/1004 hoursA - FNo printed or written materials are allowed. Approved basic calculator allowed.
Project work60/100 A - FAll.
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).

Course teacher(s)

Course coordinator
Reggie Davidrajuh
Head of Department
Tom Ryen

Method of work

4 hours lectures and 2 hours exercises.

Overlapping courses

Course Reduction (credits)
Discrete Simulation and Performance Analysis (MID280_1) 10

Open to

Computer Science - Master's Degree Programme
Industrial Automation and Signal Processing - Master's Degree Programme - 5 year
Robot Technology and Signal Processing - Master's Degree Programme

Course assessment

Form and/or discussion.


Link to reading list

Dette er studietilbudet for studieår 2020-2021.

Last updated: 09.08.2020