Course

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.


Dette er emnebeskrivelsen for studieåret 2025-2026

Fakta

Emnekode

DAT530

Vekting (stp)

10

Semester undervisningsstart

Autumn

Undervisningsspråk

English

Antall semestre

1

Vurderingssemester

Autumn

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.

Forkunnskapskrav

Ingen

Exam

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.

Fagperson(er)

Head of Department:

Tom Ryen

Course coordinator:

Reggie Davidrajuh

Method of work

4 hours lectures and 2 hours exercises.

Åpent for

Admission to Single Courses at the Faculty of Science and Technology
Data Science - Master of Science Degree Programme City and Regional Planning - Master of Science Degree Programme, Five Years Computational Engineering - Master of Science Degree Programme Computer Science - Master of Science Degree Programme Industrial Economics - Master of Science Degree Programme Industrial Automation and Signal Processing - Master's Degree Programme - 5 year Robot Technology and Signal Processing - Master's Degree Programme Structural and Mechanical Engineering - Master of Science Degree Programme Petroleum Engineering - Master of Science Degree Programme Master's Degree Programme in Societal Safety, Specialisation in Technical Social Safety
Exchange programme at Faculty of Science and Technology

Emneevaluering

There must be an early dialogue between the course supervisor, the student union representative and the students. The purpose is feedback from the students for changes and adjustments in the course for the current semester.In addition, a digital course evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.
The course description is retrieved from FS (Felles studentsystem). Version 1