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 2022-2023. Merk at det kan komme endringer.

See course description and exam/assesment information for this semester (2024-2025)

Semesters

Fakta

Emnekode

DAT530

Vekting (stp)

10

Semester undervisningsstart

Autumn

Undervisningsspråk

English

Antall semestre

1

Vurderingssemester

Autumn

Content

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 Exam system Withdrawal deadline Exam date
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).

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

Form and/or discussion.

Litteratur

Book Petri Nets for Modeling of Large Discrete Systems Davidrajuh, Reggie, isbn:9789811652035, E-book Modeling Discrete-Event Systems with GPenSIM : An Introduction Davidrajuh, Reggie, Cham :, Imprint Springer; Springer International Publishing , 1 online resource (144 pages), 2018., isbn:3-319-73102-5, Book Petri net theory and the modeling of systems Peterson, James L., [Englewood Cliffs, N.J.], Prentice-Hall, XII, 290 s., cop. 2019, isbn:9781080591176,
The course description is retrieved from FS (Felles studentsystem). Version 1