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 2025-2026. Please note that changes may occur.

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

Course code

DAT530

Version

1

Credits (ECTS)

10

Semester tution start

Autumn

Number of semesters

1

Exam semester

Autumn

Language of instruction

English

Offered by
Time table

View course schedule

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

None

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

Course teacher(s)

Course teacher:

Reggie Davidrajuh

Head of Department:

Tom Ryen

Method of work

4 hours lectures and 2 hours exercises.

Overlapping courses

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

Open for

Computer Science - Master of Science Degree Programme
Exchange programme at Faculty of Science and Technology

Admission requirements

Must meet the admission requirements of one of the study programmes the course is open for.

Course assessment

The faculty decides whether early dialogue will be held in all courses or in selected groups of courses. The aim is to collect student feedback for improvements during the semester. In addition, a digital course evaluation must be conducted at least every three years to gather students’ experiences.

Literature

The syllabus can be found in Leganto