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 2022-2023
Semester tution start
Number of semesters
Language of instruction
- 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
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).Both project and exam must be passed to get a final grade in the course.
Course coordinator:Reggie Davidrajuh
Head of Department:Tom Ryen
Method of work
|Discrete Simulation and Performance Analysis (MID280_1)||10|