- 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||40/100||4 hours||A - F||No printed or written materials are allowed. Approved basic calculator allowed. |
|Project work||60/100||A - F||All. |
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).
Method of work
|Discrete Simulation and Performance Analysis (MID280_1)||10|
Industrial Automation and Signal Processing - Master's Degree Programme - 5 year
Robot Technology and Signal Processing - Master's Degree Programme
Link to reading list
Last updated: 04.07.2020