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Dette er studietilbudet for studieår 2020-2021.


This course first introduces Petri net theory; then, the theory is used for modeling, simulation and performance analysis of discrete event systems.

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.

Contents

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.

Required prerequisite knowledge

None.

Exam

Written exam and assignment(s)
Weight Duration Mark Supporting materials
Written exam40/1004 hoursA - FNo printed or written materials are allowed. Approved basic calculator allowed.
Project work60/100 A - FAll.
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).

Course teacher(s)

Course coordinator
Reggie Davidrajuh
Head of Department
Tom Ryen

Method of work

4 hours lectures and 2 hours exercises.

Overlapping courses

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

Open to

Computer Science - Master's Degree Programme
Industrial Automation and Signal Processing - Master's Degree Programme - 5 year
Robot Technology and Signal Processing - Master's Degree Programme

Course assessment

Form and/or discussion.

Literature


Link to reading list


Dette er studietilbudet for studieår 2020-2021.

Last updated: 04.07.2020