Course - Advanced Dicrete Event Simulation Methodology - TM8105
TM8105 - Advanced Dicrete Event Simulation Methodology
About
Examination arrangement
Examination arrangement: Written examination
Grade: Letters
Term:
Autumn
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| Written examination | 100/100 | 4 timer |
Examination arrangement
Examination arrangement: Oral examination
Grade: Letters
Term:
Spring
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| Oral examination | 100/100 |
Course content
The course is taught every second year, next time autumn 2009. The course is about simulation methods, like process oriented simulation, Markov-simulation, trace-driven simulation. Objects, mechanisms and primitives in discrete event simulation. Development of simulators based on the previously mentioned issues. (Various relevant tools/languages will be presented, discussed and used in exercises.) Planning of experiments with emphasis on control of the uncertainty (error) in the results. Statistical analysis of simulation results and presentation of results. As a part of this, techniques like replication, sectioning (batch mean), bootstrapping, jackknifing. Variance reducing techniques like control variables, stratified sampling, restart/splitting, importance sampling.
Learning outcome
Mastering of various techniques for discrete event simulation. Obtain insight into how fundamental simulation concepts can and should be implemented. Be able to plan, carry out, and extract and present results from simulation studies. Knowledge of techniques for reduction of variance and reduced simulation times.
Learning methods and activities
Colloquia/interactive lectures, where it is expected that the students have familiarized themselves with the topic on beforehand. Optional exercises. If there are more than 5 candidates written exam may be considered.
Recommended previous knowledge
Basic knowledge of modelling of information and communication systems as basis for dependability and traffic evaluations; knowledge in discrete event simulation, e.g. as covered by "TTM4110 Dependability and performance with discrete event simulation". Further practical experience with discrete event simulation is advantageous.
Required previous knowledge
None
Course materials
Announced at the beginning of the term. Excerpts from textbooks, which may be supplemented by journal and conference papers, etc. Manuals for simulation tools for exercises.
Version: 1
Credits:
7.5 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: AUTUMN 2009
Language of instruction: English
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- Applied Information and Communication Technology
- Computer Systems
- Operations Research
- Safety and Reliability
- Safety, Reliability and Maintenance
- Telecommunication
- Telematics
- Bjarne Emil Helvik
- Bjarne Emil Helvik
- Poul Einar Heegaard
Department with academic responsibility
Department of Information Security and Communication Technology
Examination
Examination arrangement: Written examination
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD Written examination 100/100 2010-02-19 09:00
-
Room Building Number of candidates
Examination arrangement: Oral examination
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Spring ORD Oral examination 100/100
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"