IV1200 System Modelling and Simulation 7.5 credits
This course has been discontinued.
Last planned examination: Autumn 2015
Decision to discontinue this course:
No information inserted
Level: Advanced
The overall aim of the course is to provide an understanding of methods, techniques and tools for modeling, simulation and performance analysis of complex systems such as communication and computer networks.
Content and learning outcomes
Course contents
-basic concepts in discrete event simulation (DES)
- classification of simulation models
- design of discrete-Event Simulation (DES)
- random number generation
- Input data modeling
- verification and validation of simulation models
- output data analysis
- introduction to parallel and distributed simulation
- introduction to design of experiments
Intended learning outcomes
This understanding means that after the course you should be able to
1.- Define basic concepts in modeling and simulation (M&S)
2. Classify various simulation models and give practical examples for each category
3. Construct a model for a given set of data and motivate its validity
4. Generate and test random number variates and apply them to develop simulation models
5. Analyze output data produced by a model and test validity of the model
6. Explain parallel and distributed simulation methods
Course disposition
Literature and preparations
Specific prerequisites
- A Programming course as ID1004 Objectoriented Programming 7.5 hp or an equivalent course
- SF1901 Probability Theory and Statistics 6 hp or an equivalent course
Recommended prerequisites
- Introductory course in Computer Science
- Introductory course in mathematical statistics
- Good knowledge in some programming language (C, C++, or Java)
Equipment
Literature
Kursbok:
Discrete-Event System Simulation , Jerry Banks, John S. Carson II, Barry L. Nelson and David M. Nicol
Upplaga: 5th Edition Förlag: Pearson Education, Inc År: 2010
Övrig litteratur
- Simulation Modeling and Analysis (3rd Edition). Averill M. Law, W. David Kelton, McGraw-Hill 2000
- Discrete-Event Simulation, A First Course. Larry H Leemis, Stephen K. Park, published by Prentice Hall 2006
- Simulation With Arena, (4th Edition). David Kelton, Randall P. Sadowski, and David T. Sturrock , McGraw-Hill 2007
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
- LAB1 - Laboratory Work, 3.0 credits, grading scale: P, F
- TEN1 - Examination, 4.5 credits, grading scale: A, B, C, D, E, FX, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Other requirements for final grade
The course consists of a theoretical and a practical part.
The theoretical part gives 4.5 credits and is assessed by a written exam, with grades A-F. You must fulfill objectives 1 -4 above to get a pass grade. In addition, for higher grades you must fulfill objectives 5 and 6.
The practical part gives 3 credits. This part consists of two project assignments. The grade for this part is pass or fail.
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course web
Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.
Course web IV1200