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IV1200 System Modelling and Simulation 7.5 credits

Systemmodellering och simulering

Please note

This course is dormant.

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.

  • Educational level

    First cycle

  • Academic level (A-D)

    C

  • Subject area

    Information Technology
    Techonology

  • Grade scale

    A, B, C, D, E, FX, F

At present this course is not scheduled to be offered.

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 main content

-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

Eligibility

- 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

Prerequisites

- Introductory course in Computer Science
- Introductory course in mathematical statistics
- Good knowledge in some programming language (C, C++, or Java)

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

  • LAB1 - Laboratory Work, 3.0 credits, grade scale: P, F
  • TEN1 - Examination, 4.5 credits, grade scale: A, B, C, D, E, FX, F

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.

Offered by

ICT/Software and Computer system

Contact

Ayani, Rassul

Examiner

Rassul Ayani <ayani@kth.se>

Version

Course plan valid from: Autumn 12.
Examination information valid from: Autumn 07.