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

No information inserted

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

No information inserted

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

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale *

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

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

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Mihhail Matskin

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.

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.

Offered by

ICT/Software and Computer system

Main field of study *

Information Technology, Technology

Education cycle *

First cycle

Add-on studies

No information inserted

Contact

Mihhail Matskin