460-4018/01 – Modeling and Simulation Methods (MAS)

Gurantor departmentDepartment of Computer ScienceCredits4
Subject guarantorprof. Ing. Jan Platoš, Ph.D.Subject version guarantorprof. Ing. Jan Platoš, Ph.D.
Study levelundergraduate or graduateRequirementOptional
Year1Semesterwinter
Study languageCzech
Year of introduction2010/2011Year of cancellation2015/2016
Intended for the facultiesFEIIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
PLA06 prof. Ing. Jan Platoš, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Part-time Credit and Examination 4+2

Subject aims expressed by acquired skills and competences

The subject deals with fundamental principles of the methodology for system modeling and simulation. The methods for simulation of discrete systems are introduced. Students should be able to create simple simulation models, use them for the experimentation and to evaluate obtained results.

Teaching methods

Lectures
Experimental work in labs
Project work

Summary

The subject deals with fundamental principles of the methodology for system modeling and simulation. The methods for simulation of discrete systems are introduced. Students should be able to create simple simulation models, use them for the experimentation and to evaluate obtained results.

Compulsory literature:

Syllabus of subject "Modeling and Simulation Methods".

Recommended literature:

Fang, K.-T., Hickernell, F.J., and Niederreiter, H. (editor):Monte Carlo and Quasi-Monte Carlo Methods 2000. Springer-Verlag, New York, 2002. L'Ecuyer, P.: Random number generation. In Jerry Banks, editor(s), The Handbook of Simulation, pp. 93--137. Wiley, New York, 1998. Knuth, D.E.: The Art of Computer Programming, volume 2: Seminumerical Algorithms. Addison-Wesley, Reading, MA, 3rd edition, 1997. Fishwick P.: Simulation Model Design and Execution, PrenticeHall, 1995, ISBN 0-13-098609-7 The M/M/1 Queuing System, staff.um.edu.mt/jskl1/simweb/mm1.htm

Way of continuous check of knowledge in the course of semester

E-learning

Other requirements

Additional requirements are placed on the student.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Introduction into System theory, Introduction in modeling and simulation - basic definitions. Models and their classification. Introduction into Probability theory (Random events, probability, random variables) Continuous simulation Discrete simulation Queuing systems

Conditions for subject completion

Full-time form (validity from: 2010/2011 Winter semester, validity until: 2015/2016 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Exercises evaluation and Examination Credit and Examination 100 (100) 51
        Exercises evaluation Credit 40 (40) 20
                Project Project 40  20
        Examination Examination 60 (60) 31 3
                Examination of extended project Written examination 60  31
Mandatory attendence participation:

Show history

Conditions for subject completion and attendance at the exercises within ISP:

Show history

Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2014/2015 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P Czech Ostrava 1 Optional study plan
2014/2015 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K Czech Ostrava 2 Optional study plan
2013/2014 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P Czech Ostrava 1 Optional study plan
2013/2014 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K Czech Ostrava 2 Optional study plan
2012/2013 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P Czech Ostrava 1 Optional study plan
2012/2013 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K Czech Ostrava 2 Optional study plan
2011/2012 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P Czech Ostrava 1 Optional study plan
2011/2012 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K Czech Ostrava 1 Optional study plan
2010/2011 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P Czech Ostrava 1 Optional study plan
2010/2011 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K Czech Ostrava 1 Optional study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction



2014/2015 Winter
2013/2014 Winter
2012/2013 Winter
2011/2012 Winter