Course: Advanced techniques of model. and simul.

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Course title Advanced techniques of model. and simul.
Course code KST/INTMS
Organizational form of instruction Lecture + Tutorial
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Kavička Antonín, prof. Ing. Ph.D.
  • Bažant Michael, doc. Ing. Ph.D.
Course content
Real-time/on-line simulation (operational planning - reactive versus pro-active approach). Agent-based architecture of simulation models (decomposition of the model into autonomous components, differences in comparison with event-driven and process-driven architectures). Application of artificial intelligence within simulation of systems. Petri nets (P/T Petri nets, coloured Petri nets, formal description related to components of simulation model). Distributed simulation (conservative and optimistic synchronization methods). HLA architecture of distributed simulation models (federate, Federation, RTI, model FOM, Model SOM). DIS- distributed interactive simulation (IEEE standard).

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Skills training
Learning outcomes
The main goal of the course is to familiarize students with advanced techniques and approaches of discrete simulation on digital computers as well as with exploitations of those experimental methods within the frame of different application domains.
Passing the course enables to manage advanced simulation techniques and design & construction of simulation models.
Prerequisites
There is expected elementary knowledge from the fields of discrete simulation, mathematical statistics and theory of probability.

Assessment methods and criteria
Oral examination, Written examination, Home assignment evaluation

Given assignment approves that a student attended lessons in a required scale and fulfilled qualified requirements (elaboration of simulation models focused on training of specific simulation techniques).
Recommended literature
  • Banks, J. Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice. New York, John Wiley & Sons, 1998. ISBN 0-471-13403-9.
  • Jensen, K. Coloured Petri nets - basic concepts. Berlin: Springer Verlag, 1997. ISBN 978-0387582764.
  • Kavička, Antonín. Agentovo orientovaná simulácia dopravných uzlov. Žilina: EDIS - vydavatel'stvo ŽU, 2005. ISBN 80-8070-477-5.
  • Kelton, W. et al. Simulation with Arena. New York, McGraw-Hill, 2004. ISBN 0-07-285694-7.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Information Technology (2014) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Information Technology (2016) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Information Technology (2015) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Winter