FI:IV025 Simulation I - Course Information
IV025 Simulation I
Faculty of InformaticsAutumn 2003
- Extent and Intensity
- 2/2. 4 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
- Teacher(s)
- doc. RNDr. Václav Sedláček, CSc. (lecturer)
- Guaranteed by
- prof. PhDr. Karel Pala, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Contact Person: doc. RNDr. Václav Sedláček, CSc. - Timetable
- Mon 16:00–17:50 B011, Mon 18:00–19:50 B117
- Prerequisites (in Czech)
- ! I025 Simulation I
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Informatics (programme FI, B-IN)
- Informatics (programme FI, M-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-SS)
- Information Technology (programme FI, B-IN)
- Course objectives
- The nature of problems solved by simulation methods, typical outline of simulation systems. Random numbers generation methods and sampling; their applications into systems for discrete simulations. Calendars and simulation kernels and their use in systems for discrete simulations to solve problems hardly solvable by other methods.
- Syllabus
- Random numbers and random numbers generation, properties of random numbers generators, testing random numbers generators quality, methods how to improve the random numbers generators quality
- Using random numbers in various fields of informatics
- Random values, algorithms for sampling, discrete and continuous random values
- Discrete simulation, examples, system oriented to events and system oriented to processes
- Simular time, states of processes, state processes registration, their changes and implementig methods
- Function of calendars in simulation programs and the methods of their implementation
- Using adequate data types for calendars implementation
- Literature
- Fishman, George S. Monte Carlo - Concepts ,Algoritms, and Applications, Springer, 1996.
- Hušek, R. - Lauber,J. Simulační modely, SNTL, Praha 1987.
- Neuschl, Š. Modelovanie a simulácia, Alfa ,Bratislava, 1988.
- Zítek, František. Ztracený čas - Elementy teorie hromadné obsluhy, Academia, Praha 1969.
- Language of instruction
- Czech
- Further Comments
- The course is taught annually.
- Enrolment Statistics (Autumn 2003, recent)
- Permalink: https://is.muni.cz/course/fi/autumn2003/IV025