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Ternopil Ivan Puluj National Technical University

Факультет комп'ютерно-інформаційних систем і програмної інженерії

Кафедра комп'ютерних систем та мереж

Computer Systems Modeling

syllabus

Major 123 - Комп’ютерна інженерія (бакалавр)
Field of knowledge 12 Інформаційні технології
Academic degree bachelor's
Course
Course type elective
special education
Study start course 3
Semesters 5
Form of education full-time
Study hours structure
32– lectures
32– laboratory classes
Amount of hours for individual work 56
ECTS credits 4
Form of final examination exam
Lecturer
Academic degree PhD
Full name Луцик Надія Степанівна
Prerequirements (prerequisite courses)
Probability theory and mathematical statistics
Digital communication systems 
Course goals and learning objectives
The aims of this course are to gain the knowledge about system and its behavior so that a person can transform the physical behavior of a system into a mathematical model that can in turn transform into a efficient algorithm for simulation purpose. 
Course description
Lectures 1. System Models and System Simulation
2. Verification and Validation of Models
3. Probability Theory
4. Stochastic Processes
5. Queuing Theory
6. Differential Equations in Simulation
7. Discrete System Simulation
8. Continuous Simulation
Laboratory classes 1. General Techniques for Generating Random Variables
2. Generating Continuous Random Variables
3. Probability Concepts
4. Markov Chain Modeling
5. G/G/1 Queuing System Modeling
6. M/M/1 Queuing System Modeling
7. Differential Equations in Simulation
Assessment criteria
Based on the material of each of the two modules, electronic testing is conducted in an electronic training course on the distance learning server dl.tntu.edu.ua. For each of the tests (20 questions) you can get a maximum of 20 points.
Each performed laboratory work is estimated at a maximum of 5 points. 
Recommended reading list. Subject Resources
1. Proceedings of the 1999 Winter Simulation Conference, Jerry Banks, Introduction to

Simulation

2. Bernard P. Zeigler, Herbert Praehofer, and Tag Gon Kim. Theory of Modelling and

Simulation: Integrating Discrete Event and Continuous Complex Dynamic Systems.

Academic Press, second edition.

3. Banks, Carson, Nelson & Nichol, Discrete Event System Simulation, Prentice Hall.

4. G.Gorden, “System Simulation”,PHI.

5. N. Deo , “ System Simulation”, PHI.

6. Giordano, Frank R., Maurice D. Weir, and William P. Fox. 2003. A First Course in

Mathematical Modeling. 3rd ed. Pacific Grove, Calif.: Brooks/Cole-Thompson

Learning. 
Course author
Луцик Надія Степанівна 
Дата останнього оновлення: 2020-12-01 09:59:54