Ternopil Ivan Puluj National Technical University

Каф. комп'ютерних систем та мереж

Computer Systems Modeling


1. Educational programs for which discipline is mandatory:

# Educational stage Broad field Major Educational program Course(s) Semester(s)
1 bachelor's 12. Інформаційні технології 123. Комп’ютерна інженерія (бакалавр) 3 5

2. The course is offered as elective for all levels of higher education and all educational programs.

3. Information about the author of the course

Full name Луцик Надія Степанівна
Academic degree PhD
Academic title none
Link to the teacher`s page on the official website of the department
Е-mail (in the domain

4. Information about the course

Study hours structure Lectures: 32
Practical classes: 0
Laboratory classes: 32

Amount of hours for individual work: 56
ECTS credits: 4
Teaching language english
Form of final examination exam
Link to an electronic course on the e-learning platform of the university

5. Program of discipline

Description of academic discipline, its goals, subject of study and learning outcomes

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.

The place of academic discipline in the structural and logical scheme of study according to the educational program

Prerequisites. List of disciplines, or knowledge and skills, possession of which students needed (training requirements) for successful discipline assimilation

Probability theory and mathematical statistics
Digital communication systems

Contents of the academic discipline

Lectures (titles/topics)

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 (topics)

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

Learning materials and resources

1. Proceedings of the 1999 Winter Simulation Conference, Jerry Banks, Introduction to


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


6. Policies and assessment process of the academic discipline

Assessment methods and rating system of learning results assessment

Based on the material of each of the two modules, electronic testing is conducted in an electronic training course on the distance learning server 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.

Table of assessment scores:

Assessment scale
(100 points)
(4 points)
90-100 Excellent А
82-89 Good B
75-81 C
67-74 Fair D
60-66 E
35-59 Poor FX
1-34 F
Approved by the department
(protocol №
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