Ternopil Ivan Puluj National Technical University
Каф. комп'ютерних систем та мереж
Computer Systems Modeling
syllabus
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 University  http://library.tntu.edu.ua/personaliji/a/l/lucyknadijastepanivna/ 
Еmail (in the domain tntu.edu.ua) 
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 elearning platform of the university  https://dl.tntu.edu.ua/bounce.php?course=5443 
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
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
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
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
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/ColeThompson
Learning.
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/ColeThompson
Learning.
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 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.
Each performed laboratory work is estimated at a maximum of 5 points.
Table of assessment scores:
Assessment scale  
VNZ (100 points) 
National (4 points) 
ECTS 
90100  Excellent  А 
8289  Good  B 
7581  C  
6774  Fair  D 
6066  E  
3559  Poor  FX 
134  F 
Approved by the department
(protocol №
on «
»
y.).