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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.
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 | 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/Cole-Thompson
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/Cole-Thompson
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 |
| 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 №
on «
»
y.).
