Modeling and simulation

Course title

Code

F23L3S131

Study programme

—

Organizer of the study programme (unit, institute, department)

Faculty of Computer Science and Engineering

Degree level (first, second, third cycle)

First cycle

Academic year / semester

8 / Summer

Number of ECTS credits

Teacher

Ласко Баснарков

Prerequisites for enrolling in the course

Веројатност и статистика или Основи на теорија на информации или Бизнис статистика или Математика 3

10.

Course objectives (competences)

The student will acquire knowledge of using modeling techniques in order to evaluate the behavior of real systems. The student will acquire the ability to construct, verify and solve
of models with different levels of abstraction and detail. It will also cover methods for fitting the state and parameters of models with real data, as well as predicting future behavior and "what-if" analyses.

11.

Course content

Lectures:
1. Introduction to modeling and simulation
2. Random number generation
3. Modeling of discrete systems
4. Modeling of continuous systems
5. Modeling of high-dimensional systems
6. Models with agents
7. Game theory models
8. Stochastic models and their application in finance
9. Waiting lines
10. Estimation of condition and parameters with real data and prediction of the future conduct
11. Optimization techniques
12. Methods for reducing dimensionality

Exercises:
1. Getting to know Python
2. Random number generation
3. Representation and simulation of examples from discrete systems
4. Representation and simulation of examples from continuous systems
5. Representation and simulation of high-dimensional systems
6. Models with agents
7. Simulations with game theory
8. Stochastic models and their application in finance
9. Waiting lines
10. Application of several algorithms for estimation on a real situation and parameters with real data and prediction of future behavior
11. Optimization techniques
12. Methods for reducing dimensionality

12.

Learning methods

Lectures supported by slide presentations, interactive lectures, exercises (using equipment and software packages), teamwork, case studies, guest lecturers, independent preparation and defense of a project assignment and seminar paper, learning in an electronic environment (forums, consultations).

13.

Total available time

6 ECTS x 30 hours = 180 hours

14.

Distribution of the available time

30 + 45 + 15 + 15 + 75 = 180 hours

15.

Forms of teaching activities

15.1.	Lectures – theoretical teaching	30 hours
15.2.	Exercises (laboratory, auditory), seminars, team work	45 hours

16.

Other forms of activities

16.1.	Project assignments	15 hours
16.2.	Individual assignments	15 hours
16.3.	Home study	75 hours

17.

Grading

17.1.	Tests	10 points
17.2.	Seminar paper / project (presentation: written and oral)	15 points
17.3.	Activity and participation	10 points
17.4.	Final exam	70 points

18.

Grading criteria (points / grade)

up to 50 points	5 (five) (F)
from 51 to 60 points	6 (six) (E)
from 61 to 70 points	7 (seven) (D)
from 71 to 80 points	8 (eight) (C)
from 81 to 90 points	9 (nine) (B)
from 91 to 100 points	10 (ten) (A)

19.

Requirements for signature and taking the final exam

completed activities 15.1 and 15.2

20.

Language of instruction

Macedonian and English

21.

Method of monitoring teaching quality

internal evaluation and survey mechanism

22.

Literature

22.1.

Required literature

22.2.

Additional literature

No. Author Title Publisher Year