HrvatskihrEnglishen
Computer Simulations and Modelling
Computer Simulations and Modelling
Data is displayed for the academic year: 2025./2026.
Lecturers
Exercises
Lectures
Course Description
Acquisition of knowledge on different modeling and simulation methods, development of simulation models and their application in realistic military, technical and organizational systems. Multidisciplinary approach to modeling and simulations. Dissemination of acquired knowledge by applying different simulation tools. Theory and practice of application of commercial computer tools to build simulation models. Basics of application of expert systems and systems of artificial intelligence based on data mining and machine learning.
Study Programmes
graduate
Military Engineering - study
(1. semester)
Learning Outcomes
- Explain the structure and operation of the technical and organizational system (military and civil).
- Formulate a mathematical or experimental model of production, logistics and organizational systems.
- Suggest appropriate methods for predicting the characteristics of technical and organizational systems.
- Apply simulation in solving problems in manufacturing, logistics and organizational systems.
- Evaluate the chosen modeling method and simulation results in relation to the behavior and properties of the real system.
- Explain the application of the artificial intelligence method.
- Choose and apply suitable scenario of events on the battlefield.
- Evaluate and critically analyze the results of the battlefield simulation.
Forms of Teaching
Lectures
Classical ex cathedra lecture.
ExercisesPC lab exercizes.
OtherSimulation centre - practical work.
Week by Week Schedule
- Introduction to systems theory, modeling and simulation Definitions and basic elements of technical and organizational systems and processes (military and civil).
- Tasks and Modeling Objectives. Experimental and theoretical models. Preparation and development of simulation models.
- Computer simulations based on analytical and numerical models. Verification of computer simulations.
- Introduction to Game Theory. Basic elements, types and strategies of the game.
- Statistical analysis of the process. Statistical modeling and regression analysis.
- Modeling using Design of Experiments method.
- Mid term 1
- Discrete Events Simulation (DES). Enterprise Dynamics10 (ED10) and DES objects. Connecting DES objects, defining attributes, and managing events.
- Methodology of DES modelling with examples. Trends in DES.
- Basics of intelligent systems. Rule-based expert systems. Fuzzy expert systems. (online)
- Artificial neural networks. Basics of genetic algorithms and genetic programming. Fundamentals of machine learning and data mining. (online)
- Simulations in military education and training.
- The concept and capabilities of the VBS computer system. Operator training.
- JCATS Concept and Capabilities. The role of the doctors in the exercise of the exercise. The role of the operator and staff of the units in exercising the exercises.
- Mid term 2
Literature
Šošić, I. (2004.), Primijenjena statistika, Školska knjiga
Čerić, V. (1993.), Simulacijsko modeliranje, Školska knjiga
For students
General
ID 282246
Winter semester
6.0 ECTS
L0 English Level
L1 e-Learning
30 Lectures
45 Exercises