Modeling and Simulation Environments

Course title: Modeling and Simulation Environments

Code: 3ФЕИТ07Л017

Number of credits (ECTS): 6

Weekly number of classes: 2+2+1+0

Prerequisite for enrollment of the subject: Passed: Data Structures and Algorithm Analysis

Course Goals (acquired competencies): Introduction to the concepts of modeling and representation models for objects and real-life systems. Concepts for simulations and tools. Upon completion of the course, the students will be able to work independently with a variety of models and modeling techniques and their usage in a computer system, as well as performing and analyzing  simulations.

Total available number of classes: 180

Course Syllabus: Introduction to the modeling concepts. Environments. Models. Analytical methods in modeling. Modeling with Markov Processes. Modeling with discrete state automaton and Petri nets. Methods for analyzing and combining models. Analysis and model updates.  Simulation. Techniques and tools. Simulation environments. Terms. Stepped simulations. Event driven simulations. Generating (pseudo) random numbers for simulations. Probability and statistics in the simulations. Applications. Simulation of computer systems and computer networks. Processing and analysis of simulation data and statistical processing.

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