Modeling and Simulation Environments

Објавено: October 12, 2018
  1.    Course Title Modeling and Simulation Environments
  2.    Code 3ФЕИТ07Л017
  3.    Study program KTI
  4.    Organizer of the study program (unit, institute, department) Faculty of Electrical Engineering and Information Technologies
  5.    Degree (first, second, third cycle) First cycle
  6.    Academic year/semester IV/8   7.    Number of ECTS credits 6.00
  8.    Lecturer Dr Marija Kacarska
  9.    Course Prerequisites Passed: Data Structures and Algorithm Analysis

10.    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.

11.    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.
12.    Learning methods:  Laboratory exercises, practical work and lectures
13.    Total number of course hours 2 + 2 + 1 + 0
14.    Distribution of course hours 180
15.    Forms of teaching 15.1. Lectures-theoretical teaching 30
15.2. Exercises (laboratory, practice classes), seminars, teamwork 45
16.    Other course activities 16.1. Projects, seminar papers 10
16.2. Individual tasks 25
16.3. Homework and self-learning 70
17.    Grading 17.1. Exams 10
17.2. Seminar work/project (presentation: written and oral) 30
17.3. Activity and participation 0
17.4. Final exam 60
18.    Grading criteria (points) 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.    Conditions for acquiring teacher’s signature and for taking final exam Laboratory exercises
20.  Forms of assessment During the semester, two tests are provided (at the middle and at the end of the semester, lasting 120 minutes), activities that include preparation of seminar papers, and points from laboratory exercises (after the exercises). The final grade includes points from all activities.
It is not allowed to use books, scripts, manuscripts or notes of any kind during the exam, as well as a calculator, mobile phone, tablet or any other electronic device
21.  Language Macedonian and English
22.  Method of monitoring of teaching quality Internal evaluation and surveys
23.  Literature
23.1. Required Literature
No. Author Title Publisher Year
1 Averill M. Law Simulation Modeling and Analysis, 5th Ed. McGraw Hill 2014
2 Fishwick P. Simulation Model Design and Execution PrenticeHall (Pearson) 1995
3 Ross М. Sheldon Simulation Academic Press 2012