SOCIOLOGY | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
INE4011 | System Simulation | Fall | 2 | 2 | 3 | 6 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Non-Departmental Elective |
Course Level: | Bachelor’s Degree (First Cycle) |
Mode of Delivery: | Face to face |
Course Coordinator : | Prof. Dr. MUSTAFA ÖZBAYRAK |
Course Lecturer(s): |
Prof. Dr. MUSTAFA ÖZBAYRAK RA ESRA ADIYEKE Prof. Dr. FAİK TUNÇ BOZBURA |
Recommended Optional Program Components: | None |
Course Objectives: | This course is designed for junior level Industrial Engineering and close disciplines' students to give the fundamental concepts of modelling and analysis of discrete systems. The course aims to provide rigorous input and output analyses of the simulation model created using the statistical and probabilistic concepts as well as modelling the discrete systems, with the examples from both manufacturing and service systems using a general purpose simulation software. |
The students who have succeeded in this course; I. Recognize the basic principles of simulation modeling. II. Define and use appropriate performance metrics when modeling a system. III. Recognize the basic concepts of a discrete event simulation model including model components, flowchart, and event list. IV. Collect and manage performance measurement data. V. Data collection or production from a sample data set. Statistical analysis of the sample data to estimate or approximate the probabilistic distribution and its parameters. VI. Modelling and analysis of discrete event simulation models of both manufacturing and service systems using generic simulation program called ARENA. VII. Developing simulation models that address critical research issues and/or industrial systems. VIII. Recognizing how a computer simulation program can be used to model complex systems and solve related decision problems under different working conditions, which are presented through several what-if scenarios and analyses. IX. Running a simulation model under different scenarios through either short-term but with consecutive replications or one very long run to get turely random output and their statistical analyses. X. Apply a simulation project from start to finish following the stages, data collection or generation, designing the model, building the model, creating the working scenarios, running the simulation with multiple replications and statistical analyses of the output generated. |
This course is an alternative modelling method to mathematical optimization to model the complex systems. This course aims to teach the fundamental principles of simulation modelling, its steps, data creation, design and create a simulation model with the help of a simulation software, running the model under different system scenarios, obtaining the output as well as analysing and reporting output. |
Week | Subject | Related Preparation |
1) | Introduction to Simulation modeling | |
2) | A guided tour of modelling steps in Simulation. | |
3) | Statistics and Probability for Simulation Modelling I | |
4) | Statistics and Probability for Simulation Modelling II | |
5) | Modelling a simple system using ARENA | |
6) | System Modelling I | |
7) | System Modelling II | |
8) | Selecting the Input Analysis I | |
9) | Selecting Input Probability Distribution II | |
10) | System Modelling I | |
11) | Random Number Generation and Animasions | |
12) | Modelling Complex Systems | |
13) | Output Analysis | |
14) | Output Analysis II | |
15) | Entity Transfer in Modelling | |
16) | Simulation of Manufacturing Systems |
Course Notes / Textbooks: | W. D. Kelton, R. P. Sadowski, D. T. Sturrock, Simulation with Arena-6th Edition, McGraw-Hill, 2015. J. Banks, J. S. Carson II, B. L. Nelson, D.M. Nicol, Discrete-Event System Simulation, 5th Edition, Prentice Hall, 2010. |
References: | Lecture Notes and supporting materials collected from several academic resources as well as company reports and white papers. |
Semester Requirements | Number of Activities | Level of Contribution |
Quizzes | 2 | % 10 |
Homework Assignments | 4 | % 10 |
Project | 1 | % 20 |
Midterms | 1 | % 20 |
Final | 1 | % 40 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 40 | |
PERCENTAGE OF FINAL WORK | % 60 | |
Total | % 100 |
Activities | Number of Activities | Workload |
Course Hours | 14 | 28 |
Laboratory | 14 | 28 |
Study Hours Out of Class | 13 | 34 |
Project | 3 | 9 |
Homework Assignments | 2 | 6 |
Quizzes | 2 | 18 |
Midterms | 1 | 10 |
Final | 1 | 12 |
Total Workload | 145 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | To learn and compare major sociology perspectives, both classical and contemporary, and apply all of them to analysis of social conditions. | |
2) | To be able to identify the basic methodological approaches in building sociological and anthropological knowledge at local and global levels | |
3) | To be able to use theoretical and applied knowledge acquired in the fields of statistics in social sciences. | |
4) | To have a basic knowledge of other disciplines (including psychology, history, political science, communication studies and literature) that can contribute to sociology and to be able to make use of this knowledge in analyzing sociological processes | |
5) | To have a knowledge and practice of scientific and ethical principles in collecting, interpreting and publishing sociological data also develop ability how to share this data with experts and lay people, using effective communication skills | |
6) | To develop competence in analyzing and publishing sociological knowledge by using computer software for quantitative and qualitative analysis; and develop an attitute for learning new techniques in these fields. | |
7) | To identify and to have a knowledge of the theories related to urban and rural sociology and demography, and political sociology, sociology of gender, sociology of body, visual sociology, sociology of work, sociology of religion, sociology of knowledge and sociology of crime. | |
8) | To have knowledge of how sociology is positioned as a scientific discipline from a philosophical and historical perspective | |
9) | To have the awareness of social issues in Turkish society, to develop critical perspective in analysing these issues and to have a knowledge of the works of Turkish sociologists and to be able to transfer this knowledge | |
10) | To have the awareness of social issues and global societal processes and to apply sociological analysis to development and social responsibility projects | |
11) | To have the ability to define a research question, design a research project and complete a written report for various fields of sociology, either as an individual or as a team member. | |
12) | To be able to transfer the knowledge gained in the areas of sociology to the level of secondary school. |