INE4011 System SimulationBahçeşehir UniversityDegree Programs PERFORMING ARTSGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
PERFORMING ARTS
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
INE4011 System Simulation Spring
Fall
2 2 3 6
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

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.

Learning Outcomes

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.

Course Content

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.

Weekly Detailed Course Contents

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

Sources

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.

Evaluation System

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

ECTS / Workload Table

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

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) They acquire theoretical, historical and aesthetic knowledge specific to their field by using methods and techniques related to performing arts (acting, dance, music, etc.). 2
2) They have knowledge about art culture and aesthetics and they provide the unity of theory and practice in their field. 2
3) They are aware of national and international values in performing arts. 2
4) Abstract and concrete concepts of performing arts; can transform it into creative thinking, innovative and original works. 1
5) They have the sensitivity to run a business successfully in their field. 3
6) Develops the ability to perceive, think, design and implement multidimensional from local to universal. 3
7) They have knowledge about the disciplines that the performing arts field is related to and can evaluate the interaction of the sub-disciplines within their field. 2
8) They develop the ability to perceive, design, and apply multidimensionality by having knowledge about artistic criticism methods. 3
9) They can share original works related to their field with the society and evaluate their results and question their own work by using critical methods. 1
10) They follow English language resources related to their field and can communicate with foreign colleagues in their field. 1
11) By becoming aware of national and international values in the field of performing arts, they can transform abstract and concrete concepts into creative thinking, innovative and original works. 3
12) They can produce original works within the framework of an interdisciplinary understanding of art. 2
13) Within the framework of the Performing Arts Program and the units within it, they become individuals who are equipped to take part in the universal platform in their field. 3
14) Within the Performing Arts Program, according to the field of study; have competent technical knowledge in the field of acting and musical theater. 2
15) They use information and communication technologies together with computer software that is at least at the Advanced Level of the European Computer Use License as required by the field. 3