| Week |
Subject |
Related Preparation |
| 1) |
Course introduction |
text book |
| 2) |
Basic Concepts Related to Simulation and Modeling: Definition of Simulation, Advantages and Disadvantages of Simulation, Application Areas, System and System Environment, Elements of the System, Discrete and Continuous Systems, Model Concept, Classification of Models, Classification of Simulation Models, Concept of Continuous and Discrete Simulation, Simulation Study |
text book |
| 3) |
Fundamentals of Simulation and Monte Carlo Simulation in MS Excel: Fundamentals of Simulation in MS Excel, Structure of Simulation Sheet in MS Excel, Monte Carlo Simulation |
text book |
| 4) |
Fundamentals of Simulation in MS Excel and Monte Carlo Simulation: Examples of Simulation in MS Excel: Coin Flip, Random Service Time, Random Interarrival Time, Demand Forecast |
text book |
| 5) |
Discrete Event System Simulation and Manual Simulation: Coin Flip Game Simulation, Queuing Systems Simulation, Queuing Simulation in MS Excel, Fundamentals of Manual Simulation |
text book |
| 6) |
Inventory Systems Simulation: Inventory Systems Simulation, Inventory Simulation in MS Excel, Newspaper Seller Simulation, (M,N) Inventory System Simulation Statistical Terminology and Review of Distributions: Discrete random variables, Continuous random variables, Cumulative distribution function, Expected Value, Some important Discrete distributions, Some important continuous distributions, Empirical distributions |
text book |
| 7) |
Use of Statistical Distributions and Models in Simulation Statistical Knowledge in Simulation Studies, Input Analysis: 1) Data Collection, 2) Determination of Probability Distributions, Histogram, Uses of Distributions, Important Features of the Poisson Process |
text book |
| 8) |
midterm |
text book |
| 9) |
Validation and Validation of Simulation Models: Definitions of Model Validation and Model Validity, Validation of Simulation Models, Steps and Methods to be Used to Test the Validity of Simulation Models |
text book |
| 10) |
Validation and Validation of Simulation Models: Definitions of Model Validation and Model Validity, Validation of Simulation Models, Steps and Methods to be Used to Test the Validity of Simulation Models |
text book |
| 11) |
Output Analysis: Output Data Analysis for a Single System |
text book |
| 12) |
Simulation Languages and Package Programs: History of Simulation Software, General Introductions of Simulation Package Programs ARENA Simulation Package Program: Introduction of ARENA Simulation Package Program, Introduction of Simple Modules and Simple Simulation Models |
text book |
| 13) |
ARENA Simulation Package Program: Arena Input Analysis, Simulation Model Examples, Animation Examples |
text book |
| 14) |
ARENA Simulation Package Program: Introduction of Advanced Modules, Simulation of a Production System with ARENA, Analysis of Outputs |
text book |
| 15) |
ARENA Simulation Package Program: Introduction of Advanced Modules, Simulation of a Production System with ARENA, Analysis of Outputs |
text book |
| 16) |
final |
text book |
| |
Program Outcomes |
Level of Contribution |
| 1) |
Adequate knowledge of mathematics (a), science (b) and industrial engineering (c) (1) and the ability to use this knowledge in complex engineering problems. |
|
| 2) |
Ability to work effectively both individually and in interdisciplinary and multidisciplinary teams. |
|
| 3) |
Awareness of the necessity of lifelong learning and the ability to access information, to follow developments in science and technology, and to constantly renew oneself. |
|
| 4) |
Knowledge of project management, risk management, innovation and change management, entrepreneurship and sustainable development |
|
| 5) |
Awareness of the sectors and the ability to prepare a business plan. |
|
| 6) |
Professional and ethical responsibility awareness and acting in accordance with ethical principles. |
|
| 7) |
Information about the problems of the age in the field of engineering and the effects and legal consequences of engineering practices on health, environment and safety in universal and social dimensions. |
|
| 8) |
Information about current engineering practices and standards used in engineering practices. |
|
| 9) |
The ability to identify, formulate and solve complex engineering problems, and the ability to select and apply appropriate analysis and modeling methods for this purpose. |
|
| 10) |
The ability to design a complex system, process, device or product using modern methods under realistic constraints and conditions and to meet specific requirements. |
5 |
| 11) |
The ability to develop, select and use modern techniques and tools necessary for the solution of engineering problems, and the ability to use information technologies effectively. |
|
| 12) |
Ability to design and conduct experiments, collect data, analyze data and interpret results for the study of engineering problems or research issues. |
|
| 13) |
Ability to communicate effectively, write reports and make presentations in Turkish and English with oral, written and visual methods. |
|
| 14) |
In-depth knowledge of appropriate analytical and experimental methods and computational methods for system integration such as simulation (a), production systems (b) operations research (c) and statistics (d). |
5 |
| 15) |
Skills in designing (a) and improving (b), defining goals and criteria (c), analyzing (d) and developing solutions (e) systems that include people, materials, information, equipment and energy to creatively solve real-life problems |
|
BİLGİ PAKETİ / DERS KATALOĞU
