Industrial Engineering
Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Industrial Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Industrial Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 15260607 | Simulation Systems | 2025 | Spring | 6 | 3+1+0 | 3,5 | 5 |
| Course Type | Compulsory |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | Prof. Murat DARÇIN |
| Instructor(s) | Asst. Prof. Sercan DEMİR |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Asst. Prof. Esra BOZ | A-306 | [email protected] | 7677 |
Course Content
Definition of the systems simulation approach. Fundamental concepts used in simulation systems. Determining the stages of a simulation system study. Examining the statistical and probabilistic concepts used in simulation systems. Overview of systems simulation languages. Designing simulation models for discrete systems. Programming simulation models. Verification and validity analysis. Output analysis. Case studies related to production and service systems.
Objectives of the Course
Analyzing and analyzing a system in a computer environment and analyzing its behavior in the light of the data defined by using a probability density function.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | X |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P5 | The ability to use research methods, including literature review, experimental design, experiment execution, data collection, analysis, and interpretation of results, to investigate complex industrial engineering problems. | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Develop simulation models manually and using Excel. | P.5.40 | 1 |
| O2 | Perform input analysis in simulation. | P.5.41 | 1 |
| O3 | Perform output analysis in simulation. | P.5.42 | 1 |
| O4 | Understand the fundamentals of the Arena/Siman simulation software. | P.5.43 | 1 |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Introduction to simulation, advantages, disadvantages and application areas of simulation. |
| 2 | Discrete and Continuous Systems, manual simulation examples |
| 3 | Time advance procedures in discrete event system simulation |
| 4 | Statistical models used in simulation |
| 5 | An overview of tail models |
| 6 | Production of random numbers and random variables |
| 7 | Input analysis |
| 8 | Midterm |
| 9 | Accuracy and validity test in simulation models |
| 10 | Output analysis of single simulation model |
| 11 | Comparison and evaluation of alternative system designs |
| 12 | SIMAN / ARENA simulation program to develop simulation models of systems |
| 13 | SIMAN / ARENA simulation program to develop simulation models of systems |
| 14 | SIMAN / ARENA simulation program to develop simulation models of systems |
| 15 | Final sınavına hazırlık |
Textbook or Material
| Resources | Law, A.M., Kelton, W.D., Simulation Modelling and Analysis |
| Pegden, C.D., Shannon, R.E., and Sadowski, R.P. Introduction to Simulation Using SIMAN (2nd ed.),1995 |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Field Study | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Seminar | - | - |
| Quiz | - | - |
| Listening | - | - |
| Midterms | 1 | 40 (%) |
| Final Exam | 1 | 60 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 3 | 42 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 3 | 42 |
| Midterms | 1 | 20 | 20 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 14 | 1 | 14 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 32 | 32 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 150 | ||
| Total Work Load / 30 | 5 | ||
| Course ECTS Credits: | 5 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P5 |
|---|---|---|
| O1 | Develop simulation models manually and using Excel. | 5 |
| O2 | Perform input analysis in simulation. | 5 |
| O3 | Perform output analysis in simulation. | 5 |
| O4 | Understand the fundamentals of the Arena/Siman simulation software. | 5 |