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 | 3 | 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) | - |
| Instructor Assistant(s) | - |
Course Content
Sistem benzetim yaklaşımının tanımı. Benzetim sistemlerinde kullanılan temel kavramlar. Benzetim sistem çalışmasının aşamalarının belirlenmesi. Benzetim sistemlerinde yararlanılan istatistik-olasılık kavramlarının incelenmesi. Sistem Benzetim dillerine genel bakış. Süreksiz sistemlerin benzetim modellerinin tasarımı. Benzetim modellerinin programlanması. Doğrulama ve geçerlilik analizi. Çıktı analizi. Üretim ve hizmet sistemleriyle ilgili örnek çalışmalar.
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 | Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex problems or discipline-specific research topics in the field of Industrial Engineering | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Elle ve Excel üzerinden simülasyonu modeli geliştirebilir. | P.5.40 | 1 |
| O2 | Simülasyonda girdi analizi yapabilir. | P.5.41 | 1 |
| O3 | Simülasyonda çıktı analizi yapabilir. | P.5.42 | 1 |
| O4 | Arena/Siman simülasyon yazılımının temellerini bilir. | 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 | Pegden, C.D., Shannon, R.E., and Sadowski, R.P. Introduction to Simulation Using SIMAN (2nd ed.),1995 |
| 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 | Elle ve Excel üzerinden simülasyonu modeli geliştirebilir. | 5 |
| O2 | Simülasyonda girdi analizi yapabilir. | 5 |
| O3 | Simülasyonda çıktı analizi yapabilir. | 5 |
| O4 | Arena/Siman simülasyon yazılımının temellerini bilir. | 5 |