| School/Faculty/Institute | Faculty of Engineering | |||||||||
| Course Code | IE 304 | |||||||||
| Course Title in English | Simulation | |||||||||
| Course Title in Turkish | Simülasyon | |||||||||
| Language of Instruction | EN | |||||||||
| Type of Course | Flipped Classroom | |||||||||
| Level of Course | Select | |||||||||
| Semester | ||||||||||
| Contact Hours per Week |
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| Estimated Student Workload | 155 hours per semester | |||||||||
| Number of Credits | 6 ECTS | |||||||||
| Grading Mode | Standard Letter Grade | |||||||||
| Pre-requisites |
MATH 228 - Probability and Statistics for Engineering II |
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| Co-requisites | None | |||||||||
| Expected Prior Knowledge | Basic probability and statistics knowledge | |||||||||
| Registration Restrictions | MATH 228 | |||||||||
| Overall Educational Objective | To learn the basic simulation modeling and programming concepts | |||||||||
| Course Description | This is a hands-on course on simulation for undergraduate students. The course includes simulation modeling and programming in general-purpose languages. The use of simulation for estimation, comparison of alternatives and optimization will be addressed. The course covers random number generation and testing, input data analysis, simulation model validation and verification, discrete event simulation, statistical output analysis and experimental design. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) Gerçek sistemlerdeki temel kavramları simülasyon modellerine dönüştürmek üzere anlar. 2) Simülasyon modellerini tanımlamak için gerçek sistemlerin kavramsal temsillerini tasarlar. 3) Modern araçları kullanarak ayrık olay simülasyon modellerini doğrular ve onaylar. 4) İstatistiksel araçlar kullanarak simülasyon çıktıları analiz eder ve karşılaştırır. 5) Modellerin oluşturulduğu sistemler için alternatifleri değerlendirmek üzere ne olursa olsun senaryoları oluşturur. 6) Belirlenmiş prosedürlere göre simülasyonda deneyler yapar ve sonuçları raporlar. 7) bir ekibin üyesi olarak etkili bir şekilde çalışır, etkili sözlü, yazılı, sanal ve grafiksel iletişimleri düzenler ve sunar, 8) sistemlerdeki sorunlar için çözüm alternatifleri önerir ve performans ölçütlerini oluşturur ve değerlendirir, 9) kullanıcı ihtiyaçlarına göre simülasyon modellerini ve çıktılarının farklı detay seviyeleriyle ifade eder, 10) simülasyon modeli oluşturmak için toplanan verileri dönüştürür, analiz eder ve yorumlar, |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
|---|
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by |
| Prepared by and Date | UTKU KOÇ , December 2020 |
| Course Coordinator | UTKU KOÇ |
| Semester | |
| Name of Instructor | Dr. Öğr. Üyesi UTKU KOÇ |
| Hafta | Konu |
| 1) | Introduction to simulation modeling |
| 2) | Random number generation |
| 3) | Testing random number generators |
| 4) | Random variate generation |
| 5) | Input data analysis |
| 6) | Simulation model validation and verification |
| 7) | Discrete Event Simulation using software (basic operations) |
| 8) | Discrete Event Simulation using software (detailed operations) |
| 9) | Discrete Event Simulation using software (intermediate modeling) |
| 10) | Discrete Event Simulation using software (Entity Transfer) |
| 11) | Statistical output analysis for terminating simulations |
| 12) | Statistical output analysis for steady state simulations |
| 13) | Experimental design and simulation optimization |
| 14) | Project presentations |
| 15) | Final Exam/Project Presentation Period |
| 16) | Final Exam/Project Presentation Period |
| Required/Recommended Readings | • Kelton, W. D., Sadowski, R. P., and Zupick, N. B., Simulation with Arena, 6th Ed., McGraw Hill, 2015 • Banks, J., Carson, J. S., Nelson, B. L., and Nicol, D. M., Discrete-Event System Simulation, 4th Ed., Prentice Hall, 2005 - J.Shalliker, C.Ricketts (2009) An Introduction to Simulation in the Manufacturing Industry using SIMUL8 2008. E-Book. | ||||||||||||
| Teaching Methods | Lectures/contact hours using “flipped classroom” as an active learning technique/Implementation at a Computer Laboratory | ||||||||||||
| Homework and Projects | A complete simulation project will be completed in groups of students | ||||||||||||
| Laboratory Work | Implementation of the methods learned in class | ||||||||||||
| Computer Use | SIMUL8 software | ||||||||||||
| Other Activities | |||||||||||||
| Assessment Methods |
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| Course Administration |
Exams and quizzes: Closed book and closed notes. Homework: N/A Rules for attendance: YÖK regulations. You are responsible for the announcements made in class. Rules for late submission of assignments: N/A Missing a quiz: No make-up will be given for the missed quizzes. For certain excuses (decided by the instructor) the percentage of the missed quiz may be added to the midterm or to the final. Missing a midterm: You are expected to be present without exception and to plan any travel around these dates accordingly. Medical emergencies are of course excluded if accompanied by a doctor’s note. A note indicating that you were seen at the health center on the day of the exam is not a sufficient documentation of medically excused absence from the exam. The note must say that you were medically unable to take the exam. Provided that proper documents of excuse are presented, missed midterm by the student will be given the grade of the final exam. No make-up will be given. If you fail to take the exam on the assigned day and do not have a valid excuse, you will be given zero (0) on the exam. Employment interviews, employer events, weddings, vacations, etc. are not excused absences. Eligibility to take the final exam: YÖK regulations. Missing a final: Faculty regulations. A reminder of proper classroom behavior, code of student conduct: YÖK Regulations Statement on plagiarism: YÖK Regulations (http://3fcampus.mef.edu.tr/uploads/cms/webadmin.mef.edu.tr/4833_2.pdf) |
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| Activity | No/Weeks | Hours | Calculation | ||||
| No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
| Ders Saati | 14 | 1 | 3 | 56 | |||
| Laboratuvar | 14 | 1 | 1 | 28 | |||
| Proje | 1 | 20 | 1 | 21 | |||
| Küçük Sınavlar | 4 | 3 | 1 | 16 | |||
| Ara Sınavlar | 1 | 10 | 2 | 12 | |||
| Final | 1 | 20 | 2 | 22 | |||
| Total Workload | 155 | ||||||
| Total Workload/25 | 6.2 | ||||||
| ECTS | 6 | ||||||