Course Details

SIMULATION

IE522

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Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
3IE522SIMULATION3+0+037,5

Course Details
Language of Instruction English
Level of Course Unit Master's Degree
Department / Program INDUSTRIAL ENGINEERING
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course The aim of this course is to teach how to effectively develop, evaluate, and compare simulation models.
Course Content This course focuses on different types of simulation models, input data analysis, and variance reduction techniques. Additionally, methods for testing the validity and accuracy of simulation models will be covered. Following this, output data analysis and the comparison of alternatives and systems will be discussed. Finally, techniques for simulation optimization will be presented.
Course Methods and Techniques Face-to-face lectures
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Asist Prof.Dr. Uğur Satıç ugur.satic@agu.edu.tr
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Banks, Jerry., Carson II, John S., Nelson, Barry L., and Nicol, David M., Discrete-Event System Simulation: Pearson New International Edition, Pearson Education Limited, 2013.
Lecture Notes (On Canvas)
Banks, Jerry., Carson II, John S., Nelson, Barry L., and Nicol, David M., Discrete-Event System Simulation: Pearson New International Edition, Pearson Education Limited, 2013.
Canvasta
Canvasta
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Course Category
Field %100

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Yarıl yılSonu Sınavı/Dönem Projesinin Başarı Notuna Katkısı 1 % 30
Sunum/Seminer 2 % 30
Final examination 1 % 40
Total
4
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Sunum için Hazırlık 2 20 40
Kişisel Çalışma 14 2 28
Ders dışı çalışma 14 2 28
Yüz Yüze Ders 14 3 42
Ders Dışı Ara Sınav 1 20 20
Final Sınavı 1 30 30
Total Work Load   Number of ECTS Credits 7,5 188

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Develop simulation models
2 Analyze data and develop input models
3 Interpret the results of simulation runs
4 Compare alternative systems using simulation
5 Use simulation as an optimization tool


Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Lecture: Syllabus Reading the syllabus On canvas
2 Introduction to Simulation On canvas
3 Simulation Examples
4 Simulation Examples + Statistical Models in Simulation
5 Statistical Models in Simulation + Input Modeling
6 Input Modeling + Random Numbers and Random Variate Generation
7 Midterm
8 Active Learning Week : presentation from simulation literature
9 Verification, Calibration, and Validation of Simulation Models
10 Simulation Performance
11 Simulation Performance
12 Simulation Performance
13 Simulation Performance
14 Presentation from simulation literature


Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
C1 5 5 2 1 4
C2 5 5 1
C3 4 4 2
C4 5 3 1
C5 4 4 1 5 2

Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant


https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=77284&lang=en
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