ECTS - Simulation
Simulation (IE403) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
---|---|---|---|---|---|---|---|
Simulation | IE403 | 2 | 2 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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IE 202 |
Course Language | English |
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Course Type | N/A |
Course Level | Bachelor’s Degree (First Cycle) |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture, Question and Answer, Drill and Practice, Problem Solving, Team/Group, Project Design/Management. |
Course Lecturer(s) |
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Course Objectives | In this course simulation modelling and analysis will be introduced as an essential industrial engineering analysis tool. |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | Simulation methodology, input analysis, random number generation, simulation models, output analysis, simulation experimental design, comparison of alternatives. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | Introduction, basic simulation modeling, exploring a simulation software | [1] pages 3-17 [2] pages 3-15 |
2 | Basic simulation modeling, modeling in a simulation software | [1] pages 19-52 [2] pages 19-43 |
3 | Basic simulation modeling, modeling in a simulation software | [1] pages 19-52 [2] pages 19-43 |
4 | Random-number generators, modeling in a simulation software | [1] pages 221-236 [2] pages 49-95 |
5 | Random-number generators, modeling in a simulation software | [1] pages 221-236 [2] pages 49-95 |
6 | Generating random variates, modeling in a simulation software | [1] pages 239-263 [2] pages 49-95 |
7 | Midterm 1 | |
8 | Selecting input probability distributions, modeling in a simulation software | [1] pages 267-305 [2] pages 49-95 |
9 | Selecting input probability distributions, modeling in a simulation software | [1] pages 267-305 [2] pages 49-95 |
10 | Selecting input probability distributions, modeling in a simulation software | [1] pages 267-305 [2] pages 49-95 |
11 | Validation and verification, modeling in a simulation software | [1] pages 310-333 [2] pages 49-95 |
12 | Output data analysis, modeling in a simulation software | [1] pages 335-372 [2] pages 167-250 |
13 | Output data analysis, modeling in a simulation software | [1] pages 335-372 [2] pages 167-250 |
14 | Midterm 2 | |
15 | Comparing alternative system configurations, modeling in a simulation software | [1] pages 379-418 [2] pages 303-333 |
16 | Project Presentations |
Sources
Course Book | 1. Discrete-Event System Simulation by J. Banks, J.S. Carson II, B.L. Nelson, D.M. Nicol, Pearson. |
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Other Sources | 2. Kelton, W.D., Sadowski, R.P., Sadowski, D.A., Simulation with Arena,, McGraw-Hill, 2004 Edition (ISBN 0-07-121934X)Pegden, C.D., Shannon, R.E., Sadowski, R.P., Introduction to Simulation Using SIMAN (2nd ed.), McGraw-Hill, 1995. (QA76.9.C65 P44) |
3. Pegden, C.D., Shannon, R.E., Sadowski, R.P., Introduction to Simulation Using SIMAN (2nd ed.), McGraw-Hill, 1995. (QA76.9.C65 P44) | |
4. Law. A.M., Kelton, W.D., Simulation Modeling and Analysis (3rd ed.), McGraw-Hill, 2000. (QA76.9.C65 L38) |
Evaluation System
Requirements | Number | Percentage of Grade |
---|---|---|
Attendance/Participation | - | - |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | 5 | 15 |
Presentation | - | - |
Project | 1 | 20 |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 2 | 40 |
Final Exam/Final Jury | 1 | 25 |
Toplam | 9 | 100 |
Percentage of Semester Work | 75 |
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Percentage of Final Work | 25 |
Total | 100 |
Course Category
Core Courses | X |
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Major Area Courses | |
Supportive Courses | |
Media and Managment Skills Courses | |
Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
# | Program Qualifications / Competencies | Level of Contribution | ||||
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1 | 2 | 3 | 4 | 5 | ||
1 | An ability to apply knowledge of mathematics, science and engineering to Industrial Engineering; an ability to apply theoretical and practical knowledge to model and solve engineering problems. | X | ||||
2 | An ability to identify, formulate and solve complex engineering problems; an ability to select and apply proper analysis and modeling methods. | X | ||||
3 | An ability to design a complex system, process, tool or component to meet desired needs within realistic constraints; an ability to apply modern design. | X | ||||
4 | An ability to develop, select and put into practice techniques, skills and modern engineering tools necessary for engineering practice; an ability to use information technology effectively. | X | ||||
5 | An ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or disciplinary research topics. | X | ||||
6 | An ability to work individually, on teams, and/or on multidisciplinary teams. | X | ||||
7 | Ability to communicate effectively in Turkish orally and in writing; knowledge of at least one foreign language; effective report writing and understand written reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instruction. | X | ||||
8 | A recognition of the need for, and an ability to engage in life-long learning; an ability to use information-seeking tools and to follow the improvements in science and technology. | |||||
9 | An ability to behave according to the ethical principles, an understanding of professional and ethical responsibility. Information on standards used in industrial engineering applications. | |||||
10 | Knowledge of business applications such as project management, risk management and change management. A recognition of entrepreneurship, innovativeness. Knowledge of sustainable improvement. | |||||
11 | Information on the effects of industrial engineering practices on health, environment and security in universal and societal dimensions and the information on the problems of the in the field of engineering of the era. Awareness of the legal consequences of engineering solutions. | |||||
12 | An ability to design, development, implementation and improvement of integrated systems that include human, materials, information, equipment and energy. | X | ||||
13 | Knowlede on appropriate analytical, computational and experimental methods to provide system integration. | X |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
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Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 2 | 32 |
Laboratory | |||
Application | 16 | 2 | 32 |
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 14 | 2 | 28 |
Presentation/Seminar Prepration | |||
Project | 1 | 11 | 11 |
Report | |||
Homework Assignments | 2 | 2 | 4 |
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 1 | 8 | 8 |
Prepration of Final Exams/Final Jury | 1 | 10 | 10 |
Total Workload | 125 |