| ENGINEERING MANAGEMENT (TURKISH, PHD) | |||||
| PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| INE5126 | System Simulation | Fall Spring |
3 | 0 | 3 | 12 |
| The course opens with the approval of the Department at the beginning of each semester |
| Language of instruction: | En |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Assoc. Prof. İBRAHİM MUTER |
| Course Objectives: | This course is designed for junior level industrial engineering students to give the fundamental concepts of queuing theory and discrete systems simulation. The course provides statistics and probability concepts used in simulation, design of discrete systems simulation models, programming of simulation models, input modeling, random number generation and output analysis. |
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The students who have succeeded in this course; I. Recognize the basic principles of simulation modeling. II. Define and use appropriate performance metrics when modeling a system. III. Recognize the basic concepts of a discrete event simulation model including model components, flowchart, and event list. IV. Collect and manage performance measurement data. V. Evaluate and implement simulation models using ARENA. VI. Develop simulation model that address critical research issues and/or industrial VII. Recognize how computer simulation can be used to model complex systems and solve related decision problems VIII. Apply a simulation project from start to finish |
| 1st Week: Introduction to Simulation modeling 2nd Week: Fundamentals of Simulation 3rd Week: Hand Simulation 4rd Week: Simulation Modeling 5th Week: Simulation Modeling 6th Week: Simulation Modeling 7th Week: Simulation Modeling 8th Week: Midterm exam 9th Week: Review of Probability 10th Week: Input modeling 11th Week: Input modeling 12th Week: Random Number Generation 13th Week: Output modeling 14th Week: Output modeling 15th Week: Summary and Conclusions |
| Week | Subject | Related Preparation | |
| 1) | Introduction to Simulation Modelling | ||
| 1) | Input Modeling | ||
| 2) | Fundamentals of Simulation | ||
| 3) | Hand simulation | ||
| 4) | Simulation Modeling | ||
| 5) | Simulation Modeling | ||
| 6) | Simulation Modeling | ||
| 7) | Simulation Modeling | ||
| 8) | Midterm Exam | ||
| 9) | Review of Probability | ||
| 10) | Input Modeling | ||
| 11) | Input Modeling | ||
| 12) | Random Number Generation | ||
| 13) | Output Modeling | ||
| 14) | Output Modeling | ||
| 15) | Summary and Conclusions | ||
| Course Notes: | W. D. Kelton, R. P. Sadowski, D. T. Sturrock, Simulation with Arena-5th Edition, McGraw-Hill, 2011. J. Banks, J. S. Carson II, B. L. Nelson, D.M. Nicol, Discrete-Event System Simulation, 5th Edition, Prentice Hall, 2010. |
| References: | NA |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | % 0 | |
| Laboratory | % 0 | |
| Application | % 0 | |
| Field Work | % 0 | |
| Special Course Internship (Work Placement) | % 0 | |
| Quizzes | 2 | % 10 |
| Homework Assignments | 4 | % 10 |
| Presentation | % 0 | |
| Project | 1 | % 20 |
| Seminar | % 0 | |
| Midterms | 1 | % 20 |
| Preliminary Jury | % 0 | |
| Final | 1 | % 40 |
| Paper Submission | % 0 | |
| Jury | % 0 | |
| Bütünleme | % 0 | |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 40 | |
| PERCENTAGE OF FINAL WORK | % 60 | |
| Total | % 100 | |
| Activities | Number of Activities | Workload | |
| Course Hours | 14 | 42 | |
| Laboratory | |||
| Application | |||
| Special Course Internship (Work Placement) | |||
| Field Work | |||
| Study Hours Out of Class | 12 | 36 | |
| Presentations / Seminar | |||
| Project | 4 | 25 | |
| Homework Assignments | 4 | 40 | |
| Quizzes | 2 | 20 | |
| Preliminary Jury | |||
| Midterms | 1 | 2 | |
| Paper Submission | |||
| Jury | |||
| Final | 2 | 27 | |
| Total Workload | 192 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | - To be able to develop and deepen current and advanced knowledge in the field with original thought and/or research at the level of expertise based on master's qualifications, and to reach original definitions that will bring innovation to the field. | |
| 2) | - To be able to comprehend the interdisciplinary interaction that the field is related to; Ability to reach original results by using knowledge that requires expertise in analyzing, synthesizing and evaluating new and complex ideas. | |
| 3) | -To be able to evaluate and use new knowledge in the field with a systematic approach. | |
| 4) | - To be able to develop a new idea, method, design and/or application that brings innovation to the field, or to apply a known idea, method, design and/or application to a different field, to research, comprehend, design, adapt and apply an original subject. | |
| 5) | - Ability to critically analyze, synthesize and evaluate new and complex ideas. | |
| 6) | - Gaining high-level skills in using research methods in studies related to the field. | |
| 7) | - To be able to critically examine and develop social relations and the norms that guide these relations, and to manage actions to change them when necessary. | |
| 8) | - To be able to defend their original views in the discussion of the issues in the field with experts and to establish an effective communication showing their competence in the field. | |
| 9) | - To be able to communicate and discuss at an advanced level in written, oral and visual using a foreign language at least at the C1 General Level of the European Language Portfolio. | |
| 10) | - To be able to develop new thoughts and methods in the field by using high-level mental processes such as creative and critical thinking, problem solving and decision making. | |
| 11) | - To be able to contribute to the process of becoming an information society and maintaining it by introducing scientific, technological, social or cultural advances in the field. | |
| 12) | - To be able to interact functionally by using strategic decision-making processes in solving the problems encountered in the field. | |
| 13) | - To be able to contribute to the solution of social, scientific, cultural and ethical problems encountered in issues related to the field and to support the development of these values. | |
| 14) | - Being able to contribute to the progress in the field by independently carrying out an original work that brings innovations to the field, develops a new idea, method, design and / or application or applies a known idea, method, design and / or application to a different field. | |
| 15) | - To be able to expand the limits of knowledge in the field by publishing at least one scientific article related to the field in national and/or international refereed journals and/or by producing or interpreting an original work. | |
| 16) | - Ability to lead in environments that require the resolution of unique and interdisciplinary problems. |