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Information
| Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
| INDUSTRIAL ENGINEERING (PhD) | |
| Code | EM537 |
| Name | Operations Research Modeling and Applications |
| Term | 2019-2020 Academic Year |
| Term | Fall |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | İngilizce |
| Level | Doktora Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. ALİ KOKANGÜL |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
It is aimed to provide detailed information on operation research techniques and ability to apply these techniques using LINDO package program
Course Content
Modeling: Physical models, mathematical models, etc.; the classification of operations research techniques, components of mathematical models: the decision variables, objective function and constraints; global and local solutions; optimization steps; verbal and mathematical expression of real-life optimization problems; graphical methods; linear programming, nonlinear programming, duality and sensitivity analysis; optimization computer package programs that are being used, the solution of mathematical models using LINGO package program, applications of linear and nonlinear programming, Project presentations. Construction mathematical models of real-life problems, selecting the most appropriate optimization method to the constructed mathematical model and driving the solutions from the model using computer optimization programs such as LINGO
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Learns to construct mathematical models of real-life problems |
| LO02 | Select the most appropriate optimization method |
| LO03 | Testing the validity of the model |
| LO04 | Solution derivation |
| LO05 | To gain application ability |
| LO06 | Ability to use LINGO package program |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Understands, interprets and applies knowledge in his/her field domain both in-depth and in-breadth by doing scientific research in industrial engineering. | 5 |
| PLO02 | - | Acquires comprehensive knowledge about methods and tools of industrial engineering and their limitations. | 4 |
| PLO03 | - | Designs and performs analytical modeling and experimental research and analyze/solves complex matters emerged in this process. | 5 |
| PLO04 | - | Completes and applies the knowledge by using scarce and limited resources in a scientific way and integrates the knowledge into various disciplines. | 5 |
| PLO05 | - | Keeps up with the recent changes and applications in the field of Industrial Engineering and examines and learns these innovations when necessary. | 4 |
| PLO06 | - | Has the ability to propose new and/or original ideas and methods, develops innovative solutions for designing systems, components or processes. | 3 |
| PLO07 | - | Develops original definitions that will provide innovation to the field at the level of expertise for current and advanced information in the field based on graduate qualifications. | 4 |
| PLO08 | - | Designs Industrial Engineering problems, develops innovative methods to solve the problems and applies them. | 5 |
| PLO09 | - | Works in multi-disciplinary teams and takes a leading role and responsibility. | 4 |
| PLO10 | - | Identifies, gathers and uses necessary information and data. | 5 |
| PLO11 | - | Follows, studies and learns new and developing applications of industrial engineering. | 3 |
| PLO12 | - | Uses a foreign language in verbal and written communication at least B2 level of European Language Portfolio. | 2 |
| PLO13 | - | Presents his/her research findings systematically and clearly in oral and written forms in national and international platforms. | 4 |
| PLO14 | - | Understands social and environmental implications of engineering practice. | 4 |
| PLO15 | - | Considers social, scientific and ethical values in the process of data collection, interpretation and announcement of the findings. | 5 |
| PLO16 | - | Works in multi-disciplinary teams, take a leading role and responsibility and develop solutions for complex problems. | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Modelling: Physical models, mathematical models, and so on. | Preliminary research on the subject and investigation of current applications | |
| 2 | The classification of operations research techniques | Preliminary research on the subject and investigation of current applications | |
| 3 | Components of mathematical models: the decision variables, objective function and constraints | Preliminary research on the subject and investigation of current applications | |
| 4 | Global and local solutions in optimization | Preliminary research on the subject and investigation of current applications | |
| 5 | Optimization steps | Preliminary research on the subject and investigation of current applications | |
| 6 | Verbal and mathematical expression of real-life optimization problems | Preliminary research on the subject and investigation of current applications | |
| 7 | Graphical methods | Preliminary research on the subject and investigation of current applications | |
| 8 | Mid-Term Exam | Preparation for the exam | |
| 9 | Linear programming and its applications | Preliminary research on the subject and investigation of current applications | |
| 10 | Nonlinear programming and its applications | Preliminary research on the subject and investigation of current applications | |
| 11 | Duality and sensitivity analysis | Preliminary research on the subject and investigation of current applications | |
| 12 | Computer package programs that are being used | Preliminary research on the subject and investigation of current applications | |
| 13 | The solution of mathematical models using LINGO package program | Preliminary research on the subject and investigation of current applications | |
| 14 | Project presentation | Preliminary research on the subject and investigation of current applications | |
| 15 | Project presentation | Preliminary research on the subject and investigation of current applications | |
| 16 | Term Exams | Preparation for the exam | |
| 17 | Term Exams | Preparation for the exam |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||