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Information
| Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
| ENGINEERING AND TECHNOLOGY MANAGEMENT (MASTER) (WITHOUT THESIS) (INTERDISCIPLINA | |
| Code | MTY512 |
| Name | Engineering Optimization |
| Term | 2019-2020 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans 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
Converts encountered problems in the production of goods and service to optimization problems and teaching necessary optimization techniques to find optimal solutions and gains ability to apply these tecnics.
Course Content
Applications of optimization techniques in engineering; classification of optimization techniques; verbal description of optimization problems; mathematical expression of optimization problems (construction of Mathematical Model); graphical solution method, linear programming technique; Multi-objective programming; the selection of the most proper optimization technique; derive the solution in LINGO program; interpretation of the solution; sensitivity analysis.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Gives information about student modelling and optimization techniques |
| LO02 | Provides information about real-life problems orally as in the form of an optimization problem identification |
| LO03 | Mathematical modelling, reproduces solutions from a model which is established with the help of computer software packages (LINGO) |
| LO04 | Gain the ability to derive the solution |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Understands, evaluates, interprets and applies knowledge in depth in the field of engineering and technology management, doing scientific research. | 4 |
| PLO02 | - | Has comprehensive knowledge about current methods and techniques of engineering and technology management and its limitations. | 5 |
| PLO03 | - | Has the ability of describing and applying knowledge despite limited or missing data; integrates knowledge from different disciplines into the present knowledge. | 4 |
| PLO04 | - | Designs engineering problems, develops techniques to solve them, using innovative ways. | 5 |
| PLO05 | - | Has the ability of designing and applying research based on analytical, modelling and experimental approaches and has the ability to solve problems encountered while conducting such research. | 5 |
| PLO06 | - | Works in multi-disciplinary teams, takes a leading role and responsibility and develops approaches for complicated solutions. | 4 |
| PLO07 | - | Describes, gathers and uses necessary information and data. | 4 |
| PLO08 | - | Keeps up with the latest developments in the field, examines and learns them when necessary. | 4 |
| PLO09 | - | Has the ability of developing new and/or original ideas or techniques, comes up with innovative solutions for designing systems, components or processes. | 3 |
| PLO10 | - | Presents research findings systematically and clearly in oral or written forms in national or international meetings. | 3 |
| PLO11 | - | Understands social and environmental implications of engineering practice. | 5 |
| PLO12 | - | Considers social, scientific and ethical values in all professional activities and while collecting and analysing data and discussing the findings. | 5 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Applications of optimization techniques in engineering | Preliminary research on the subject and investigation of current applications | |
| 2 | Optimization techniques | Preliminary research on the subject and investigation of current applications | |
| 3 | Classification of optimization techniques | Preliminary research on the subject and investigation of current applications | |
| 4 | Verbal description of optimization problems | Preliminary research on the subject and investigation of current applications | |
| 5 | Mathematical expression of optimization problems (construction of Mathematical Model) | Preliminary research on the subject and investigation of current applications | |
| 6 | Graphical solution method | Preliminary research on the subject and investigation of current applications | |
| 7 | Linear programming technique | Preliminary research on the subject and investigation of current applications | |
| 8 | Mid-Term Exam | Preparation for the exam | |
| 9 | Multi-objective programming | Preliminary research on the subject and investigation of current applications | |
| 10 | Derive the solution using LINGO program | Preliminary research on the subject and investigation of current applications | |
| 11 | Interpretation of the solution | Preliminary research on the subject and investigation of current applications | |
| 12 | The selection of the most proper optimization technique | Preliminary research on the subject and investigation of current applications | |
| 13 | Sensitivity analysis | Preliminary research on the subject and investigation of current applications | |
| 14 | Engineering applications | Preliminary research on the subject and investigation of current applications | |
| 15 | Application Project | Preliminary research on the subject and investigation of current applications | |
| 16 | Term Exams | Preparation for the exam | |
| 17 | Term Exams | Preparation for the exam |