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| Course Description |
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| Course Name |
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Engineering Optimization |
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| Course Code |
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MTY-512 |
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| Course Type |
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Optional |
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| Level of Course |
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Second Cycle |
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| Year of Study |
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1 |
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| Course Semester |
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Spring (16 Weeks) |
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| ECTS |
: |
6 |
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| Name of Lecturer(s) |
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Assoc.Prof.Dr. ALİ KOKANGÜL
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| Learning Outcomes of the Course |
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Gives information about student modelling and optimization techniques and provides information about real-life problems orally as in the form of an optimization problem identification, mathematical models, reproduces solutions from a model which is established with the help of computer software packages (LINGO) and gain the ability to derive the solution.
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| Mode of Delivery |
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Face-to-Face |
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| Prerequisites and Co-Prerequisites |
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None |
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| Recommended Optional Programme Components |
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None |
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| Aim(s) of Course |
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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. |
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| Course Contents |
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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. |
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| Language of Instruction |
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Turkish |
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| Work Place |
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IE Classroom |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
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1 |
Applications of optimization techniques in engineering; |
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2 |
Optimization techniques; |
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3 |
Classification of optimization techniques; |
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4 |
Verbal description of optimization problems |
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5 |
Mathematical expression of optimization problems (construction of Mathematical Model) |
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6 |
Graphical solution method, |
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7 |
Linear programming technique; |
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8 |
Midterm exam |
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9 |
Multi-objective programming |
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10 |
Derive the solution using LINGO program |
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11 |
Interpretation of the solution |
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12 |
The selection of the most proper optimization technique |
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13 |
Sensitivity analysis |
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14 |
Engineering applications |
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15 |
Application Project |
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16/17 |
Final exam |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
 Winston, W.L.,2004, Operations Research Applications and Algorithms, Fourth Edition
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| Required Course Material(s) | |
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Assessment Methods and Assessment Criteria |
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Semester/Year Assessments |
Number |
Contribution Percentage |
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Mid-term Exams (Written, Oral, etc.) |
1 |
50 |
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Homeworks/Projects/Others |
1 |
50 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
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Final Assessments
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100 |
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Rate of Final Assessments to Success
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60 |
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Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
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1 |
Understands, evaluates, interprets and applies knowledge in depth in the field of engineering and technology management, doing scientific research. |
4 |
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2 |
Has comprehensive knowledge about current methods and techniques of engineering and technology management and its limitations. |
5 |
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3 |
Has the ability of describing and applying knowledge despite limited or missing data; integrates knowledge from different disciplines into the present knowledge.
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4 |
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4 |
Designs engineering problems, develops techniques to solve them, using innovative ways. |
5 |
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5 |
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 |
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6 |
Works in multi-disciplinary teams, takes a leading role and responsibility and develops approaches for compicated solutions. |
4 |
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7 |
Describes, gathers and uses necessary information and data. |
4 |
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8 |
Has the ability of developing new and/or original ideas or techniques to come up with innovative solutions for designing systems, components or processes. |
3 |
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9 |
Presents research findings systematically and clearly in oral or written forms in national or international meetings. |
3 |
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10 |
Understands social and environmental implications of engineering practice. |
5 |
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11 |
Considers social, scientific and ethical values in all professional activities and while collecting and analysing data and discussing the findings. |
5 |
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12 |
Keeps up with the latest developments in the field. |
4 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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| Student Workload - ECTS |
| Works | Number | Time (Hour) | Total Workload (Hour) |
| Course Related Works |
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Class Time (Exam weeks are excluded) |
14 |
3 |
42 |
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Out of Class Study (Preliminary Work, Practice) |
14 |
5 |
70 |
| Assesment Related Works |
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Homeworks, Projects, Others |
1 |
15 |
15 |
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Mid-term Exams (Written, Oral, etc.) |
1 |
9 |
9 |
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Final Exam |
1 |
10 |
10 |
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Total Workload: | 146 |
| Total Workload / 25 (h): | 5.84 |
| ECTS Credit: | 6 |
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