Course Description |
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Course Name |
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Discrete Optimization |
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Course Code |
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EM-551 |
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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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Fall (16 Weeks) |
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ECTS |
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6 |
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Name of Lecturer(s) |
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Instructor MELİK KOYUNCU |
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Learning Outcomes of the Course |
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Gains the knowledge about linear models Models a problem via linear programming Solves the linear programming model by using appropriate technique Solves and models the problems by using integer programming Models the planning problems by goal programming Has the knowledge about network models
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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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This course aims to provide the capability to solve the problems in manufacturing and service systems by using linear programming techniques. |
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Course Contents |
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Introduction to modelling, Simplex method, branch and bound algorithm, additive algortithm, transportation problems, Assignment problems, Introduction to netwok models, Introduction to netwok models, Minimum spanning tree problem and its applications, maximum flow problem and its applications, Case studies about linear programming
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Language of Instruction |
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Turkish |
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Work Place |
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Class room |
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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 |
Introduction to modelling |
reading the related chapter from text book |
Power point presentation and lecture |
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2 |
Simplex method |
reading the related chapter from text book |
Power point presentation and lecture |
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3 |
branch and bound algorithm |
reading the related chapter from text book |
Power point presentation and lecture |
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4 |
additive algortithm |
reading the related chapter from text book |
Power point presentation and lecture |
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5 |
transportation problems |
reading the related chapter from text book |
Power point presentation and lecture |
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6 |
Assignment problems |
reading the related chapter from text book |
Power point presentation and lecture |
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7 |
Midterm exam |
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|
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8 |
Introduction to netwok models |
reading the related chapter from text book |
Power point presentation and lecture |
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9 |
Shortest path problems and its applications |
reading the related chapter from text book |
Power point presentation and lecture |
|
10 |
Minimum spanning tree problem and its applications |
reading the related chapter from text book |
Power point presentation and lecture |
|
11 |
maximum flow problem and its applications |
reading the related chapter from text book |
Power point presentation and lecture |
|
12 |
Case studies about linear programming |
reading the related chapter from text book |
Power point presentation and lecture |
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13 |
Case studies about linear programming |
reading the related chapter from text book |
Power point presentation and lecture |
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14 |
presantation of projects |
reading the related chapter from text book |
Power point presentation and lecture |
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15 |
optimization softwares |
reading the related chapter from text book |
Power point presentation and lecture |
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16/17 |
Final exam |
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Written exam |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
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1 |
Understand, interpret and apply knowledge in his/her field domain both in-depth and in-breadth by doing scientific research in industrial engineering. |
5 |
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2 |
Acquire comprehensive knowledge about methods and tools of industrial engineering and their limitations. |
5 |
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3 |
Work in multi-disciplinary teams and take a leading role and responsibility. |
5 |
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4 |
Identify, gather and use necessary information and data. |
5 |
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5 |
Complete and apply the knowledge by using scarce and limited resources in a scientific way and integrate the knowledge into various disciplines. |
4 |
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6 |
Keep up with the recent changes and applications in the field of Industrial Engineering and analyze these innovations when necessary. |
4 |
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7 |
Work in multi-disciplinary teams, take a leading role and responsibility and develop solutions for complex problems. |
3 |
|
8 |
Analyze Industrial Engineering problems, develop innovative methods to solve the problems. |
5 |
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9 |
Have the ability to propose new and/or original ideas and methods in developing innovative solutions for designing systems, components or processes. |
5 |
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10 |
Design and perform analytical modeling and experimental research and analyze/solve complex matters emerged in this process. |
5 |
|
11 |
Follow, study and learn new and developing applications of industrial engineering. |
5 |
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12 |
Use a foreign language in verbal and written communication at least B2 level of European Language Portfolio. |
4 |
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13 |
Present his/her research findings systematically and clearly in oral and written forms in national and international platforms. |
4 |
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14 |
Understand social and environmental implications of engineering practice. |
4 |
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15 |
Consider social, scientific and ethical values in the process of data collection, interpretation and announcement of the findings. |
4 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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