| Course Description |
|
| Course Name |
: |
Deterministic Models |
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| Course Code |
: |
ENM321 |
|
| Course Type |
: |
Compulsory |
|
| Level of Course |
: |
First Cycle |
|
| Year of Study |
: |
3 |
|
| Course Semester |
: |
Fall (16 Weeks) |
|
| ECTS |
: |
5 |
|
| Name of Lecturer(s) |
: |
Instructor MELİK KOYUNCU
|
|
| Learning Outcomes of the Course |
: |
Modeling a problem in a linear programming model
Using a suitable technique to solve the linear programming model
Modelilng and solve problems using integer programming
Modeling industrial planning problems as goal programming
Modeling and solve network problems
|
|
| Mode of Delivery |
: |
Face-to-Face |
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| Prerequisites and Co-Prerequisites |
: |
None |
|
| Recommended Optional Programme Components |
: |
None |
|
| Aim(s) of Course |
: |
To develop the operations researck skills and knowledge to delve into the deterministic modelling techniques |
|
| Course Contents |
: |
To review the mathematical modelling techniques, Introduction to integer programming , The application area of integer programming, Solution methodology of integer programming ( branch and boun algorithm , additive algortihm) , Dynamic programming and its applications , The solution methodology of Dynamic progrramming , Introduction to Network models, The shortest path problem ,
Maximum flow problem and its applications, Minumum spanning tree problem and its applications, The network models related algorithm , Solving the some manufacturing problems by netwok models , Multiobjective optimization techniques, Introduction to goal programming , The solution methodology of goal programming |
|
| Language of Instruction |
: |
Turkish |
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| Work Place |
: |
Classroom |
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|
Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
|
1 |
To review the mathematical modelling techniques |
Reading the related chapter from text book |
Standart lecture tools (Teaching on board and application) |
|
2 |
Introduction to integer programming |
Reading the related chapter from text book |
Standart lecture tools (Teaching on board and application) |
|
3 |
The application area of integer programming |
Reading the related chapter from text book |
Standart lecture tools (Teaching on board and application) |
|
4 |
Solution methodology of integer programming ( branch and boun algorithm , additive algortihm) |
Reading the related chapter from text book |
Standart lecture tools (Teaching on board and application) |
|
5 |
Dynamic programming and its applications |
Reading the related chapter from text book |
Standart lecture tools (Teaching on board and application) |
|
6 |
The solution methodology of Dynamic progrramming |
Reading the related chapter from text book |
Standart lecture tools (Teaching on board and application) |
|
7 |
Mid term exam |
|
Midterm exam (classic exam) |
|
8 |
Introduction to Network models |
Reading the related chapter from text book |
Standart lecture tools (Teaching on board and application) |
|
9 |
The shortest path problem |
Reading the related chapter from text book |
Standart lecture tools (Teaching on board and application) |
|
10 |
Maximum flow problem and its applications |
Reading the related chapter from text book |
Standart lecture tools (Teaching on board and application) |
|
11 |
Minumum spanning tree problem and its applications |
Reading the related chapter from text book |
Standart lecture tools (Teaching on board and application) |
|
12 |
The network models related algorithm |
Reading the related chapter from text book |
Standart lecture tools (Teaching on board and application) |
|
13 |
Solving the some manufacturing problems by netwok models |
Reading the related chapter from text book |
Standart lecture tools (Teaching on board and application) |
|
14 |
Multiobjective optimization techniques |
Reading the related chapter from text book |
Standart lecture tools (Teaching on board and application) |
|
15 |
Introduction to goal programming |
Reading the related chapter from text book |
Standart lecture tools (Teaching on board and application) |
|
16/17 |
Final Exam |
|
Classical exam |
|
|
| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
|
1 |
Can collect and analyze data required for industrial engineering problems ,develops and evaluates alternative solutions. |
5 |
|
2 |
Has sufficient background on topics related to mathematics, physical sciences and industrial engineering. |
5 |
|
3 |
Gains ability to use the acquired theoretical knowledge on basic sciences and industrial engineering for describing, formulating and solving an industrial engineering problem, and to choose appropriate analytical and modeling methods. |
5 |
|
4 |
Gains ability to analyze a service and/or manufacturing system or a process and describes, formulates and solves its problems . |
5 |
|
5 |
Gains ability to choose and apply methods and tools for industrial engineering applications. |
5 |
|
6 |
Can access information and to search/use databases and other sources for information gathering. |
4 |
|
7 |
Works efficiently and takes responsibility both individually and as a member of a multi-disciplinary team. |
4 |
|
8 |
Appreciates life time learning; follows scientific and technological developments and renews himself/herself continuously. |
3 |
|
9 |
Can use computer software in industrial engineering along with information and communication technologies. |
4 |
|
10 |
Can use oral and written communication efficiently. |
2 |
|
11 |
Has a conscious understanding of professional and ethical responsibilities. |
3 |
|
12 |
Uses English skills to follow developments in industrial engineering and to communicate with people in his/her profession. |
5 |
|
13 |
Has a necessary consciousness on issues related to job safety and health, legal aspects of environment and engineering practice. |
0 |
|
14 |
Becomes competent on matters related to project management, entrepreneurship, innovation and has knowledge about current matters in industrial engineering. |
3 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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