| Course Description |
|
| Course Name |
: |
Operations Research 2 |
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| Course Code |
: |
EM 318 |
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| Course Type |
: |
Compulsory |
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| Level of Course |
: |
First Cycle |
|
| Year of Study |
: |
3 |
|
| Course Semester |
: |
Spring (16 Weeks) |
|
| ECTS |
: |
3 |
|
| Name of Lecturer(s) |
: |
Assoc.Prof.Dr. S.BİLGİN KILIÇ
Asst.Prof.Dr. SEMİN PAKSOY
|
|
| Learning Outcomes of the Course |
: |
Gives ability to use quantitative techniques in decision-making process; problem definition, model building and solving
Gives ability of analytical thinking
Gives the ability of scientific decision-making
|
|
| Mode of Delivery |
: |
Face-to-Face |
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| Prerequisites and Co-Prerequisites |
: |
None |
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| Recommended Optional Programme Components |
: |
None |
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| Aim(s) of Course |
: |
Ojective of the course is to give the capability of using quantitative techniques for decision making; problem identification, model building and solving
|
|
| Course Contents |
: |
Deterministic inventory models, stochastic inventory models, basic probability distributions (normal, binomial and Poisson distributions), single-channel and multi-channel queuing systems, deterministic dynamic programming, Markov chains, decision analysis and game theory, model building with simulation, classical optimization problems, uconstrained problems, constrained problems, non-linear programming algorithms, quadratic programming |
|
| Language of Instruction |
: |
Turkish |
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| Work Place |
: |
Theoretical courses will be made in classrooms, computer labs will be used for application |
|
|
Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
|
1 |
Deterministic inventory models |
Students will be prepared by studying relevant subjects from source books according to the weekly program |
The theoretical issues discussed in classrooms and the application of problem solving will be made in the computer lab |
|
2 |
Stochastic inventory models |
Students will be prepared by studying relevant subjects from source books according to the weekly program |
The theoretical issues discussed in classrooms and the application of problem solving will be made in the computer lab |
|
3 |
Basic probability distributions (normal, binomial and Poisson distributions) |
Students will be prepared by studying relevant subjects from source books according to the weekly program |
The theoretical issues discussed in classrooms and the application of problem solving will be made in the computer lab |
|
4 |
Single-channel and multi-channel queuing systems |
Students will be prepared by studying relevant subjects from source books according to the weekly program |
The theoretical issues discussed in classrooms and the application of problem solving will be made in the computer lab |
|
5 |
Deterministic dynamic programming |
Students will be prepared by studying relevant subjects from source books according to the weekly program |
The theoretical issues discussed in classrooms and the application of problem solving will be made in the computer lab |
|
6 |
Modelin with Markov chains |
Students will be prepared by studying relevant subjects from source books according to the weekly program |
The theoretical issues discussed in classrooms and the application of problem solving will be made in the computer lab |
|
7 |
Decision analysis and game theory |
Students will be prepared by studying relevant subjects from source books according to the weekly program |
The theoretical issues discussed in classrooms and the application of problem solving will be made in the computer lab |
|
8 |
Midterm examination |
|
|
|
9 |
Model building with simulation |
Students will be prepared by studying relevant subjects from source books according to the weekly program |
The theoretical issues discussed in classrooms and the application of problem solving will be made in the computer lab |
|
10 |
Classical optimization problems |
Students will be prepared by studying relevant subjects from source books according to the weekly program |
The theoretical issues discussed in classrooms and the application of problem solving will be made in the computer lab |
|
11 |
Unconstrained problems |
Students will be prepared by studying relevant subjects from source books according to the weekly program |
The theoretical issues discussed in classrooms and the application of problem solving will be made in the computer lab |
|
12 |
Constrained problems |
Students will be prepared by studying relevant subjects from source books according to the weekly program |
The theoretical issues discussed in classrooms and the application of problem solving will be made in the computer lab |
|
13 |
Non-linear programming algorithms |
Students will be prepared by studying relevant subjects from source books according to the weekly program |
The theoretical issues discussed in classrooms and the application of problem solving will be made in the computer lab |
|
14 |
Gradyan decent algorithm |
Students will be prepared by studying relevant subjects from source books according to the weekly program |
The theoretical issues discussed in classrooms and the application of problem solving will be made in the computer lab |
|
15 |
Quadratic programming |
Students will be prepared by studying relevant subjects from source books according to the weekly program |
The theoretical issues discussed in classrooms and the application of problem solving will be made in the computer lab |
|
16/17 |
Final examination |
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|
|
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
|
1 |
Models problems with Mathematics, Statistics, and Econometrics |
5 |
|
2 |
Explains Econometric concepts |
4 |
|
3 |
Estimates the model consistently and analyzes & interprets its results |
5 |
|
4 |
Acquires basic Mathematics, Statistics and Operation Research concepts |
5 |
|
5 |
Equipped with the foundations of Economics, and develops Economic models |
4 |
|
6 |
Describes the necessary concepts of Business |
3 |
|
7 |
Acquires the ability to analyze, benchmark, evaluate and interpret at conceptual levels to develop solutions to problems |
5 |
|
8 |
Collects, edits, and analyzes data |
4 |
|
9 |
Uses a package program of Econometrics, Statistics, and Operation Research |
5 |
|
10 |
Effectively works, take responsibility, and the leadership individually or as a member of a team |
2 |
|
11 |
Awareness towards life-long learning and follow-up of the new information and knowledge in the field of study |
2 |
|
12 |
Develops the ability of using different resources in the form of academic rules, synthesis the information gathered, and effective presentation in an area which has not been studied |
4 |
|
13 |
Uses Turkish and at least one other foreign language, academically and in the business context |
2 |
|
14 |
Good understanding, interpretation, efficient written and oral expression of the people involved |
2 |
|
15 |
Questions traditional approaches and their implementation while developing alternative study programs when required |
2 |
|
16 |
Recognizes and implements social, scientific, and professional ethic values |
4 |
|
17 |
Follows actuality, and interprets the data about economic and social events |
4 |
|
18 |
Improves himself/herself constantly by defining educational requirements considering interests and talents in scientific, cultural, art and social fields besides career development |
4 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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