kemal@uludag.edu.tr 02242941113 Uludağ Üniversitesi İktisadi ve İdari Bilimler Fakültesi A Blok 16059 Nilüfer/Bursa
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Website:
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Objective of the Course:
The aim of this course is to teach the students of operations research tecniques and how to apply these tecniques in business world.
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Contribution of the Course to Professional Development
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Learning Outcomes:
1
The students are be able to optimal decision making depending on the data.;
2
The students are be able to model construction of the large scale business problems;
3
The students are be able to model solving of the large scale business;
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The students are be able to comment of the model solutions;
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The students are be able to make decisions under the competition;
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The students are be able to determine the optimal inventory policy in business;
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The students are be able to decision making situations for future;
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The students are be able to determine the best Level of service businesses;
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Course Content:
Week
Theoretical
Practical
1
Integer Programming
2
Some Problems of Integer Programming
3
The Solution Methods of İnteger Programming Problems
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Gomory Cutting Plane Method
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Game Theory
6
The Solution of The Games with Linear Programming
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Inventory Models
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Stocastic İnventory Models
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Waiting Line Models
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Single-Channel Queue Models
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Multichannel Queue Models
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Markov Analysis and Decision making
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Stocastic Process and Markov Chain
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The use of Markov Analysis for Decision making
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Textbooks, References and/or Other Materials:
1. Ahmet Öztürk, Yöneylem Araştırmasına Giriş, Ekin Kitabevi, 2011. 2. Wayne L. Winston, Operations Research, Applications and Algorithms, Thomson Brooks/Cole, Australia,2004. 3. Steven Nahmias, Production and Operations Analysis, McGraw-Hill,Fourth Edition, New York, Boston, 2001.
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Assesment
TERM LEARNING ACTIVITIES
NUMBER
PERCENT
Midterm Exam
0
0
Quiz
0
0
Homeworks, Performances
0
0
Final Exam
1
100
Total
1
100
Contribution of Term (Year) Learning Activities to Success Grade
0
Contribution of Final Exam to Success Grade
100
Total
100
Measurement and Evaluation Techniques Used in the Course
Information
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ECTS / WORK LOAD TABLE
Activites
NUMBER
TIME [Hour]
Total WorkLoad [Hour]
Theoretical
14
3
42
Practicals/Labs
0
0
0
Self Study and Preparation
10
5
50
Homeworks, Performances
0
38
38
Projects
0
0
0
Field Studies
0
0
0
Midtermexams
0
0
0
Others
0
0
0
Final Exams
1
50
50
Total WorkLoad
180
Total workload/ 30 hr
6
ECTS Credit of the Course
6
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CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
