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Course Information
Course Unit Title : Applied Operational Research I
Course Unit Code : 02EKO9505
Type of Course Unit : Optional
Level of Course Unit : Second Cycle
Year of Study : Preb
Semester : 255.Semester
Number of ECTS Credits Allocated : 6,00
Name of Lecturer(s) : ---
Course Assistants : ---
Learning Outcomes of The Course Unit : 1) Basic concepts and principles related to operations in business
2) What is method of operations research in econometrics and the methods modeling the role
3) How determined at the level of methods in econometrics and used
Mode of Delivery : Face-To-Face
Prerequisities and Co-requisities Courses : Unavailable
Recommended Optional Programme Components : Unavailable
Course Contents : 1.Historical Development Of Operations Research And Characteristics
2.Introduction To Linear Programming
3.Model Building and Model Samples
4.Model Building and Model Samples
5.Linear Programming Model Solution Methods
6.Graphical Solution Method
7.Simplex Solution Algorithm
8.Simplex Solution Algorithm
9.Big-M Method
10.Degeneration, Alternative Solutions, unresolved status
11.Duality, Primal-Dual Relations
12.Primal-Dual Calculations
13.Affecting Sensitivity Analysis of Optimum
14.Affecting appropriate sensitivity analysis
Languages of Instruction : Turkish
Course Goals : Basic techniques of operations research in business science teaching
Course Aims : To teach the basic techniques of operations research in the business of science
WorkPlacement   Sınıf
Recommended or Required Reading
Textbook : Yöneylem Araştırması, Ahmet ÖZTÜRK, Ekin Kitabevi
Additional Resources : Yöneylem Araştırması, Hamdy TAHA, Litaratür Yayıncılık
Material Sharing
Documents :
Assignments :
Exams :
Additional Material :
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
ECTS / Table Of Workload (Number of ECTS credits allocated)
Student workload surveys utilized to determine ECTS credits.
Activity :
Number Duration Total  
Course Duration (Excluding Exam Week) :
14 3 42  
Time Of Studying Out Of Class :
14 3 42  
Homeworks :
3 10 30  
Presentation :
1 20 20  
Project :
0 0 0  
Lab Study :
0 0 0  
Field Study :
0 0 0  
Visas :
1 20 20  
Finals :
1 30 30  
Workload Hour (30) :
30  
Total Work Charge / Hour :
184  
Course's ECTS Credit :
6      
Assessment Methods and Criteria
Studies During Halfterm :
Number Co-Effient
Visa :
1 50
Quiz :
0 0
Homework :
5 50
Attendance :
0 0
Application :
0 0
Lab :
0 0
Project :
0 0
Workshop :
0 0
Seminary :
0 0
Field study :
0 0
   
TOTAL :
100
The ratio of the term to success :
50
The ratio of final to success :
50
TOTAL :
100
Weekly Detailed Course Content
Week Topics  
1 1

Historical Development Of Operations Research And Characteristics
 
2

Introduction To Linear Programming
 
3 Model Building and Model Samples
 
4 Model Building and Model Samples
 
5

Linear Programming Model Solution Methods




Linear Programming Model Solution Methods
 
6 Graphical Solution Method
 
7 Simplex Solution Algorithm
 
8 Simplex Solution Algorithm
 
9 Big-M Method
 
10 Degeneration, Alternative Solutions, unresolved status
 
11 Duality, Primal-Dual Relations
 
12 Primal-Dual Calculations
 
13 Affecting Sensitivity Analysis of Optimum
 
14 Affecting Sensitivity Analysis of Optimum
 
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0
 
0
 
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0
 
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0
 
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