GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
OPERATIONS RESEARCH I/İST-206
Course Title: OPERATIONS RESEARCH I
Credits 4 ECTS 6
Semester 4 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof. Dr. Hasan BAL
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/hasanbal
 -- EMAIL(S) OF LECTURER(S)
  hasanbal@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Gaining ability to model manegement problems and decision making problems
Learning basic definitions such a constrains, resource values, the objective function, feasible solution and optimum solution.
Obtaining solution of a two-variable linear programming problems with the graphics method
Learning the basic theorems of linear programming.
Ability of solving a multivariate linear programming problem with the simplex method
Obtaining ability to write dual model of a linear programming model and enough knowledge to understand the relationships between primal model and dual
Learning sensitivity analysis
Gaining knowledge to understand transportation models and theirs solution methods
Gaining ability to understand assignment models and theirs solution method
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  History of Operations Research and its basic definitions
2. Week  Modeling of decision problems
3. Week  Linear programming models
4. Week  Graphical method
5. Week  Simplex method
6. Week  M method
7. Week  Two-stage simplex method
8. Week  Mid-term exam
9. Week  Duality
10. Week  Duality
11. Week  Sensitivity analysis
12. Week  Transportation problems and solution methods
13. Week  Transportation problems and solution methods
14. Week   Assigment problem solution
15. Week  Current Software Support Related to course content (WinQSB, Matlab, ...).
16. Week  Final exam
 -- RECOMMENDED OR REQUIRED READING
  Winston W. L., 1991, Operations Research. 2. Bal, H. 2001, Matematiksel Programlama.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer
 -- WORK PLACEMENT(S)
  Uygulama
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
30
 Assignment
2
10
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
4
56
 Practising Hours of Course Per Week
0
 Reading
8
3
24
 Searching in Internet and Library
6
3
18
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
2
5
10
 Final and Studying for Final
4
10
40
 Other
1
2
2
 TOTAL WORKLOAD: 
150
 TOTAL WORKLOAD / 25: 
6
 ECTS: 
6
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
11. The statistical textbooks which include latest information about statistics, equipment and other resources supported by scientific approach on undergraduate level have theoretical and practical knowledge.X
22. Statisticians by using knowledge and skills acquired at bachelor degree level model, analyze, and interpret datasets.X
33. Statisticians identify and analyze the problems with current developments in statistic and also develop solutions based upon researches and proofs.X
44. Statisticians apply theoretical and practical knowledge acquired in Statistics at bachelor degree level to the current problems.X
55. Statisticians have the ability to use computer software and computing technology at the certain level required by statistics field.X
66. Statisticians take responsibility at disciplinary and interdisciplinary studies as an individual or a team member.X
77. Statisticians must have knowledge and ability to follow development in the field of Statistics, and must develop life long-learning attitudes.X
88. By using a foreign language, statistician can keep track of every statistical information, and communicate with colleagues.X
99. Applying the statistical knowledge in the professional sense, statistician has social, scientific, and ethical values.X
1010. A statistician must have the ability to social sensitivity and socialization.X
1111. During the process of inference, a statistician uses time efficiently with the analytical thinking ability.X