GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
OPERATIONS RESEARCH II/İST-321
Course Title: OPERATIONS RESEARCH II
Credits 3 ECTS 5
Semester 5 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assoc. Prof. Dr. H. Hasan ÖRKCÜ
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/hhorkcu
 -- EMAIL(S) OF LECTURER(S)
  hhorkcu@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Gaining ability of solving shortest path problems
Ability to solve maximum flow problems
Learning of CPM-PERT applications
Gaining ability of solving dynamic programming problems
Obtaining enough knowledge to solve inventory problems
Gaining ability to understand game theory concept and to solve its problems



 -- 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
  Operations Research I
 --COURSE CONTENT
1. Week  Linear Programming General Concepts
2. Week  General Integer and Network Models
3. Week  Minimum spanning tree models
4. Week  The shortest path problems
5. Week  Dynamic Programming
6. Week  Goal Programming and Models
7. Week  Goal Programming Model Solution Methods - Graphical Method
8. Week  Midterm exam
9. Week  Goal Programming Model Solution Methods - Simplex Method
10. Week  Game Theory
11. Week  Game Theory
12. Week  Inventory Models
13. Week  Inventory Models
14. Week  Queuing Theory
15. Week  Queuing Theory
16. Week  Final exam
 -- RECOMMENDED OR REQUIRED READING
  Winston W. L., 1991, Operations Research. 2. Hillier F. S., Lieberman J. G., 1970, Introduction to Operations Research, Holden-Day Inc. San Francisco.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer
 -- WORK PLACEMENT(S)
  Application
 -- 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
3
42
 Practising Hours of Course Per Week
0
 Reading
10
2
20
 Searching in Internet and Library
10
2
20
 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
3
10
30
 Other
1
3
3
 TOTAL WORKLOAD: 
125
 TOTAL WORKLOAD / 25: 
5
 ECTS: 
5
 -- 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