GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
EFFİCİENCY ANALYSİS/5191303
Course Title: EFFİCİENCY ANALYSİS
Credits 3 ECTS 7.5
Course Semester 1 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Learning Basic Concepts Related to Performance.
Performance Evaluation Methods.
Performance Evaluation of Linear Programming.
Using Decision Support System Model for Open.
Concepts Returns to Scale.
Determination of Redundancy and Scarcity Input and Outputs.
Input-Output Oriented.
Stability Over Time and Trends of Performance Evaluation.
Evaluation of Total Factor Productivity.
Sequencing of Effective Decision-Makers.
 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face.
 --WEEKLY SCHEDULE
1. Week  Overview of linear programming.
2. Week  Modeling and description, operation, interpretation of outputs of DP-DSS (Lindo).
3. Week  Overview of the performance evaluation methods.
4. Week  Basic efficiency models.
5. Week  CCR (input-oriented) model creation, solution and interpretation of results.
6. Week  CCR (output-oriented) model creation, solution and interpretation of results.
7. Week  Midterm.
8. Week  BCC model(input, output oriented) and applications.
9. Week  Other models.
10. Week  Description, operation, interpretation of outputs of EMS (Efficiency Measurement System).
11. Week  Malmquist index.
12. Week  Super efficiency.
13. Week  Window Analysis.
14. Week  Project work I.
15. Week  Project work II.
16. Week  Final
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
20
 Assignment
1
10
 Application
0
0
 Projects
1
40
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
70
 Percentage of Final Exam to Total Score  
30
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
10
2
20
 Searching in Internet and Library
10
2
20
 Material Design and Implementation
8
3
24
 Report Preparing
8
3
24
 Preparing a Presentation
5
3
15
 Presentation
1
1
1
 Midterm Exam and Preperation for Midterm Exam
4
5
20
 Final Exam and Preperation for Final Exam
4
5
20
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
186
 TOTAL WORKLOAD / 25: 
7.44
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
11. Based on the capabilities of undergraduate level, the students enrolled to the program can develop and deepen their knowledge and skill at the level of expertise on the same field of the undergradute study or a different field.X
22. The students use their theoretical and practical knowledge at the level of expertise in the area of statistics.X
33. The students should evaluate their acquired knowledge and skills in a critical perspective and the critical point of view guides their learning process.X
44. Theoretical and practical knowledge gained in graduate level in the field of Statistics should be applied and transfer to the current problems.X
55. By performing the process from the identification of the scientific research problem to reporting and the process should be transferred in oral, written and visual ways.X
66. The students should use computer software and information technologies on the level required by the field of Statistics.X
77. The students should have the ability to use Statistics in interdisciplinary studies.X
88. The students should have enough foreign language level to pursue statistical literature.X
99. At the required level of field of statistics, he/she should use statistical software and information technology efficiently in a such a way that helps solving problems in his/her research.X
1010. In the process of applying knowledge in a professional sense, social, scientific, and ethical values should be regarded.X
 -- NAME OF LECTURER(S)
   (Prof. İhsan ALP)
 -- WEB SITE(S) OF LECTURER(S)
   (websitem.gazi.edu.tr/site/ihsanalp)
 -- EMAIL(S) OF LECTURER(S)
   (ihsanalp@gazi.edu.tr )