GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
PERFORMANCE EVALUATION AND MANAGEMENT/IE373
Course Title: PERFORMANCE EVALUATION AND MANAGEMENT
Credits 3 ECTS 4
Course Semester 5 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  English
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
1-Introduction to linear decision support (KDS) software
2-Llinear programming model creation
3-DMS knowledge of solution and output interpretation.
4-Knowledge of basic performance evaluation methods.
5-Knowledge of reference set concept and determination of target values.
6- Knowledge of input / output oriented model building.
7- Knowledge of constant, variable returns to scale and related concepts according to the scale
8-Super efficiency, cross-event information
9- Performance evaluation with panel data.
10- Examination of performance change over time.
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  1-DP and Modeling overview. Interpretation of KDS outputs
2. Week  2- An overview of the basic concepts and evaluation methods related to performance.
3. Week  3- Simple performance models.
4. Week  4- Target values ​​and reference set for effciency.
5. Week  5- Two-stage CCR model.
6. Week  6-Some aplication of wo-stage CCR model
7. Week  7-Variable returns to scale models (BCC)
8. Week  8- Other performance models.
9. Week  9-Midterm exam
10. Week  10- Decision support systems of performance analysis.
11. Week  11- Some applications with decision support systems
12. Week  12- Algorithms of common set of weights
13. Week  13- Super efficiency, Cross efficiency.
14. Week  14- Window analysis.
15. Week  15- Total factor productivity change analysis / Malmquist index
16. Week  16- Final examination
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
0
0
 Application
0
0
 Projects
1
20
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- 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
0
 Searching in Internet and Library
9
2
18
 Material Design and Implementation
0
 Report Preparing
4
3
12
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
7
3
21
 Final Exam and Preperation for Final Exam
6
3
18
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
111
 TOTAL WORKLOAD / 25: 
4.44
 Course Credit (ECTS): 
4
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems.X
2Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purposeX
3Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose...X
4Ability to devise, select, and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectivelyX
5Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questionsX
6Ability to work efficiently in intradisciplinary and multi-disciplinary teams; ability to work individuallyX
7Ability to communicate effectively in Turkish, both orally and in writing knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructionsX
8Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herselfX
9Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice .X
10Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable developmentX
11Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions .X
 -- NAME OF LECTURER(S)
   (Prof.Dr.İhsan ALP)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/ihsanalp)
 -- EMAIL(S) OF LECTURER(S)
   (ihsanalp@gazi.edu.tr)