PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
IKT 513	EFFICIENCY AND PRODUCTIVITY ANALYSIS	3 + 0	2nd Semester	7,5

COURSE DESCRIPTION

Course Level	Master's Degree
Course Type	Elective
Course Objective	The aims of this course is the basic concepts related to efficiency and productivity is introduced to students. Within the framework of this course, students are expected writing paper about productivity.
Course Content	productivity and efficiency, productivity and efficiency concepts and their scope, the basic determinants of productivity, efficiency and productivity discrimination, production theory, production function: Cobb-Douglas, CES and VES production functions, Translog production function, nonparametric production function, linear programming, primal-dual relation and solution method, basic index: price and quantitiy index, data envelopment analysis and Malmquist productivity index, stochastic frontier analysis, variable time model of inefficiency
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	to be able to decsribe basic concepts about efficiency and productivity
2	to be able to formulate and solve mathematical function
3	to be able to use computer program related to efficiency and productivity
4	to be able to application and write paper about economic issue

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11	PO 12
LO 001	5	5	5	5	5	5	5	5	5	5	5	5
LO 002	5	4	5	4	5	4	5	4	5	4	5	5
LO 003	5	5	5	5	5	5	5	5	5	5	5	5
LO 004	5	5	5	5	4	4	4	5	5	5	5	5
Sub Total	20	19	20	19	19	18	19	19	20	19	20	20
Contribution	5	5	5	5	5	5	5	5	5	5	5	5

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	13	5	65
Hours for off-the-classroom study (Pre-study, practice)	13	3	39
Assignments	2	13	26
Final examination	1	39	39
Midterm	1	26	26
Total Work Load ECTS Credit of the Course			195 7,5

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
IKT 513	EFFICIENCY AND PRODUCTIVITY ANALYSIS	3 + 0	1	Turkish	2023-2024 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Asts. Prof. Dr. HALİL TUNCA	htunca@pau.edu.tr		İİBF A0201	%70

Goals		The aims of this course is the basic concepts related to efficiency and productivity is introduced to students. Within the framework of this course, students are expected writing paper about productivity.
Content		productivity and efficiency, productivity and efficiency concepts and their scope, the basic determinants of productivity, efficiency and productivity discrimination, production theory, production function: Cobb-Douglas, CES and VES production functions, Translog production function, nonparametric production function, linear programming, primal-dual relation and solution method, basic index: price and quantitiy index, data envelopment analysis and Malmquist productivity index, stochastic frontier analysis, variable time model of inefficiency

Topics

Weeks	Topics
1	Basic concepts about efficiency and productivity
2	Basic concepts about efficiency and productivity
3	conceptual framework for the production function
4	conceptual framework for the production function
5	the scope and importance of measurement of efficiency and productivity
6	Used methods on efficiency measurement: price and quantitiy index numbers
7	Used methods on efficiency measurement: parametric models
8	Used methods on efficiency measurement: non-parametric models
9	Data Envelopment models
10	R: packages related with DEA
11	R: packages related with DEA
12	R: Application
13	R: Application
14	R: Application

Materials

Materials are not specified.

Resources

Resources	Resources Language
Coelli T.J. vd (2005). An Introduction to Efficiency and Productivity Analysis. Springer.	English

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	50	Final Exam
Midterm Exam	50	Midterm Exam

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student