GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
INDEX NUMBER THEORY AND APPLICATIONS/1080071
Course Title: INDEX NUMBER THEORY AND APPLICATIONS
Credits 3 ECTS 7.5
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof. Serdar Kılıçkaplan
 -- WEB SITE(S) OF LECTURER(S)
  www.gazi.edu.tr/skilickaplan
 -- EMAIL(S) OF LECTURER(S)
  skilickaplan@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Students learn measure the changes exculisively in the economical activities.
Students calculate price index, quantity index and value index numbers.
Students calculate weighted and unweighted index numbers.
Students construct and interpret a Laspeyres and a Paasche index numbers.
Students learn Consumer Price index and Producer Price Index.
Students deflate a series by price indexes.



 -- 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  Definition, Nature and Features of Index Numbers
2. Week  Uses of Index Numbers
3. Week  Fix Base System and Chain Base System
4. Week  Type of Index Numbers : Simple and Composite Index Numbers
5. Week  Type of Index Numbers : Simple and Composite Index Numbers
6. Week  Unweighted Composite Index Num
7. Week  Weighted Composite Index Numbers : Laspeyres's and Paasche's Indeks Numbers
8. Week  MIDTERM EXAM
9. Week  Problems in Index Number Construction
10. Week  Interpriting of Index Numbers
11. Week  Test of Adequacy of Index Numbers
12. Week  Splicing and Shifting the Base of Index Numbers
13. Week  Methods of Constructing Consumer Price İndex
14. Week  Producer Price Index
15. Week  Deflating a Series by Price Indexes
16. Week  FINAL EXAM
 -- RECOMMENDED OR REQUIRED READING
  Kılıçkaplan, Serdar.Index Numbers Theory and Applications(Lecture Notes)
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  Not Applicable
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
30
 Assignment
1
10
 Exercises
0
0
 Projects
1
10
 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
2
28
 Practising Hours of Course Per Week
14
1
14
 Reading
16
3
48
 Searching in Internet and Library
10
2
20
 Designing and Applying Materials
3
1
3
 Preparing Reports
0
 Preparing Presentation
9
3
27
 Presentation
3
3
9
 Mid-Term and Studying for Mid-Term
7
3
21
 Final and Studying for Final
7
3
21
 Other
0
 TOTAL WORKLOAD: 
191
 TOTAL WORKLOAD / 25: 
7.64
 ECTS: 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Having the professional expertise and skills on theoretical and practical aspect of econometrics.X
2Having appropriate behavior of econometricsin the field of social, scientific, cultural and ethical values, applicability of gained knowledge and skills in accordance with the principle of responsibility to social and working life.X
3Having skills about selecting, using and evaluating of appropriate econometrics and statistical programming methods, based on theoretical and practical knowledge acquired in the field related to the current problems faced by.X
4Having skills to work with the team for reach fruitful results in interdisciplinary and interdisciplinary studies.X
5Having knowledge of research methods in the field of institutions and organizations planning projects, managing in order to conduct independent research.X
6Using some of the advanced level econometrics and statistical software programs.
7Having skills about information system related to the fields in working life.
8Having qualities for analytical thinking, prospecting and bring scientific solutions to problems as a researcher.X
9Having skills to comprehension, application and evaluation about terms and basic theory of operational research.
10Having the professional expertise and skills on theoretical and practical aspects of operational research.