GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ADVANCED STATISTICAL METHODS II/5080048
Course Title: ADVANCED STATISTICAL METHODS II
Credits 3 ECTS 7.5
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof. Serdar KILIÇKAPLAN
 -- WEB SITE(S) OF LECTURER(S)
  skilickaplan@gazi.edu.tr
 -- EMAIL(S) OF LECTURER(S)
  www.gazi.edu.tr/skilickaplan
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Learn to use index numbers in economic analysis
Construct and interpret a Laspeyers and Paasche price index.
Learn to calculate methods of inflation
Learn sampling and bias in economics index numbers
Understand the construction, importance, interprit and differences of the CPI, PPI and COLI




 -- 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  Approximation of Index Numbers
2. Week  Economic Analysis of Laspeyres and Paasche Index Numbers
3. Week  Chain Index Numbers
4. Week  Whose Index? Discussion
5. Week  Calculation Methods of Inflation
6. Week  Some Calculations on Index Numbers
7. Week  Interpriting of Index Numbers
8. Week  Presentations
9. Week  Types of Theoretical Index Bias
10. Week  Price Index Numbers and Scanner Data
11. Week  Sampling and Index Numbers
12. Week  Bias in Economics Index Numbers
13. Week  Consumer Price Index,Producer Price Index, Cost of Living İndex
14. Week  İndekslerde Uygulamalar
15. Week  Presentations of doctorate thesis project
16. Week  Presentations
 -- RECOMMENDED OR REQUIRED READING
  -John, Peter W.M., Statistical Design and Analaysis of Experiments, 1971, The Macmillian Company -Draper, Norman ve Smith, Harry, Applied Regression
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise, Homework
 -- WORK PLACEMENT(S)
  Not Applicable
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
0
0
 Assignment
2
60
 Exercises
0
0
 Projects
1
40
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
60
 Contribution of Final Examination to Overall Grade  
40
 -- 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
15
2
30
 Searching in Internet and Library
14
2
28
 Designing and Applying Materials
0
 Preparing Reports
14
3
42
 Preparing Presentation
14
3
42
 Presentation
2
3
6
 Mid-Term and Studying for Mid-Term
0
 Final and Studying for Final
0
 Other
0
 TOTAL WORKLOAD: 
190
 TOTAL WORKLOAD / 25: 
7.6
 ECTS: 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2X
3
4X
5X
6
7X
8X
9
10