GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
VARIANCE ANALYSIS AND EXPERIMENTAL DESIGN/EKON311
Course Title: VARIANCE ANALYSIS AND EXPERIMENTAL DESIGN
Credits 3 ECTS 5
Semester 5 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  TURKISH
 -- NAME OF LECTURER(S)
  PROF. AYDIN UNSAL
 -- WEB SITE(S) OF LECTURER(S)
  websitem.gazi.edu.tr/site/aunsal
 -- EMAIL(S) OF LECTURER(S)
  aunsal@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Establishes the fixed effect model
Understands where Fixed Effect Model is used
Establishes the Random effect model
Understands where Random Effect Model is used
Establishes the Mixed effect model
Understands where Mixed Effect Model is used



 -- 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  "Relationship Between Regression Analysis and Analysis of Variance Factor, Factor Levels and Process"
2. Week  "Distribution Assumption Parameter Estimations Parameter Estimations with Least Square Method"
3. Week  Distributions and Theorems
4. Week  Exercise
5. Week  Review of Sum of Square
6. Week  "Expected Value of Sum of Square Expected values of Sum of Square of Mean Of Between Group and Error Terms"
7. Week  F Distribution
8. Week  Midterm
9. Week  Analysis of Variance
10. Week  "One Factor Fixed Effect Model Partition of Total Sum of Squares Formulas of Total Sum of Square"
11. Week  "Expected Value of Total Sum of Squares Expected Value of Sum of Square of Between Group Expected Value of Sum of Square Error Terms"
12. Week  "Multiple Comparisons Paired Comparison"
13. Week  "Two Factor Analysis of Variance Model Parameter Estimations Partition of Total Sum of Squares"
14. Week  "Formulas of Sum of Square F Test Analysis of Variance"
15. Week  Exercise
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  Statistical Design and Analysis of Experiments, Peter W.M. JOHN, 1971, New York,Mcmillan Company.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  none
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
0
 Assignment
0
0
 Exercises
0
0
 Projects
0
0
 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
12
3
36
 Practising Hours of Course Per Week
2
3
6
 Reading
14
2
28
 Searching in Internet and Library
14
2
28
 Designing and Applying Materials
0
0
0
 Preparing Reports
0
0
0
 Preparing Presentation
0
0
0
 Presentation
0
0
0
 Mid-Term and Studying for Mid-Term
7
2
14
 Final and Studying for Final
7
2
14
 Other
0
 TOTAL WORKLOAD: 
126
 TOTAL WORKLOAD / 25: 
5.04
 ECTS: 
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 aspects of econometrics, statistics and operational research.X
2Having qualities for professional competence in order to work in career fields such as inspector or assistant specialist or working department of research-development in public institutions and organizations, the private sector and civil society organizations.X
3Having knowledge about other disciplines such as economics, managements, public finance and law related to econometrics.X
4Having appropriate behavior of econometrics in 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
5Having skills about foreign language and information system related to the fields in academic and working life.X
6Having skills about selecting, using and evaluating of appropriate statistical, econometric and mathematical programming methods, based on theoretical and practical knowledge acquired in the field related to the current problems faced by.X
7Having skills to work with the team for reach fruitful results in interdisciplinary and interdisciplinary studies.X
8Having knowledge of research methods in the field of institutions and organizations planning projects, managing, and to conduct independent researches.X
9Having qualities for analytical thinking, prospecting and bring scientific solutions to problems as a researcher.X
10Having skills to comprehension, application and evaluation about terms and basic theory of econometrics.X
11Having skills to comprehension, application and evaluation about terms and basic theory of statistics.X
12Having skills to comprehension, application and evaluation about terms and basic theory of statistics.X
13Using some of the basic econometric and statistical software programs.X