GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
NONLINEAR MODELS/1080068
Course Title: NONLINEAR MODELS
Credits 3 ECTS 7.5
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Asst.Prof.Sezgin AKSOY
 -- WEB SITE(S) OF LECTURER(S)
  websitem.gazi.edu.tr/asezgin
 -- EMAIL(S) OF LECTURER(S)
  asezgin@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Giving the nonlinear methods for time serises
Learning nonlinear methods for econometrics time series to apply
 -- 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
  Mathematical Statistics and Time Series Analysis
 --COURSE CONTENT
1. Week  Matrices
2. Week  Multivariate Normal Distribution
3. Week  Linear Models-Theory
4. Week  Linear Models-Estimation
5. Week  General Structure of Nonlinear Models
6. Week  Methods of Parameter Estimation: Nonlinear LS
7. Week  Gauss-Newton Method and Newton-Raphson Method
8. Week  Midterm
9. Week  Labaratory Application
10. Week  Statistical Properties
11. Week  Generalised LS
12. Week  Parameter Estimation Methods in Nonlinear Models with Autocorrelated Error Terms: Two Stage Estimation
13. Week  Parameter Estimation Methods in Nonlinear Models with Autocorrelated Error Terms: Two Stage Estimation
14. Week  Conditional LS
15. Week  The Test of Nonlinearity:BDS Test
16. Week  Applications
 -- RECOMMENDED OR REQUIRED READING
  1. Judge G. and etc. (1988), Introduction to the Theory and Practice of Econometrics 2. Graybill, F. A. (1976), Theory and Application of the Linear Model 3. Gallant, A. R. (1987), Nonlinear Statistical Models 4. Seber, G. A. and C. J. Wild (1988), Nonlinear Regression
 -- 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
50
 Assignment
0
0
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
50
 Contribution of Final Examination to Overall Grade  
50
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
15
2
30
 Practising Hours of Course Per Week
15
1
15
 Reading
15
1
15
 Searching in Internet and Library
15
3
45
 Designing and Applying Materials
0
 Preparing Reports
2
3
6
 Preparing Presentation
5
3
15
 Presentation
3
3
9
 Mid-Term and Studying for Mid-Term
9
2
18
 Final and Studying for Final
12
3
36
 Other
0
 TOTAL WORKLOAD: 
189
 TOTAL WORKLOAD / 25: 
7.56
 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.
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.
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.