GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
TIME SERIES ANALYSIS/4080041
Course Title: TIME SERIES ANALYSIS
Credits 3 ECTS 7.5
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assoc. Prof. Yeliz YALCIN
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/yyeliz
 -- EMAIL(S) OF LECTURER(S)
  yyeliz@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Students can specify multivariate time series models
Students can do forecasting via multivariate time series models.
Students can do structural analysis by using multivariate time series models.






 -- 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
  Basic Statistics
 --COURSE CONTENT
1. Week  Dickey-Fuller Unit Root Tests
2. Week  Seasonal Unit Root Tests
3. Week  Unit Root Test under Structural Breaks
4. Week  Engle-Granger Cointegration Analysis
5. Week  Vector Autoregressive Models -Identification problem
6. Week  Impulse-responses Analysis Variance Decomposition of Forecat Errors
7. Week  Granger Causality Test Sims Causality Test
8. Week  Midterm
9. Week  Johansen Cointegration Analysis Trace and Max Eigenvalue Tests Exogeneity Concept
10. Week  Weak Exogeneity Tests
11. Week  Structural Vector Autoregressive Models-I
12. Week  Structural Vector Autoregressive Models-II
13. Week  Time Series Models of Heteroskedasticity-I
14. Week  Time Series Models of Heteroskedasticity-II
15. Week  Eviews Practices
16. Week  Final
 -- RECOMMENDED OR REQUIRED READING
  1. Hamilton, James.D. (1994) Time Series Analysis, Princeton University Press 2. Akdi, Yılmaz (2010) Zaman Serileri Analizi (Birim Kökler ve Kointegrasyon) Gazi Kitapevi
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture
 -- WORK PLACEMENT(S)
  -
 -- 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
12
3
36
 Practising Hours of Course Per Week
2
3
6
 Reading
14
2
28
 Searching in Internet and Library
12
2
24
 Designing and Applying Materials
14
1
14
 Preparing Reports
12
2
24
 Preparing Presentation
12
2
24
 Presentation
1
3
3
 Mid-Term and Studying for Mid-Term
7
2
14
 Final and Studying for Final
7
2
14
 Other
0
0
0
 TOTAL WORKLOAD: 
187
 TOTAL WORKLOAD / 25: 
7.48
 ECTS: 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2X
3
4X
5X
6X
7X
8X
9X
10X