GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
NEW APPROACHES IN ECONOMETRIC ANALYSIS/5270044
Course Title: NEW APPROACHES IN ECONOMETRIC ANALYSIS
Credits 3 ECTS 7.5
Semester 2 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assoc. Prof. Dr. Nuray TOSUNOĞLU
 -- WEB SITE(S) OF LECTURER(S)
  -
 -- EMAIL(S) OF LECTURER(S)
  nguneri@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
They define econometrics.
They have knowledge about econometric models.
They know the concept of artificial intelligence.
They have knowledge about the application of artificial intelligence techniques in time series.
 -- MODE OF DELIVERY
  Face to face
 -- PREREQUISITES AND CO-REQUISITES
  -
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  -
 --COURSE CONTENT
1. Week  Introduction to econometrics
2. Week  Time series
3. Week  Analyzes used in time series
4. Week  Time series applications
5. Week  Artificial intelligence
6. Week  Artificial intelligence techniques
7. Week  Artificial neural networks
8. Week  Fuzzy logic
9. Week  Time series analysis with artificial intelligence techniques
10. Week  Makale inceleme ve sunum
11. Week  Makale inceleme ve sunum
12. Week  Makale inceleme ve sunum
13. Week  Semester course evaluation
14. Week  Final report presentation
15. Week  Final
16. Week  -
 -- RECOMMENDED OR REQUIRED READING
  Gujarati, "Basic Econometrics" D. Gujarati, D.Porter, "Temel Ekonometri" Çev. G. Şenesen, Ü. Şenesen J.H. Stock, M.W. Watson (2011) "Ekonometriye Giriş" Çev. B. Saraçoğlu A.Koutsoyiannis, "Ekonometri Kuramı" Çev. Ü. Şenesen, G. Şenesen Wooldridge Jeffrey, "Ekonometriye Giriş - Modern Yaklaşım, Çev. E. Çağlayan
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture
 -- WORK PLACEMENT(S)
  -
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
20
 Assignment
2
40
 Exercises
1
20
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
80
 Contribution of Final Examination to Overall Grade  
20
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
0
 Reading
14
4
56
 Searching in Internet and Library
14
4
56
 Designing and Applying Materials
0
 Preparing Reports
2
4
8
 Preparing Presentation
1
2
2
 Presentation
1
5
5
 Mid-Term and Studying for Mid-Term
1
10
10
 Final and Studying for Final
1
10
10
 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
1X
2X
3X
4X
5X
6X
7X
8X
9X
10X