GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ECONOMICS II/İST2022
Course Title: ECONOMICS II
Credits 2 ECTS 2
Course Semester 4 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  ECONOMICS II
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Understanding of economic analysis methods
The ability to make the macro-economic analysis
Learning the basic macro-economic concepts
To perceive the flow of national and international economic activities
Learning the concepts of national accounting
Use graphical methods of macro-economic analysis
To learn the classical theories
To learn the contemporary economic theory
Gaining the ability to make economic growth and development analysis
Perspective on the problems and propose solutions to develop the country
 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face.
 --WEEKLY SCHEDULE
1. Week  Basic concepts
2. Week  Definition of national income and national income concepts
3. Week  National accounting, growth, inflation, such as the relationship between concepts
4. Week  Keynesian income expenditure model
5. Week  Analysis of Inflation and Deflation
6. Week  Multiplier analysis, The principle of accelerating and business cycle theories
7. Week  IS-LM analysis
8. Week  AD-AS analysis, Midterm exam
9. Week  Views and theories of classical economists
10. Week  Monetarist Approach
11. Week  Post-Keynesian Approach
12. Week  New-Keynesian Approach
13. Week  Neo-Classical Synthesis and New Classical Models
14. Week  Real business cycle theories, Income distribution and the Lorenz curve
15. Week  Real business cycle theories, Income distribution and the Lorenz curve
16. Week  Final
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
2
10
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
50
 Percentage of Final Exam to Total Score  
50
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
2
28
 Weekly Tutorial Hours
0
 Reading Tasks
5
1
5
 Searching in Internet and Library
5
1
5
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
1
4
4
 Final Exam and Preperation for Final Exam
2
4
8
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
50
 TOTAL WORKLOAD / 25: 
2
 Course Credit (ECTS): 
2
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
11. The statistical textbooks which include latest information about statistics, equipment and other resources supported by scientific approach on undergraduate level have theoretical and practical knowledge.X
22. Statisticians by using knowledge and skills acquired at bachelor degree level model, analyze, and interpret datasets.X
33. Statisticians identify and analyze the problems with current developments in statistic and also develop solutions based upon researches and proofs.X
44. Statisticians apply theoretical and practical knowledge acquired in Statistics at bachelor degree level to the current problems.X
55. Statisticians have the ability to use computer software and computing technology at the certain level required by statistics field.X
66. Statisticians take responsibility at disciplinary and interdisciplinary studies as an individual or a team member.X
77. Statisticians must have knowledge and ability to follow development in the field of Statistics, and must develop life long-learning attitudes.X
88. By using a foreign language, statistician can keep track of every statistical information, and communicate with colleagues.X
99. Applying the statistical knowledge in the professional sense, statistician has social, scientific, and ethical values.X
1010. A statistician must have the ability to social sensitivity and socialization.X
1111. During the process of inference, a statistician uses time efficiently with the analytical thinking ability.X
 -- NAME OF LECTURER(S)
   (Dr. Ömer Tanju DURUSOY)
 -- WEB SITE(S) OF LECTURER(S)
   (http://www.websitem.gazi.edu.tr/site/durusoy)
 -- EMAIL(S) OF LECTURER(S)
   (durusoy@gazi.edu.tr)