GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ECONOMICS II/İST-222
Course Title: ECONOMICS II
Credits 2 ECTS 3
Semester 4 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
   Ass.Prof. Ömer Tanju DURUSOY
 -- WEB SITE(S) OF LECTURER(S)
  www.gazi.edu.tr/~durusoy
 -- EMAIL(S) OF LECTURER(S)
  durusoy@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
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
 -- 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   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.
7. Week   The principle of accelerating and business cycle theories.
8. Week   IS-LM analysis.
9. Week   AD-AS analysis.
10. Week   Views and theories of classical economists.
11. Week   Monetarist Approach.
12. Week   Post-Keynesian Approach.
13. Week   New-Keynesian Approach.
14. Week   Neo-Classical Synthesis and New Classical Models.
15. Week   Real business cycle theories.
16. Week   Income distribution and the Lorenz curve.
 -- RECOMMENDED OR REQUIRED READING
   Prof.Dr. Erdal ÜNSAL,Mikroiktisat
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture
 -- WORK PLACEMENT(S)
  No
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
40
 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
15
3
45
 Practising Hours of Course Per Week
0
 Reading
15
1
15
 Searching in Internet and Library
15
1
15
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
1
4
4
 Final and Studying for Final
1
4
4
 Other
0
 TOTAL WORKLOAD: 
83
 TOTAL WORKLOAD / 25: 
3.32
 ECTS: 
3
 -- 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