Graduate
Institute of Graduate Studies
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Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
IKY1004 3/0/0 DE 6
Course Goals

It is aimed that the students taking the course have knowledge about statistical analysis and interpretation of results.

Prerequisite(s) Course Code Course Name…
Corequisite(s) Course Code Course Name…
Special Requisite(s) The minimum qualifications expected from the student in order to take the course. (Examples: Foreign language level, attendance, previously acquired institutional competencies, etc.)
Instructor(s) Professor Burak Güriş
Course Assistant(s)
Schedule Thursday, 6.00pm-9:00 pm, Ataköy
Office Hour(s) Thursday
Teaching Methods and Techniques -
Principle Sources -
-Bilimsel Araştırmalarda SPSS ile İstatistik, Selahattin Güriş, Melek Astar, DER Yayınları 2019
-R ile Temel Ekonometri, Selahattin Güriş, Ebru Çağlayan Akay, Burak Güriş, DER Yayınları 2020  
Other Sources -
Course Schedules
Week Contents Learning Methods
1. Week Basic Concepts of Statistics and R Program Introduction
2. Week Basic Concepts of Statistics and R Program Applications
3. Week Hypothesis Tests
4. Week Hypothesis Testing and R applications
5. Week Hypothesis Testing and R applications
6. Week Correlation and Simple Linear Regression Model
7. Week Multiple Linear Regression Model
8. Week Testing Deviations from Assumptions: Autocorrelation
9. Week Testing Deviations from Assumptions: Varying Variance
10. Week Testing Deviations from Assumptions: Multiple Linear Dependence and Normality
11. Week Dummy variables and structural change
12. Week Models with Qualitative Dependent Variables
13. Week
14. Week
15. Week
16. Week
17. Week
Assessments
Evaluation tools Quantity Weight(%)


Program Outcomes
PO-1A student who successfully completes the program will be able To develop a critical perspective by defining economic theories, comparing theory applications, and economic systems.
PO-2To identify economic agents (such as government, firms, households, etc.), to understand their roles within the economy, to evaluate and analyze them.
PO-3To define policies for solving economic problems, to evaluate solution proposals, and to develop policies.
PO-4To make predictions regarding the resolution of economic problems using numerical methods and econometric analysis techniques.
PO-5To make future predictions by evaluating national and international economic and financial data.
PO-6To relate economic growth and development to social events historically.
PO-7To utilize skills such as independent work, taking responsibility, and creativity.
PO-8To develop skills in teamwork through verbal and written communication, problem-solving, and to utilize information technologies.
PO-9To adapt the theoretical knowledge acquired to business life.
PO-10To evaluate skills that will be useful for future careers.
PO-11To act in accordance with social, rational, scientific and ethical values during the collection, interpretation and announcement of data related to the field of Managerial Economics and to carry out the thesis within the framework of these principles.
Learning Outcomes
LO-1Mastering the basics of statistics
LO-2Hypothesis generation
LO-3Ability to test hypotheses
LO-4Ability to perform statistical analysis
LO-5Performing statistical method applications in R program
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11