Graduate
Institute of Graduate Studies
Money and Capital Markets
Anlık RSS Bilgilendirmesi İçin Tıklayınız.Düzenli bilgilendirme E-Postaları almak için listemize kaydolabilirsiniz.


STATISTICAL ANALYSIS

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
IKP0015 STATISTICAL ANALYSIS 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 expand and deepen his/her field knowledge in the field of Money and Capital Markets at the level of expertise based on the undergraduate qualifications he/she has acquired.
PO-2To use the knowledge gained in the field of Money and Capital Markets theoretically and practically.
PO-3To evaluate information about Money and Capital Markets from a critical perspective and to work independently.
PO-4To understand the interaction of Money and Capital Markets with different disciplines and fields.
PO-5To have sufficient social responsibility and awareness about social needs, to acquire the experience and ability to organize activities that can affect social dynamics when necessary.
PO-6To gain model development, technical analysis and policy making skills in the field of Money and Capital Markets.
PO-7To understand and evaluate any event or problem in the field of Money and Capital Markets on its own and to produce solutions to the problems that arise.
PO-8To analytically evaluate the problems related to Money and Capital Markets and to recommend economic and financial policies suitable for solving the problems.
PO-9To adapt the theoretical knowledge acquired to business life.
PO-10To develop original approaches and to take responsibility in extraordinary situations encountered in the fields of Money and Capital Markets.
PO-11To act in accordance with social, rational, scientific and ethical values in the processes of collecting, interpreting and announcing data related to Money and Capital Markets and to carry out the thesis work 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