· the analytical skills to deal with the data in social sciences.
· the ability to use the tools of statistics to explain, analyze and resolve economic issues, and evaluate policy decisions;
the habit of reading critically, from a variety of sources, to gain information about the policies at the national and international levels and interpret the data.
Prerequisite(s)
NA
Corequisite(s)
NA
Special Requisite(s)
NA
Instructor(s)
Assoc. Prof. Nebile Korucu Gümüşoğlu, Pınar Sarp
Course Assistant(s)
Schedule
Tuesday 09:00-10:50
Office Hour(s)
WEdnesday, 11:00-13:00
Teaching Methods and Techniques
-Lectures, Online materials, Open courses, IMF, Central Bank, OECD, Eurostat web sites.
Principle Sources
-
Social Research Methods, W. Lawrence Neuman, Pearson.
Business Research Methods, Zikmund, Babin, Carr and Griffin, 9th edition, Cengage Publishing.
Data Analysis for the Social Sciences, Douglas Bors, SAGE Publishing.
Other Sources
-
Course Schedules
Week
Contents
Learning Methods
1. Week
What is data? Introduction to Data Types
Presentations and discussions
2. Week
Data Types (qualitative, quantitative)
Presentations and discussions
3. Week
Determination of appropriate data
Presentations and discussions
4. Week
Using databases
Presentations and discussions
5. Week
Analysis methods used in social sciences
Presentations and discussions
6. Week
Data analysis by using SPSS
Presentations and discussions
7. Week
Data analysis by using SPSS
Presentations and discussions
8. Week
Midterm
-
9. Week
Midterm
-
10. Week
Data analysis by using R and Python
Presentations and discussions
11. Week
Data analysis by using R and Python
Presentations and discussions
12. Week
Presentations
Presentations and discussions
13. Week
Presentations
Presentations and discussions
14. Week
Presentations
Presentations and discussions
15. Week
Final Exam
16. Week
Final Exam
17. Week
Final Exam
Assessments
Evaluation tools
Quantity
Weight(%)
Quizzes
2
10
Project(s)
1
40
Final Exam
1
50
Program Outcomes
PO-1
Demonstrates a basic level of understanding in related disciplines (such as economics, sociology, psychology, quantitative sciences, etc.) that form a foundation for business administration, and makes use of and applies them to the field of business.
PO-2
Applies mathematical, scientific and social knowledge to business problems.
PO-3
Demonstrates a basic level of understanding in business functions and management (such as management, production, marketing, accounting, finance, human resources, behavioural sciences, etc.) and interprets the theoretical arguments focusing on interactions between the actors and the cultures in the field.
PO-4
Determines how to use acquired theoretical and practical knowledge and skills related to business in application and field analysis and applies them.
PO-5
Identifies and evaluates the relations in the field of business; describes the problems and presents analytical solutions through modelling and interpreting (critical thinking).
PO-6
Designs a business process in any functional stage that complies with identified objectives.
PO-7
Develops effective business communication skills (written-verbal/formal-informal).
PO-8
Owns effective working skills individually or on a team in business and multidisciplinary fields.
PO-9
Acts with a sense of professional and ethical responsibility.
PO-10
Improves effective verbal and written communication skills in English, and acquires competence in minimum one foreign language.
Learning Outcomes
LO-1
can separate data types.
LO-2
can determine which data type should be used.
LO-3
can withdraw the required data from the most appropriate database.
LO-4
can apply appropriate data analysis methods
LO-5
can interpret the analyzes and future implications
