GS 591 | Course Introduction and Application Information

Course Name
Research Design and Methods in Social Sciences
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
GS 591
Fall
3
0
3
7.5

Prerequisites
None
Course Language
English
Course Type
Required
Course Level
Second Cycle
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives The course is intended to provide a solid foundation associated with research design and methods in social sciences for graduate students to be used during the rest of their graduate study. This course aims to prepare graduate students to comprehend the tools, subjects and methods related with the logic of the scientific inquiry, research design, and qualitative and quantitative research methods. The course also targets to reinforce awareness of the research process and ability to conduct research in an ethical and through means via suitable research strategies.
Course Description The students who succeeded in this course;
  • Identify appropriate research methods
  • Use both qualitative and quantitative research techniques
  • Define a research problem
  • Formulate research questions and/or hypothesis for a given topic
  • Write a research proposal
  • Conduct an independent research project
  • Evaluate and report the results deriving from a research project
  • Comprehend the ethical responsibilities of a social sciences researcher
Course Content The aim of the course is to deliver a complete understanding of the various\nresearch methods used in the Social Sciences, and to establish necessary practical skills required for their application. In this course, students will be developing a formal research proposal for a master thesis or term project on a topic as it relates to their individual graduate programmes with the supervision of their advisors and present it to the academic staff of the related graduate programme.

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction: Research in Social Science Chapter 2 &3 in Benton & Craib (2011)
2 Introduction to Research Ethics Chapter 1 &2 in Danermark et al. (2002)
3 Stages of Research in Social Sciences -
4 Stages of Research in Social Sciences -
5 Causality, Theory and Hypothesis Chapter 3 in King et al. (1995)
6 Linking Theory and Observation Chapter 5 in Rich et al. (2018)
7 Basics of Statistics -
8 Basics of Statistics -
9 Selecting and Presenting Data Chapter 4 in King et al. (1995) & Chapter 14 in Rich et. Al (2018)
10 Presenting Data by R -
11 Presenting Data by R
12 Surveys and Interviews Chapter 8 & 20 in Rich et al. (2018)
13 Content analysis Chapter 10 in Rich et al. (2018)
14 Scientific Output
15 Projects
16 Projects

 

Course Notes/Textbooks
Qualitative Inquiry & Research Design, Choosing Among Five Approaches, John W. Creswell, Sage, 2007; Fundamentals of Qualitative Research, Johnny Saldana, Oxford University Press, 2011; Research Methods for Political Science: Quantitative and Qualitative Methods, David E McNabb, Routledge, 2015; Qualitative Research Methods for the Social Sciences, Howard Lune & Bruce L. Berg, 2017; OpenIntro Statistics / David Diez, Christopher barr, Mine Çetinkaya-Rundel, 3rd ed, Statistics for business and economics / Paul Newbold, William L. Carlson, Betty M. Thorne.—8th ed. 2013, Introduction to New statistics / Geoff Cumming, Robert Calin-Jageman. 1st ed, 2017.
Suggested Readings/Materials

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
15
10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Homework / Assignments
2
50
Presentation / Jury
Project
1
40
Seminar / Workshop
Oral Exams
Midterm
Final Exam
Total

Weighting of Semester Activities on the Final Grade
2
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
16
3
Field Work
Quizzes / Studio Critiques
Homework / Assignments
2
10
Presentation / Jury
Project
1
30
Seminar / Workshop
Oral Exam
Midterms
Final Exam
    Total
146

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To improve and deepen actual and advanced level knowledge in economics in the level of expertise by inventive thoughts and/or research and to get inventive contributions to science.

2

To comprehend the interaction between economics and related fields; to achieve inventive results by using knowledge requiring expertise in analysis, synthesis and evaluation of new and complex ideas.

3

To be able to apply the advanced level knowledge acquired in economics and finance.

4

Creating new knowledge by combining the knowledge of financial economics with the knowledge coming from other disciplines and also be able to solve problems which requires expert knowledge by applying scientific methods.

5

To be able to critically evaluate the knowledge in financial economics, to lead learning and carry out advanced level research independently.

6

Being able to use a foreign language for both following scientific progress and for written and oral communication.

7

To be able to develop new strategic approaches for unexpected, complicated situations in financial economics and take responsibility in solving it.

8

To be able to use computer programs needed in the field financial economics as well as information and communication technologies in advanced levels.

9

To possess the communication network to put the economic and social needs of the region of residence on the agenda.

10

To have adequate social responsibility and conciousness about the needs of society and to have the experience and authority  to organize and support the operations that can affect and drive  the social dynamics when necessary.

11

To be able to think analytically to identify problems in financial economics and to be able to make policy recommendations in economics and finance based on scientific analysis of issues and problems.

12

To protect the social, scientific and ethical values at the data collection, interpretation and dissemination stages and to be able to introduce and supervise these values.

13

To be able to use the skills of modeling, empirical analysis and formulating policy options that are developed for financial economics, in interdisciplinary contexts.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest