GRADUATE SCHOOL
Logistics Management (With Thesis)
GSSS 591 | Course Introduction and Application Information
| Course Name |
Research Design and Methods in Social Sciences
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Code
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Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
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ECTS
|
|
GSSS 591
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Fall/Spring
|
3
|
0
|
3
|
7.5
|
| Prerequisites |
None
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| Course Language | ||||||
| Course Type |
Second Foreign Language
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| Course Level |
-
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| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | - | |||||
| 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. |
| Learning Outcomes |
The students who succeeded in this course;
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| Course Description | 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. |
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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 to Research Design in Social Sciences | |
| 2 | Introduction to Research Ethics | |
| 3 | Introduction to Qualitative Research: Why Qualitative Research, The Design of Qualitative Research | Qualitative Inquiry & Research Design, Choosing Among Five Approaches, John W. Creswell, Sage, 2007, chapter 1 & 2. |
| 4 | Qualitative Approaches: Elements and features of qualitative research | Fundamentals of Qualitative Research, Johnny Saldana, Oxford University Press, chapter 1; Research Methods for Political Science: Quantitative and Qualitative Methods, David E McNabb, Routledge, 2015, chapter 16. |
| 5 | Collecting Qualitative Data: Qualitative data collection methods, Sources of qualitative data | Fundamentals of Qualitative Research, Johnny Saldana, Oxford University Press, chapter 2; Qualitative Research Methods for the Social Sciences, Howard Lune & Bruce L. Berg, 2017, Pearson, chapter 4 & 5 |
| 6 | Analyzing Qualitative Data: Discussion of qualitative data analytic methods | Fundamentals of Qualitative Research, Johnny Saldana, Oxford University Press, chapter 4; Research Methods for Political Science: Quantitative and Qualitative Methods, David E McNabb, Routledge, 2015, chapter 16 |
| 7 | Introduction to Quantitative Research Methods: Asking and answering quantitative research questions,Characteristics, types, limitations and ingredients of quantitative research, Exercise 1 | OpenIntro Statistics / David Diez, Christopher barr, Mine Çetinkaya-Rundel, 3rd ed., Chapter 1, Statistics for business and economics / Paul Newbold, William L. Carlson, Betty M. Thorne.—8th ed., 2013, Chapters 2&3 Introduction to New statistics / Geoff Cumming, Robert Calin-Jageman. 1st ed, 2017, Chapters 1-2. |
| 8 | Picturing and describing data: Shape, center, spread, unusual observations, Normal distribution and using the z-score, Exercise 2 | OpenIntro Statistics / David Diez, Christopher barr, Mine Çetinkaya-Rundel, 3rd ed., Chapters 2&3, Statistics for business and economics / Paul Newbold, William L. Carlson, Betty M. Thorne.—8th ed. 2013, Chapter 6 Introduction to New statistics / Geoff Cumming, Robert Calin-Jageman. 1st ed, 2017, Chapter 3. |
| 9 | Foundations for Inference : Confidence Intervals, Hypothesis Testing ,Exercise 3 | OpenIntro Statistics / David Diez, Christopher barr, Mine Çetinkaya-Rundel, 3rd ed., Chapter 4, Statistics for business and economics / Paul Newbold, William L. Carlson, Betty M. Thorne.—8th ed. 2013, Chapter 9&10 Introduction to New statistics / Geoff Cumming, Robert Calin-Jageman. 1st ed, 2017, Chapter 6. |
| 10 | Linear Regression :Line fitting, residuals, and correlation , Fitting a line by Least squares regression , The explanatory power of a linear regression equation, Exercise 4 | OpenIntro Statistics / David Diez, Christopher barr, Mine Çetinkaya-Rundel, 3rd ed., Chapter 6, Statistics for business and economics / Paul Newbold, William L. Carlson, Betty M. Thorne.—8th ed. 2013, Chapter 12 Introduction to New statistics / Geoff Cumming, Robert Calin-Jageman. 1st ed, 2017, Chapters 11-12. |
| 11 | Individual Graduate Programme Research Proposal Preparation: Meet with advisor assigned by the individual graduate programme, How to prepare a research proposal for thesis or term project, | |
| 12 | Independent Study | |
| 13 | Discuss draft of the research proposal with advisor: Drafting is considered as a learning process and assist the graduate students to evade misunderstandings and possible errors. | |
| 14 | Hand in and present the research proposal to advisor and academic staff of the related graduate programme:The proposal should clarify the research question or problem to be examined, and convince the advisor and related graduate programme’s academic staff that the research question or problem merits an examination. | |
| 15 | Review of the semester | |
| 16 | Review of the semester |
| 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 | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | ||
| Portfolio | ||
| Homework / Assignments |
2
|
60
|
| Presentation / Jury | ||
| Project |
1
|
40
|
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm | ||
| Final Exam | ||
| Total |
| Weighting of Semester Activities on the Final Grade |
1
|
20
|
| Weighting of End-of-Semester Activities on the Final Grade |
2
|
80
|
| 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
|
0
|
|
| Study Hours Out of Class |
16
|
4
|
64
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
0
|
||
| Portfolio |
0
|
||
| Homework / Assignments |
0
|
||
| Presentation / Jury |
16
|
0
|
|
| Project |
1
|
81
|
81
|
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
0
|
||
| Final Exam |
0
|
||
| Total |
193
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
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#
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Program Competencies/Outcomes |
* Contribution Level
|
||||
|
1
|
2
|
3
|
4
|
5
|
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| 1 | Being able to contribute to the institution the participant works for and the logistics sector by the use of the knowledge and abilities gained during the education period; and manage change in the institution and the sector |
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| 2 | Reaching a competency about contemporary business and technology applications in the area of logistics and supply chain management and analysis and strategy development methods |
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| 3 | Being able to create opportunities by combining supply chain management with information technologies and innovative processes by the use of the interdisciplinary courses the participants take |
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| 4 | Having the ability to develop creative solutions by working on global logistics and supply chain subjects and realizing these by the use of their project management knowledge |
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| 5 | Having the knowledge, abilities and capabilities required for effective logistics and supply chain management by the use of a problem and case analysis based learning |
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| 6 | Being able to examine logistics and supply chain processes with the management science viewpoint, analyze related concepts and ideas by scientific methods |
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| 7 | If continuing to work in the academia, having the necessary information on logistics applications; if continuing to work in the sector, having the necessary knowledge on conceptual subjects |
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| 8 | Being able to specify appropriate research questions about his/her research area, conduct an effective research with the use of necessary methods and apply the research outcomes in the sector or the academia |
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| 9 | Being able to follow the changes and developments in the sector the participant works in, in order to keep his/her personal and professional competence updated and develop himself/herself when necessary |
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| 10 | Be experts in the fields of logistics and supply chain with the help of the sector-focused education they receive |
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| 11 | Have the necessary capabilities to pursue doctoral studies in national and foreign institutions. |
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*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest