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Year 1 · Fall 12 AKTS
Year 1 · Spring 8 AKTS
Year 2 · Fall 30 AKTS
Year 3 · Fall 30 AKTS
Year 3 · Spring 30 AKTS
Year 4 · Fall 30 AKTS
Year 4 · Spring 30 AKTS
ISD 891

Doktora Tezi-I

30.00 AKTS 0.00 Credits Turkish

Instructor: Prof. Dr. İbrahim Sani MERT

Course Objectives

The aim of this course is to enable doctoral students to identify research topics for their dissertations, conduct comprehensive literature reviews, and develop scientific research designs. The course is designed to enhance students’ ability to formulate original research questions, construct theoretical frameworks, and develop appropriate methodological approaches.In addition, the course aims to improve students’ academic writing skills and support them in preparing a research proposal that will form the foundation of their doctoral dissertation in accordance with academic standards.

Prerequisites / Corequisites

This course is designed for students enrolled in a doctoral program. Students are expected to have a foundational understanding of research methods and statistics.

Course Books / Materials / Recommended Resources

Main References:Creswell, J. W. – Research Design: Qualitative, Quantitative, and Mixed Methods ApproachesSaunders, M., Lewis, P., & Thornhill, A. – Research Methods for Business StudentsRecommended Readings:Recent academic journal articles related to the fieldDoctoral dissertations and sample research proposalsResources on academic writing and the publication processThese materials are intended to support students in understanding scientific research processes and developing original academic work.

Academic Integrity and Artificial Intelligence

Full compliance with academic integrity principles is required in this course. All submitted work must be original, and all sources must be properly cited.Artificial intelligence tools may be used only for supportive purposes (e.g., literature review, idea generation). The direct use of AI-generated content without proper acknowledgment is considered a violation of academic ethics. Students are expected to clearly disclose the use of AI tools and assume full academic responsibility for all submitted work.

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