Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Semnar YBS504 Turkish Compulsory 0 + 1 0.0 7.0
Prerequisite Courses
Course Level Graduate
Mode of delivery This course covers the fundamental principles, application steps, and analytical processes of qualitative research design in the field of Management Information Systems in a seminar format. Students learn the qualitative research cycle, from developing the research problem to data collection strategies, analysis techniques, and reporting, through their own project work. The course is conducted through discussions, presentations, text analysis, and field-focused mini-applications.
Course Coordinator Prof. Dr. İzzet KILINÇ, Prof. Dr. Hakan Murat ARSLAN, Doç. Dr. Fatih KAYAALP, Doç. Dr. Gülçin ERSÖZ DEMİR, Dr. Öğr. Üyesi Ali AKAYTAY, Doç. Dr. REMZİ BAŞAR, Dr. Öğr. Üyesi Mustafa YANARTAŞ
Instructor(s) Doç. Dr. Fatih KAYAALP (Bahar), Doç. Dr. Gülçin ERSÖZ DEMİR (Bahar), Doç. Dr. Gülçin ERSÖZ DEMİR (Güz), Doç. Dr. REMZİ BAŞAR (Bahar), Doç. Dr. REMZİ BAŞAR (Güz), Dr. Öğr. Üyesi Ali AKAYTAY (Güz), Dr. Öğr. Üyesi Mustafa YANARTAŞ (Bahar), Dr. Öğr. Üyesi Mustafa YANARTAŞ (Güz), Dr. Öğr. Üyesi Oğuz DEMİREL (Bahar), Dr. Öğr. Üyesi Oğuz DEMİREL (Güz), Dr. Öğr. Üyesi SAİD ALTINIŞIK (Bahar), Dr. Öğr. Üyesi SAİD ALTINIŞIK (Güz), Prof. Dr. Hakan Murat ARSLAN (Bahar), Prof. Dr. Hakan Murat ARSLAN (Güz), Prof. Dr. İzzet KILINÇ (Bahar)
Goals The aim of the course is to enable students to design qualitative research using MIS models, to justify their decisions, and to adopt a systematic and ethical approach to the data collection and analysis process. The goal is to internalize qualitative research not only as a method, but also as a way of thinking and a questioning of specific frameworks.
Course Content The course content outlines: Main product: Qualitative research design developed throughout the semester and final presentation, Process: Weekly text readings, seminar discussions, small applications, reflective daily studies, Focus: Learning by doing and making the research process transparent.
Learning Outcomes
# Öğrenme Kazanımı
1 It can explain the ontological and epistemological foundations of qualitative research.
2 They can formulate a qualitative research problem suitable for the field of Information Systems.
3 Ability to select and justify research designs appropriate to the field of Information Systems Management (MSI).
4 Ability to understand the basic principles of quantitative, qualitative, and mixed methods and to plan appropriate data collection and analysis strategies.
5 The ability to systematically review academic literature and establish a theoretical framework.
6 To be able to evaluate the possibilities and limitations of digital and data-driven research techniques.
7 Ability to produce reports that comply with scientific writing standards.
8 By adhering to research and publication ethics principles, they can identify ethical risks and make informed decisions.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Introduction to Qualitative Research (The nature and aims of qualitative research, its applications in Management Information Systems - How the seminar format works, introduction to the term project) Preparation, After Class Study, Research, Other Activities, Practice
2. Week Scientific Approaches and Qualitative Paradigms (Ontology, epistemology, interpretive and constructivist approaches - Paradigm-method relationship) Preparation, After Class Study, Research, Other Activities, Practice
3. Week How to Develop a Research Problem? (Problem area selection - Defining phenomena in MIS - Workshop: Sharing student project ideas) Preparation, After Class Study, Research, Other Activities, Practice
4. Week Research Questions and Design Types (Case study, phenomenology, grounded theory, ethnography - Design selection and justification) Preparation, After Class Study, Research, Other Activities, Practice
5. Week Literature Review and Conceptual Framework (Thematic literature review, Conceptual networking, Student short presentations) Preparation, After Class Study, Research, Other Activities, Practice
6. Week Sampling Strategies (Purposeful sampling, snowball sampling, maximum diversity - The impact of participant selection on research results) Preparation, After Class Study, Research, Other Activities, Practice
7. Week Data Collection Techniques I: Interview (Semi-structured interview - Question guide preparation - Application: Mini interview exercise) Preparation, After Class Study, Research, Other Activities, Practice
8. Week Data Collection Techniques II: Observation and Document Analysis (Field notes, observation protocols - Analysis of digital traces and corporate documents) Preparation, After Class Study, Research, Other Activities, Practice
9. Week The Researcher's Role and Bias (Power relations, prejudice, positioning - Research journal practice) Preparation, After Class Study, Research, Other Activities, Practice
10. Week Data Management and Ethical Processes (Privacy, consent, data protection - Ethics committee processes) Preparation, After Class Study, Research, Other Activities, Practice
11. Week Data Analysis I: Coding (Introduction to open, axis, and selective coding logic - Software support (NVivo, MAXQDA, etc.)) Preparation, After Class Study, Research, Other Activities, Practice
12. Week Data Analysis II: Theme Development and Interpretation (Establishing relationships between themes - Narrating findings - Discussing student data examples) Preparation, After Class Study, Research, Other Activities, Practice
13. Week Presentation of Findings and Academic Writing (Citing, preserving participant voice - Model, diagram and flow of findings) Preparation, After Class Study, Research, Other Activities, Practice
14. Week Qualitative Research Report / Seminar Work (Draft presentations of the term project - Peer review and feedback) Preparation, After Class Study, Research, Other Activities, Practice
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 To be able to take an active role in the planning, programming and management phases of projects related to management information systems, to design project processes, to measure project performance and to make risk analysis.
2 Has the basic competencies related to analyzing, designing, implementing and operating management information systems. Uses methods and tools for these processes effectively.
3 To have theoretical and practical historical and current knowledge about management information systems.
4 To be able to follow current theoretical and technical developments, academic literature and applications in management information systems and related fields, and evaluate them by analyzing and synthesizing
6 To be able to apply different quantitative and qualitative scientific research methods and conduct and report scientific studies on issues involving management information systems and those working in this field.
7 To be able to identify the main problems related to management information systems, develop solutions, implement these solutions in line with basic management principles and approaches, and evaluate the results by comparing them with the targets.
8 To be able to participate effectively in strategy planning and creation activities in enterprises operating in areas related to management information systems, and to carry out studies that will contribute to university-industry cooperation.
8 To be able to participate effectively in strategy planning and creation activities in enterprises operating in areas related to management information systems, and to carry out studies that will contribute to university-industry cooperation.
10 They can continue their work both independently and as a member or leader of a multidisciplinary team.
11 Cares about the rules of law and ethics in the field and conducts his/her studies within the framework of these rules.
12 To be able to establish the relationships between the field of management information systems and entrepreneurship and gain the minimum entrepreneurial characteristics.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5 DK6 DK7 DK8
PY1 5 5 5 0 0 0 0 0
PY2 5 5 5 0 0 0 0 0
PY3 5 5 5 0 0 0 0 0
PY4 5 5 5 0 0 0 0 0
PY6 5 5 5 0 0 0 0 0
PY7 5 5 5 0 0 0 0 0
PY8 5 5 5 0 0 0 0 0
PY10 5 5 5 0 0 0 0 0
PY11 3 3 3 0 0 0 0 0
PY12 2 2 2 0 0 0 0 0
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Sınavlar
Midterm 1 1 20 20
Midterm 2 1 20 20
Homework 1 14 4 56
Homework 2 14 2 28
Practice 14 3 42
Practice End-Of-Term 1 21.5 21.5
Classroom Activities 14 3 42
Total Workload 229.5
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 7.0