Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Master Of Science Thesis II YBS507 Turkish Compulsory 0 + 1 0.0 20.0
Prerequisite Courses
Course Level Graduate
Mode of delivery The course is conducted through individual study under advisor supervision and regular advisory meetings. Students present progress reports and receive feedback. The process is supported by thesis writing and defense preparation.
Course Coordinator Prof. Dr. İzzet KILINÇ, Prof. Dr. Hakan Murat ARSLAN, Doç. Dr. Gülçin ERSÖZ DEMİR, Dr. Öğr. Üyesi Ali AKAYTAY, Dr. Öğr. Üyesi Mustafa YANARTAŞ, Doç. Dr. REMZİ BAŞAR, Doç. Dr. Fatih KAYAALP
Instructor(s)
Goals The aim of this course is to enable students to systematically progress and complete their master's thesis. It focuses on developing skills in data collection, analysis, and interpretation of findings. Additionally, students are expected to finalize their thesis in accordance with academic writing standards.
Course Content The course includes data collection processes, data analysis techniques, and reporting of findings. Students complete the thesis writing process by developing results and discussion sections. Preparation for the thesis defense is also covered.
Learning Outcomes
# Öğrenme Kazanımı
1 The student collects and organizes data using appropriate research methods.
2 The student analyzes the collected data using appropriate analytical techniques.
3 The student interprets and discusses research findings within a scientific framework.
4 The student completes the thesis in a coherent manner in accordance with academic writing standards.
5 The student effectively presents and defends the thesis both orally and in written form.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Planning the thesis process and creating a study schedule Preparation, After Class Study, Research, Other Activities, Interview
2. Week Planning the thesis process and creating a study schedule Preparation, After Class Study, Research, Other Activities, Interview
3. Week Initiating the data collection process Preparation, After Class Study, Research, Other Activities, Interview
4. Week Conducting the data collection process Preparation, After Class Study, Research, Other Activities, Interview
5. Week Data organization and preliminary analysis Preparation, After Class Study, Research, Other Activities, Interview
6. Week ata analysis methods Preparation, After Class Study, Research, Other Activities, Interview
7. Week Obtaining and interpreting findings Preparation, After Class Study, Research, Other Activities, Interview
8. Week progress presentations Preparation, After Class Study, Research, Other Activities, Interview
9. Week Writing the discussion section Preparation, After Class Study, Research, Other Activities, Interview
10. Week Writing the conclusion and recommendations Preparation, After Class Study, Research, Other Activities, Interview
11. Week Overall review of the thesis Preparation, After Class Study, Research, Other Activities, Interview
12. Week Formatting and reference check Preparation, After Class Study, Research, Other Activities, Interview
13. Week Preparation for thesis defense and presentation techniques Preparation, After Class Study, Research, Other Activities, Interview
*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
5 To be able to put forward rational and innovative ideas and applications on issues involving and related to management information systems, and to be able to redesign systems and processes.
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.
9 To be able to manage human resources working in areas related to management information systems, career planning and performance evaluation.
10 They can continue their work both independently and as a member or leader of a multidisciplinary team.
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
PY1 4 4 4 4 4
PY2 4 4 4 4 4
PY3 4 4 4 4 4
PY4 5 5 5 5 5
PY5 4 4 4 4 4
PY6 4 4 4 4 4
PY7 4 4 4 4 4
PY8 4 4 4 4 4
PY9 4 4 4 4 4
PY10 4 4 4 4 4
PY11 5 5 5 5 5
PY12 5 5 5 5 5
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • Qualitative Research Methods in Social Sciences (Book)
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders Dışı
Preparation, After Class Study 14 5 70
Research 14 5 70
Presentation (Preparation) 1 3 3
Practice 14 5 70
Sınavlar
Homework 1 147 147
Final 1 150 150
Total Workload 510
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 20.0