Yönetim Bilişim Sistemleri (YL) (Tezli) (İngilizce)
Ders İçerikleri
1. Semester
| Course Code | Course Name | (T+A+L) | ECTS | Compulsory/Elective |
| IGE5500 | Scientific Research Methods and Ethics | 3+0+ | 9 | Compulsory |
| 1. Introduction to Research Methods - Overview of scientific research and its importance - Types of research: qualitative, quantitative, and mixed methods 2. Critical Literature Review - Techniques for conducting systematic and critical reviews - Identifying research gaps and formulating research questions 3. Research Philosophy and Paradigms - Understanding positivism, interpretivism, and other paradigms - Aligning research design with philosophical foundations 4. Research Design and Methodology - Developing coherent research frameworks - Selecting appropriate methodologies for research objectives 5. Ethics in Research - Ethical considerations in research design and execution - Gaining access to data and maintaining confidentiality 6. Data Collection Techniques - Sampling strategies: probability and non-probability - Primary data collection: interviews, questionnaires, and diaries - Secondary data evaluation and analysis 7. Data Analysis Methods - Quantitative analysis: statistical tools and techniques - Qualitative analysis: thematic, narrative, and content analysis 8. Writing and Presenting Research - Structuring academic and consultancy reports - Effective presentation techniques for research findings 9. Practical Applications and Case Studies - Hands-on exercises in designing and conducting research - Real-world examples of ethical dilemmas and solutions 10. Final Project - Development of a mini research proposal - Peer presentations and constructive feedback sessions | ||||
| Course Code | Course Name | (T+A+L) | ECTS | Compulsory/Elective |
| MIS5101 | Management Information Systems | 2+1+0 | 9 | Compulsory |
| 1. Overview of Information Systems in Organizations & their strategic importance 2. System and Design Thinking as approaches to problem-solving 3. Data Management and Database Design 4. Enterprise Resource Planning (ERP) Systems and Integration 5. Emerging Technologies and Trends: Big Data, Cloud Computing, and IoT | ||||
2. Semester
| Course Code | Course Name | (T+A+L) | ECTS | Compulsory/Elective |
| MIS5102 | System Analysis and Design | 2+1+0 | 9 | Compulsory |
| - Introduction to systems analysis and design methodologies - Requirements gathering techniques and documentation - Modeling using Unified Modeling Language (UML) - System design principles and database design - Implementation, testing, deployment, and maintenance strategies | ||||
| Course Code | Course Name | (T+A+L) | ECTS | Compulsory/Elective |
| MIS5104 | Seminar | 0+0+0 | 6 | Compulsory |
| 1. Advanced topics in Management Information Systems including recent research and case studies. 2. Critical analysis and discussion of scholarly articles and professional publications in the field. 3. Presentation and critique of emerging technologies impacting business strategies. 4. Designing and conducting original research in the field of Management Information Systems. 5. Development of communication skills through presentations and written assignments. | ||||
| Course Code | Course Name | (T+A+L) | ECTS | Compulsory/Elective |
| MIS5106 | Data Science and Managing Big Data | 3+0+ | 9 | Compulsory |
3. Semester
| Course Code | Course Name | (T+A+L) | ECTS | Compulsory/Elective |
| MIS5189 | Thesis Study I | 0+0+0 | 30 | Compulsory |
| 1. Examination and application of research methodologies. 2. Literature review techniques and information management. 3. Scientific data analysis, modeling and interpretation. 4. Academic writing techniques and ethical rules. 5. Thesis writing process and presentation techniques. | ||||
4. Semester
| Course Code | Course Name | (T+A+L) | ECTS | Compulsory/Elective |
| MIS5190 | Thesis Study II | 0+0+ | 30 | Compulsory |
Department/Programme Elective Courses
| Course Code | Course Name | (T+A+L) | ECTS |
| MIS5001 | Data Science and Managing Big Data | 3+0+0 | 6 |
| 1. Fundamental concepts of data science and the data analytics lifecycle. 2. Managing, cleaning, and processing big data sets with modern tools. 3. Statistical analysis and predictive modeling techniques for big data. 4. Big data storage, cloud infrastructure, and database technologies. 5. Ethical considerations and data privacy issues in handling big data. | |||
| Course Code | Course Name | (T+A+L) | ECTS |
| MIS5002 | Business Intelligence and Analytics | 3+0+0 | 6 |
| Course Code | Course Name | (T+A+L) | ECTS |
| MIS5003 | Human Resources Analytics | 3+0+0 | 6 |
| Course Code | Course Name | (T+A+L) | ECTS |
| MIS5004 | Technology and Innovation Management | 3+0+0 | 6 |
| Course Code | Course Name | (T+A+L) | ECTS |
| MIS5005 | Digitilization and Sustainability | 3+0+0 | 6 |
| Course Code | Course Name | (T+A+L) | ECTS |
| MIS5006 | Organizational Behaviour | 3+0+0 | 6 |
| Course Code | Course Name | (T+A+L) | ECTS |
| MIS5007 | Managing Digital Communication | 3+0+0 | 6 |
| Course Code | Course Name | (T+A+L) | ECTS |
| MIS5008 | Digital Marketing | 3+0+0 | 6 |
| 1. Digital Marketing Strategy and Consumer Behavior 2. Content Marketing and SEO Optimization 3. Social Media and Influencer Marketing 4. Email Marketing and Personalization Techniques 5. Web Analytics and Digital Campaign Performance Measurement | |||
| Course Code | Course Name | (T+A+L) | ECTS |
| MIS5009 | Complex Problem Solving and Decision Making | 3+0+0 | 6 |
| Course Code | Course Name | (T+A+L) | ECTS |
| MIS5010 | Strategic Management for Information Systems | 3+0+0 | 6 |
| Course Code | Course Name | (T+A+L) | ECTS |
| MIS5011 | Managerial Decision Support | 3+0+0 | 6 |
| Course Code | Course Name | (T+A+L) | ECTS |
| MIS5012 | Organizations and Leaders in Digital Age | 3+0+0 | 6 |
| Course Code | Course Name | (T+A+L) | ECTS |
| MIS5013 | E-Business Management | 3+0+0 | 6 |
| Course Code | Course Name | (T+A+L) | ECTS |
| MIS5014 | Information System Project Management | 3+0+0 | 6 |
| Course Code | Course Name | (T+A+L) | ECTS |
| MIS5015 | Persuasive Technologies | 3+0+0 | 6 |
| - Overview of Persuasive Technologies and their role in behavior change - Principles of persuasion and social psychology applied to technology design - Techniques for developing persuasive content and user experiences - Case studies of successful and unsuccessful persuasive technology implementations - Ethical considerations and the impact of persuasive technologies on society | |||
| Course Code | Course Name | (T+A+L) | ECTS |
| MIS5016 | Secure Data Management | 3+0+0 | 6 |
| Course Code | Course Name | (T+A+L) | ECTS |
| MIS5017 | Human Computer Interaction and Management Information System | 3+0+0 | 6 |