Rapor Tarihi: 20.12.2025 01:46
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Digital Product Management | YBS315 | Turkish | Compulsory | 6. Semester | 3 + 0 | 3.0 | 6.0 |
| Prerequisite Courses | |
| Course Level | Undergraduate |
| Mode of delivery | |
| Course Coordinator | Ar. Gör. Dr. MUSTAFA POLAT |
| Instructor(s) | |
| Goals | |
| Course Content |
| # | Öğrenme Kazanımı |
| 1 | Will be able to define the basic concepts and processes of digital product management. |
| 2 | Will be able to create a product strategy by identifying customer needs in the digital product development process. |
| 3 | Will be able to use key metrics and analysis tools to measure product performance. |
| 4 | Will be able to analyze user needs by conducting market research. |
| 5 | Will be able to perform product optimization by applying data-driven decision making processes. |
| 6 | Will be able to follow innovation and trends in digital product management. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Introduction to Digital Product Management | |
| 2. Week | Product Strategy and Vision | |
| 3. Week | Kullanıcı Araştırmaları ve Pazar Analizi | Research |
| 4. Week | Product Development Processes | |
| 5. Week | Minimum Viable Product (MVP) | |
| 6. Week | User Experience (UX) and Interface Design | Research |
| 7. Week | Digital Product Marketing | |
| 8. Week | Product Launch and Growth Strategies | |
| 9. Week | Product Performance Measurement and Data Analytics | Practice |
| 10. Week | Monetization Strategies and Revenue Models | |
| 11. Week | Decision Making Processes in Product Management | |
| 12. Week | Artificial Intelligence and Automation in Digital Products | Practice |
| 13. Week | Trends and Future Perspective in Digital Product Management | |
| 14. Week | General Evaluation and Project Presentations | Research, Practice |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Graduates will have a holistic perspective on business functions | ✔ | |||||
| 2 | Graduates will have conceptual knowledge in the field of informatics in the sector average. | ✔ | |||||
| 3 | Graduates may integrate the business functions and IT infrastructure | ✔ | |||||
| 4 | Graduates will have awareness and knowledge about the processes of analyzing, designing, developing, and using information systems. | ✔ | |||||
| 5 | Students will have the ability to define the problem, collect data, analyze, interpret, evaluate, and develop a solution proposal for the solution of problems encountered in business. | ✔ | |||||
| 6 | Graduates may develop new strategic approaches for the efficiency of applications used in businesses. | ✔ | |||||
| 7 | Graduates may understand the logic of the algorithm and convert the designed algorithm into an up-to-date programming language. | ✔ | |||||
| 8 | Gradutes may have basic knowledge and understanding in the field of data science. | ✔ | |||||
| 9 | Graduates may have basic knowledge and understanding in the field of data science. | ✔ | |||||
| 10 | Graduates may base their vision on continuous learning and renewal. | ✔ | |||||
| 11 | Graduates may have an awareness of ethical and professional responsibility in business life. | ✔ | |||||
| 12 | Graduates may have an awareness of the individual and social effects of informatics applications and their legal consequences. gets the awareness of social responsibility. | ✔ | |||||
| 13 | Graduates may be able to use at least one foreign language in written and oral communication in the fields of information systems and business administration. | ✔ | |||||
| 14 | Graduates may take responsibility as an individual or team member in solving problems encountered in business life. | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 |
|---|---|---|---|---|---|---|
| PY1 | 5 | 5 | 5 | 5 | 5 | 5 |
| PY2 | 5 | 5 | 5 | 5 | 5 | 5 |
| PY3 | 5 | 5 | 5 | 5 | 5 | 5 |
| PY4 | 5 | 5 | 5 | 5 | 5 | 5 |
| PY5 | 5 | 5 | 5 | 5 | 5 | 5 |
| PY6 | 5 | 5 | 5 | 5 | 5 | 5 |
| PY7 | 2 | 2 | 2 | 2 | 2 | 2 |
| PY8 | 3 | 3 | 3 | 3 | 3 | 3 |
| PY9 | 5 | 5 | 5 | 5 | 5 | 5 |
| PY10 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY11 | 2 | 2 | 2 | 2 | 2 | 2 |
| PY12 | 1 | 1 | 1 | 1 | 1 | 1 |
| PY13 | 2 | 2 | 2 | 2 | 2 | 2 |
| PY14 | 5 | 5 | 5 | 5 | 5 | 5 |
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 14 | 3 | 42 |
|
Ders Dışı |
Research | 14 | 3 | 42 |
| Practice | 1 | 10 | 10 | |
|
Sınavlar |
Midterm 1 | 1 | 1 | 1 |
| Final | 1 | 1 | 1 | |
| Practice | 1 | 18 | 18 | |
| Practice End-Of-Term | 1 | 20 | 20 | |
| Classroom Activities | 1 | 20 | 20 | |
| Total Workload | 154 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 6.0 | ||
