| Course Title | Code | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|
| Digital Product Management | YBS315 | 6. Semester | 3 + 0 | 3.0 | 6.0 |
| Prerequisites | None |
| Language of Instruction | Turkish |
| Course Level | Undergraduate |
| Course Type | |
| Mode of delivery | |
| Course Coordinator |
Res. Assist. Dr. MUSTAFA POLAT |
| Instructors |
MUSTAFA POLAT |
| Assistants | |
| Goals | |
| Course Content | |
| Learning Outcomes |
- Will be able to define the basic concepts and processes of digital product management. - Will be able to create a product strategy by identifying customer needs in the digital product development process. - Will be able to use key metrics and analysis tools to measure product performance. - Will be able to analyze user needs by conducting market research. - Will be able to perform product optimization by applying data-driven decision making processes. - Will be able to follow innovation and trends in digital product management. |
| Week | Topics | Learning Methods |
|---|---|---|
| 1. Week | Introduction to Digital Product Management | Course Hours |
| 2. Week | Product Strategy and Vision | Course Hours |
| 3. Week | Kullanıcı Araştırmaları ve Pazar Analizi | Research Course Hours |
| 4. Week | Product Development Processes | Course Hours |
| 5. Week | Minimum Viable Product (MVP) | Course Hours |
| 6. Week | User Experience (UX) and Interface Design | Research Course Hours |
| 7. Week | Digital Product Marketing | Course Hours |
| 8. Week | Product Launch and Growth Strategies | Course Hours |
| 9. Week | Product Performance Measurement and Data Analytics | Practice Course Hours |
| 10. Week | Monetization Strategies and Revenue Models | Course Hours |
| 11. Week | Decision Making Processes in Product Management | Course Hours |
| 12. Week | Artificial Intelligence and Automation in Digital Products | Practice Course Hours |
| 13. Week | Trends and Future Perspective in Digital Product Management | Course Hours |
| 14. Week | General Evaluation and Project Presentations | Research Practice Course Hours |
| Program Requirements | Contribution Level | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 | Measurement Method |
|---|---|---|---|---|---|---|---|---|
| PY1 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | - |
| PY2 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | - |
| PY3 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | - |
| PY4 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | - |
| PY5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | - |
| PY6 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | - |
| PY7 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | - |
| PY8 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | - |
| PY9 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | - |
| PY10 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | - |
| PY11 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | - |
| PY12 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | - |
| PY13 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | - |
| PY14 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | - |
| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| Course's Level of contribution | None | Very Low | Low | Fair | High | Very High |
| Method of assessment/evaluation | Written exam | Oral Exams | Assignment/Project | Laboratory work | Presentation/Seminar |
| Event | Quantity | Duration (Hour) | Total Workload (Hour) |
|---|---|---|---|
| Course Hours | 14 | 3 | 42 |
| Research | 14 | 3 | 42 |
| Practice | 1 | 10 | 10 |
| 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 | ||
| ECTS Credit of the Course | 6.0 | ||
