ECTS - Software Product Management
Software Product Management (SE456) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Software Product Management | SE456 | Area Elective | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Elective Courses |
| Course Level | Natural & Applied Sciences Master's Degree |
| Mode of Delivery | |
| Learning and Teaching Strategies | . |
| Course Lecturer(s) |
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| Course Objectives | |
| Course Learning Outcomes |
The students who succeeded in this course;
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| Course Content | The Product Manager?s role, market analysis, and business models. Product Discovery and identifying technical assumptions. Technical feasibility and PRDs. Agile, Release, Quality and Technical Debt Management. Team Collaboration. Product Analytics. Go-to-Market and Product-Led Growth. AI integration with MLOps principles. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Product Manager’s role and responsibilities. | Reading lecture hand-outs |
| 2 | Market and Technical Business Model Analysis | Reading lecture hand-outs |
| 3 | Product Vision and Strategy | Reading lecture hand-outs |
| 4 | Goal Setting and Metrics | Reading lecture hand-outs |
| 5 | Product Discovery and Requirement Gathering | Reading lecture hand-outs |
| 6 | Opportunity Assessment, Prioritization, and Technical Feasibility | Reading lecture hand-outs |
| 7 | Project Presentations | Reading lecture hand-outs |
| 8 | Agile and Technical Debt Management | Reading lecture hand-outs |
| 9 | PRD and Definition of Done (DoD) Principles | Reading lecture hand-outs |
| 10 | UX/UI, System Architecture, and Engineering Collaboration: The impact of system architecture, such as Microservices and APIs, on product decisions. Communication and alignment with Engineering and Design teams. | Reading lecture hand-outs |
| 11 | Product Analytics: Funnel and Cohort analysis. Logging and Data Collection Infrastructure Strategies. Technical interpretation of metrics and A/B test results | Reading lecture hand-outs |
| 12 | Go-to-Market (GTM), Release, and Quality Management: Launch and Release Plans, introduction to DevOps and similar up-to-date processes. ProdM management of QA (Quality Assurance) processes. Product-Led Growth (PLG) | Reading lecture hand-outs |
| 13 | Artificial Intelligence (AI) Integration (Week 1): The use of AI/ML Features in Software Products. Viewing AI as a product feature (e.g., recommendation, automation). Requirement Management and Data Infrastructure Strategy | Reading lecture hand-outs |
| 14 | Artificial Intelligence (AI) Integration (Week 2): AI/ML Management Challenges and MLOps. Integration of AI features into the technical architecture and MLOps (DevOps for ML) principles. Data bias and ethical challenges. Project Presentations | Reading lecture hand-outs |
| 15 | Final Examination | Preparation for the final examination. |
| 16 | Final Exam | Preparation |
Sources
| Other Sources | 1. The Product Book: How to Become a Great Product Manager, Product School, Carlos González de Villaumbrosia & Josh Anon, 1st Edition, Product School, 2017. |
|---|---|
| 2. PDMA Essentials: New Product Development, Global Product Development and Management Association (PDMA), 3rd Edition, Wiley, 2017. | |
| 3. Inspired: How to Create Tech Products Customers Love, Marty Cagan, 2nd Edition, Wiley, 2018. | |
| 4. The Lean Product Playbook: How to Innovate with Minimum Viable Products and Rapid Customer Feedback, Dan Olsen, 1st Edition, Wiley, 2015. | |
| 5. Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications, Chip Huyen, 1st Edition, O'Reilly Media, 2022. |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | - | - |
| Presentation | 1 | 10 |
| Project | 2 | 12 |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 1 | 20 |
| Final Exam/Final Jury | 1 | 40 |
| Toplam | 5 | 82 |
| Percentage of Semester Work | 60 |
|---|---|
| Percentage of Final Work | 40 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Gains the ability to apply advanced computing and/or information knowledge in solving software engineering problems. | |||||
| 2 | Develops solutions using different technologies, software architectures and life-cycle approaches. | |||||
| 3 | Gains the ability to design, implement, and evaluate a software system, component, process, or program using modern techniques and engineering tools for software engineering practices. | |||||
| 4 | Gains ability to gather/acquire, analyze, interpret data and make decisions to understand software requirements. | |||||
| 5 | Gains skills of effective oral and written communication and critical thinking about a wide range of issues arising in the context of working constructively on software projects. | |||||
| 6 | Gains the ability to access information to follow current developments in science and technology, conducts scientific research in the field of software engineering, and conducts a project. | |||||
| 7 | Acquires an understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering. | |||||
| 8 | Acquires project and risk management skills and gains awareness of the importance of entrepreneurship, innovation, and sustainable development, as well as international standards and methodologies. | |||||
| 9 | Understands the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions. | |||||
| 10 | Gains awareness of the development, adoption, and ongoing support for the use of excellence standards in software engineering practices. | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 12 | 2 | 24 |
| Presentation/Seminar Prepration | 1 | 4 | 4 |
| Project | 2 | 12 | 24 |
| Report | |||
| Homework Assignments | |||
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 1 | 5 | 5 |
| Prepration of Final Exams/Final Jury | 1 | 15 | 15 |
| Total Workload | 120 | ||