.. _teaching:

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Teaching Activities
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Agile Programming Methodologies
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**Role:** Main Instructor

**Course Focus:** Software Design, SCRUM methodologies

**Academic Years:**

* **2025/2026** - 48 hours of teaching
* **2024/2025** - 48 hours of teaching
* **2023/2024** - 48 hours of teaching
* **2022/2023** - 48 hours of teaching
* **2021/2022** - 36 hours of teaching

Course Description
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This course provides comprehensive instruction in agile programming methodologies with a particular focus on:

**Software Design Principles:**

- Object-oriented design patterns
- SOLID principles
- Clean code practices
- Architecture patterns

**SCRUM Methodology:**

- SCRUM framework and roles
- Sprint planning and execution
- Product backlog management
- User story development and estimation

**Learning Outcomes:**
Students completing this course will be able to:

- Apply agile principles in software development projects
- Implement SCRUM methodology in team environments
- Design software using established patterns and principles
- Collaborate effectively in agile development teams
- Manage project timelines and deliverables using agile tools

Software Quality Engineering
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**Role:** Subject-Matter Expert

**Topics:** Model-Driven Engineering and Performance Modeling laboratories

**Academic Years:** 2019-2023

**Responsibilities:**

- Design and development of laboratory exercises
- Student guidance in performance modeling techniques
- Curriculum development for model-driven engineering approaches
- Assessment and evaluation of student projects

**Key Areas Covered:**

- UML modeling for performance analysis
- Performance modeling using Queueing Networks (QNs)
- Tool usage for performance evaluation (MARTE profiles)

Advanced Verification and Validation
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**Role:** Subject-Matter Expert

**Topics:** Advanced testing methodologies and validation techniques

**Academic Years:** 2019-2023

**Responsibilities:**

- Laboratory supervision for validation techniques
- Student mentoring in verification methodologies

**Key Areas Covered:**

- Model-based testing approaches
- Co-simulation validation techniques
- Performance and reliability validation
- Performance testing in CI/CD pipelines

.. toctree::
   :maxdepth: 1
   :caption: Student Supervision:

   student_supervision