| Title | Time | Room | Teacher |
|---|---|---|---|
| Software Engineering: Modern principles, proven patterns and practical strategies for sustainable software quality and scalable architectures (CS+CE) | 17.11.2025 09:00 - 16:00 (Mon) | online | Gunnar Bless |
| Software Engineering: Modern principles, proven patterns and practical strategies for sustainable software quality and scalable architectures (CS+CE) | 18.11.2025 09:00 - 16:00 (Tue) | online | Gunnar Bless |
The course teaches the central principles, patterns and methods for sustainable, scalable and high-quality software design and architecture in order to design, evaluate and continuously improve future-proof, high-performance and maintainable software systems
Software Design & Architecture
• Software Design Principles
o SOLID principles and design patterns
o Clean code practices and refactoring
o Code smells and technical debt management
o Design by contract and defensive programming
o Separation of concerns and modularity
• Software Architecture Patterns
o Layered and hexagonal architecture o Microservices vs monolithic design
o Event-driven and message-oriented architecture o Domain-driven design (DDD) principles
o CQRS and event sourcing patterns
• System Design & Scalability
o Scalability patterns and load balancing
o Caching strategies and data partitioning
o Database design and normalization
o CAP theorem and distributed systems
o Performance optimization techniques
• API Design & Integration
o RESTful API design principles
o GraphQL and API versioning strategies
o Service contracts and API documentation
o Integration patterns and middleware
o Error handling and resilience patterns
Development Practices & Quality Assurance
• Testing Strategies
o Test-driven development (TDD) and BDD
o Unit, integration, and end-to-end testing
o Test automation and continuous testing
o Mock objects and test doubles
• Code Quality & Review
o Static analysis and code metrics
o Peer review processes and tools
o Coding standards and style guides
o Documentation and knowledge sharing
• Version Control & Collaboration
o Git workflows and branching strategies
o Code collaboration and conflict resolution
o Release management and semantic versioning
o Open source contribution practices
• Performance & Optimization
o Profiling and performance monitoring
o Memory management and optimization
o Database query optimization
o Caching and content delivery networks
o Scalability testing and capacity planning
Practical work on the PC/ discussion of questions and tasks/ lecture
Beginning of/ Halfway through the doctorate
Programming experience with e.g. Python, C++ or Matlab. You will work with Python during the course
This course is intended as a subject-specific course only for doctoral candidates of CS&CE. Other doctoral candidates of the CIT can later enter it as a transferable skills course
Laptop/PC with web access, participants will receive information on the required software before the seminar
None necessary
Before the seminar, we conduct a short survey among the participants to clarify prior knowledge and expectations.
You need to take part in at least 80% of the course to have it approved for your qualification program.
Gunnar Bless, graduate physicist, has extensive experience as a trainer. For almost two decades, he has conducted exciting and captivating training courses in the fields of software engineering, data science and programming. He is a speaker at various professional conferences and is also active as a technical book author.