Theme: Cloud Computing & Data Infrastructures
Advanced computer science topics
(3ECTS - 24h)
Description:
This course offers a modular and flexible approach to explore advanced topics in the fields of cloud computing and modern data infrastructures. Students build their own learning path by selecting from a curated list of specialized topics, each covering emerging technologies, theoretical models, and practical tools shaping the future of distributed systems and data-driven applications.
The course is structured around interactive labs and oral presentations, fostering both technical depth and critical thinking. Students are encouraged to investigate cutting-edge research, engage with hands-on labs, and reflect on the socio-technical aspects of the cloud and data ecosystems.
Topics may include (but are not limited to):
- Advanced Parallel and Distributed Systems
- Access Control Models and Authorization Frameworks
- Contract-based Security
- Sustainable Computing and Green IT Practices
- Low-code and No-code Approaches and Platforms
Evaluation:
- Session 1 (Lab work): 100%
- Session 2 (Oral presentation): 100%
Students are expected to select and complete a combination of topics totaling 24 hours of instruction. The evaluation is based on hands-on lab work and oral presentations demonstrating their understanding and critical analysis of the chosen topics.