Scalable Distributed Computing 2025/26

Instructor: Patrizio Dazzi 
a.y.: 2025/26
Telegram channel: @scalable_distributed_computing
Institutional pages: CV ARTIFICIAL INTELLIGENCE, CV ICT SOLUTIONS ARCHITECT, CV SOFTWARE: PROGRAMMING, PRINCIPLES, AND TECHNOLOGIES, CV BIGDATA TECHNOLOGIES
Microsoft Teams code: not available yet
Where & When: not available yet

Learning outcomes in short: the Scalable Distributed Computing course aims to provide students with the necessary knowledge to:

• Develop the ability to design and implement robust, efficient, and scalable distributed applications.
• Understand the key principles, algorithms, and architectures of scalable distributed systems.
• Manage time and state in distributed systems.
• Analyze and solve problems related to distributed coordination and synchronization.
• Design fault tolerance and recovery strategies.
• Evaluate and choose appropriate distributed computing paradigms and tools.