• After successfully completing the module, the student should be able to:
  • Understanding of Distributed Systems Concepts: grasp of fundamental concepts including distribution, concurrency, and scalability; ability to analyze and discuss the evolution and historical perspective of distributed systems
  • Architectural Models: Proficiency in understanding and comparing client-server, peer-to-peer, and hybrid architectures; capability to identify suitable architectural models based on specific use cases.
  • Communication in Distributed Systems: Competence in implementing and utilizing communication mechanisms like RPC and Message-Oriented Middleware
  • Distributed Data Management: Skill in managing data replication and ensuring consistency in distributed systems; understanding and application of distributed databases.
  • Fault Tolerance and Recovery: knowledge of principles related to fault tolerance and recovery in distributed environments; proficiency in implementing distributed transactions and understanding their protocols
  • Security and Privacy in Distributed Systems: ability to identify and address threats and vulnerabilities in distributed systems; competence in implementing security measures, authentication, authorization, and privacy-preserving techniques
  • Cloud Computing and Microservices: Understanding of cloud service models (e.g. IaaS, PaaS, SaaS) and deployment models; proficiency in the principles and challenges of microservices architecture.

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