Concurrent and Distributed Programming

Dublin City University

Course Description

  • Course Name

    Concurrent and Distributed Programming

  • Host University

    Dublin City University

  • Location

    Dublin, Ireland

  • Area of Study

    Computer Programming, Computer Science

  • Language Level

    Taught In English

  • Course Level Recommendations


    ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

    Hours & Credits

  • ECTS Credits

  • Recommended U.S. Semester Credits
  • Recommended U.S. Quarter Units
  • Overview

    This module aims to introduce the student to issues involved in concurrent and distributed computing, and particularly to the paradigms used in concurrent and distributed computing to address these issues. To facilitate learning on part of the student, algorithms are presented in the form of solutions to everyday problems (e.g. modelling a queue in a bakery shop). 

    Learning Outcomes
    1. Distinguish between two forms of Parallel Computing: Concurrent & Distributed; The fundamental concepts underlying concurrent & distributed computing.
    2. Explain the meaning of concurrent programming and where it fits in with single-threaded programming paradigms (Concurrency & Parallelism, Multithreading, Multicore…)
    3. Describe common architectures for concurrent and distributed programs.
    4. Understand when concurrent programming can be used to solve common problems in computer science (Dining Philosophers, Producers/Consumers etc)
    5. Explain communication in Concurrent and Distributed Programs (Synchronous/Asynchronous…)
    6. Evaluate the impact of various synchronization models for safe concurrent (semaphores/monitors) and distributed programs including issues related to replication & consistency.
    7. Explain support for advanced concurrency in a modern general purpose programming language.
    8. Write, analyse and debug multi-threaded and distributed programs involving multiple agents.
    9. Explain the operation of communication libraries (such as OPENMP) for message passing.
    10. Apply technologies supporting distributed applications such as distributed object-based and coordination-based technology (RMI/RPC and Web Services using SOAP/REST).