Concurrent and Distributed Programming

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MSc in Computer Science, Schedule C MMath and Computer Science MComputer Science

16 lectures, plus extra reading and extra practicals HT Mr BA Sufrin Assessed by take-home mini-project

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Concurrent and Distributed Programming illustrates many of the key challenges that arise during the design and implementation of concurrent and distributed programs.

It is designed as a practical complement to Concurrency. Although the latter is not a formal prerequisite for it, attendees at either course will benefit from attendance at the other.

Learning Outcomes

At the end of the course students are expected to understand:

• The conceptual foundations of concurrent programming, and
• A variety of effective ways of structuring concurrent and distributed programs.

Prerequisites

It would be advantageous to have studied Networks and Operating Systems, but we don't offer this to our M.Sc. students. Autonomous study of chapter 1 and section 2.1 of Tanenbaum and van Steen (see Reading List) will probably suffice.

The practicals require a good working knowledge of OOP in Java. The Object-Oriented Programming courses have historically provided this, and OOP-1 should be considered a formal prerequisite for those who do not already have extensive OOP experience.2

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