Course Details in

Module Title	Distributed and Parallel Computing (Extended)
School	Computer Science
Department	Computer Science
Module Code	06 26944
Module Lead	Dan Ghica
Level	Masters Level
Credits	10
Semester	Semester 2
Pre-requisites
Co-requisites
Restrictions	Prohibited module combinations: LH Distributed and Parallel Computing
Exclusions
Description	The aims of the module are: Introduce the key concepts at the basis of the design of distributed algorithms and systems; Review the state-of-the-art in distributed systems and analyse the current trends in research and industry; Provide a sound introduction to parallel and distributed programming paradigms.
Learning Outcomes	By the end of the module students should be able to: Describe and justify the main types of architectures and mechanisms of communication in distributed and parallel systems. Describe the fundamental issues in the design of distributed algorithms, protocols and systems, such as timing, coordination and consensus. Employ the underlying concepts and engineering issues involved in the real-world implementation of distributed and parallel systems, such as replication, fault-tolerance, reliability and scalability in solving practical problems. Demonstrate understanding of the theoretical concepts and abstractions discussed in the module to the design of novel and innovative distributed and parallel systems. Demonstrate practical grasp of programming models or languages used to develop parallel and distributed applications by writing working programs. Give an in-depth explanation of a current research topic in Distributed and Parallel Computing.
Assessment	26944-01 : Examination : Exam (Centrally Timetabled) - Written Unseen (80%) 26944-02 : Continuous Assessment : Coursework (20%)
Assessment Methods & Exceptions	1.5 hr Examination (80%); Continuous Assessment (20%) Reassessment: 1.5 hr Examination (100%)
Other	None
Reading List