Distributed Computing for e-Science 2 (P01346)

? Credit Points : 10 ? SCQF Level : 11 ? Acronym : PHY-P-DCE2

This course provides a practical introduction to technologies currently used in e-Science. It complements the coverage of underlying principles in Distributed Computing for e-Science 1, by giving students hands-on experience of the installation and use of a range of the software packages currently used for performing distributed computational tasks in e-Science. The course will also illustrate the relationship between the functional capabilities of particular software packages and the passage of specifications through the standards bodies representing the grid and web services communities. The course delivery will centre on sessions combining instruction and hands-on exercises. The software used will be principally drawn from a suite of open source packages widely employed within e-Science, but mention will be made of commercial alternatives found in the business world. The course will cover the installation and configuration of common software packages, as well as their use, to prepare students for software development and deployment in their projects.

Entry Requirements

? This course is not available to visting students.

? Pre-requisites : Only postgraduates or final year MPhys students with suitable computational background, subject to space restrictions and agreement with relevant Programme Coordinator.

Subject Areas

Home subject area

Postgraduate (School of Physics), (School of Physics, Schedule Q)

Delivery Information

? Normal year taken : Postgraduate

? Delivery Period : Semester 2 (Blocks 3-4)

? Contact Teaching Time : 2 hour(s) per week for 10 weeks

First Class Information

Date	Start	End	Room	Area	Additional Information
12/01/2006	11:10	12:00			E-science room, Level 7, JCMB

All of the following classes

Type	Day	Start	End	Area
Lecture	Thursday	12:10	13:00	KB
Lecture	Thursday	13:10	13:50	KB

Summary of Intended Learning Outcomes

Summary of Intended Learning Outcomes
On completion of this course, students should be able to:
1. Install and configure a number of software packages commonly used in e-Science.
2. Develop and deploy web services and clients.
3. Define computational jobs and successfully deploy them to remote and distributed compute resources.
4. Demonstrate an understanding of the relationship between the current web services stack and a knowledge of their reference implementations.