Cookie Control

This site uses cookies to store information on your computer.

Some cookies on this site are essential, and the site won't work as expected without them. These cookies are set when you submit a form, login or interact with the site by doing something that goes beyond clicking on simple links.

By using our site you accept the terms of our Privacy Policy.

(One cookie will be set to store your preference)
(Ticking this sets a cookie to hide this popup if you then hit close. This will not store any personal information)

About this tool

About Cookie Control

You are here

Historical Interest Only

This is a static HTML version of an old Drupal site. The site is no longer maintained and could be deleted at any point. It is only here for historical interest.

UG4 student project

A project suitable for an fourth year undergraduate student, which is done part-time over several months.

Improved data logging, sharing and analysis for the British Geological Survey's School Seismology project

Student: 
Jon Gilbert

The School Seismology project (http://www.bgs.ac.uk/schoolseismology/) enables schools to detect signals from large earthquakes happening anywhere in the world. It is used to teach a range of basic science concepts in over 400 schools around the UK by detecting world earthquakes in the classroom using a simple seismometer system and exchanging Earthquake data with schools around the world.

Project status: 
Finished
Degree level: 
UG4
Background: 
Knowledge of Linux essential. Experience with web service development useful.
Supervisors @ NeSC: 
Other supervisors: 
Paul Denton, British Geological Survey
Subject areas: 
e-Science
Computer Communication/Networking
Software Engineering
WWW Tools and Programming
Student project type: 

Predicting earthquake impact with laptop motion sensors

Student: 
Gary Mcgilvary
Grade: 
first

Principle goal: to make clever use of the sudden motion sensor of Apple notebooks to map the impact of earthquakes in densely populated areas.

Project status: 
Finished
Degree level: 
UG4
Supervisors @ NeSC: 
Other supervisors: 
Rémy Bossu, European-Mediterranean Seismological Centre, France; Fabrice Cotton, Grenoble University, France
Subject areas: 
e-Science
Distributed Systems
Mobile Computation
WWW Tools and Programming
Student project type: 
References: 
[1] http://en.wikipedia.org/wiki/Seismic_wave [2] http://en.wikipedia.org/wiki/Sudden_Motion_Sensor [3] http://www.agu.org/pubs/crossref/2008/2008EO250001.shtml [4] http://www.suitable.com/tools/seismac.html [5] http://www.emsc-csem.org/

Mining and visualising family tree networks from online genealogy information

Principle goal: to construct a data harvesting system with an associated semantic web-enabled store for genealogical data with a method for querying the data which you test using at least one query.

Project status: 
Finished
Degree level: 
UG4
Background: 
Applied Databases; Data Integration and Exchange; Querying and Storing XML; Knowledge Modelling and Management courses are desirable but not critical for this project.
Supervisors @ NeSC: 
Other supervisors: 
Rachel Walcott (School of GeoSciences)
Subject areas: 
e-Science
Databases
WWW Tools and Programming
Student project type: 
References: 
[1] http://www.familysearch.org [2] http://en.wikipedia.org/wiki/GEDCOM [3] http://www.backspace.com/mapapp/

Generating Graphical User Interfaces for Grid Computing Portals

Student: 
Carl Orebäck
Grade: 
first

Carl was awarded both the Agilent Prize and the Class Medal for best performance in the BEng Electronics and Computer Science degree

To investigate the use of graphical user interface languages and their generators and use these in conjunction with the Rapid Development Tool for Job Submission Portlets (RAPID), which is being developed at the National e-Science Centre.

Project status: 
Finished
Degree level: 
UG4
Background: 
You should definitely not be afraid of XML.
Supervisors @ NeSC: 
Subject areas: 
e-Science
Human-Computer Interaction
Other
Software Engineering
Projects: 
Student project type: 
References: 
The RAPID project http://research.nesc.ac.uk/node/61

Association Rules Applied to Microarray Results from a Cystic Fibrosis Study

Student: 
Andrei Lyashko
Grade: 
first

Note: Andrei's thesis was awarded a 91% and received the Best Undergraduate Project award sponsored by Microsoft

To perform data mining in the form of association rules on scientific data from a microarray study on Cystic Fibrosis, with the objective of evaluating and improving the mining algorithm.

Project status: 
Finished
Degree level: 
UG4
Supervisors @ NeSC: 
Rob.Kitchen
Other supervisors: 
Varrie Ogilvie, Molecular Medicine Centre, University of Edinburgh
Subject areas: 
e-Science
Algorithm Design
Bioinformatics
Machine Learning/Neural Networks/Connectionist Computing
Other
Student project type: 
References: 
Non-technical explanation of association rules on Wikipedia http://en.wikipedia.org/wiki/Association_rule_learning Cystic Fibrosis on Wikipedia http://en.wikipedia.org/wiki/Cystic_fibrosis Microarray on Wikipedia http://en.wikipedia.org/wiki/DNA_microarray

GridDrive: Using sshfs to access the Grid

Student: 
Ciaran Hearne
Grade: 
first

To patch sshfs to make it work with Grid certificates, then install it on a Linux machine and mount a directory on a machine that is part of the National Grid Service.

Project status: 
Finished
Degree level: 
UG4
Background: 
You must like hacking Linux kernels and understand the idea behind ssh authentication, and be a proficient C programmer.
Supervisors @ NeSC: 
Subject areas: 
Computer Architecture
Distributed Systems
Other
Software Engineering
Student project type: 
References: 
SSHFS & FUSE http://fuse.sourceforge.net/sshfs.html National Grid Service http://www.grid-support.ac.uk/ x509 proxy certificates http://www.ietf.org/rfc/rfc3820.txt x509 patch for SSH http://roumenpetrov.info/openssh/

Pages

Subscribe to RSS - UG4 student project