Kaili Wu, a masters student from Zhe-Jiang Gong Shang University in
China, is just finishing a 3 month visit to the Centre of Mathematical
Sciences at the University of Plymouth. She worked
with Dr. Craig McNeile on the project: Economics of Wind
She worked on obtaining predictions for the energy produced from a Wind turbine using a neural network and an ARIMA model. As part of the project, she used the High Performance Computing Cluster at the University to do the statistical analysis.
Using Supercomputers to Search for the Breakdown of the Standard Model of Particle Physics
Craig will give a short overview to some of the open questions in particle
physics. He will then discuses the use of High Performance Computing
(HPC) to solve the equations of QCD (one of the theories behind
nuclear physics), and how these calculations are required in searches
for novel fundamental physics theories. He will describe some of the HPC infrastructure, such as the HPC cluster at the University of Plymouth
and the national systems run by the Distributed Research utilizing
Advanced Computing (Dirac) consortium. He will talk about the size
of the data sets generated, and briefly touch on the role of visualisations.
One piece of mathematics that important to businesses is called operational research (OR), because it has a number of tools to help efficiently organize the production of goods for example. Every year the OR society organizes a careers fair in Birmingham, where students get to meet with employers. Today, the second year mathematics students went with some staff members from Plymouth to the OR career fair in Birmingham, inorder to help them prepare to apply for placements and jobs in the final year.
The Oklahoma actor Will Rogers said “When the Okies left Oklahoma and moved to California, they raised the average intelligence level in both states.” This statement has led to the “Will Rogers phenomenon” which, in its basic form, takes place when an increase in the average value of each of two sets is achieved by moving an element from one set to another. This leads to the conclusion that there has been an overall improvement, when in fact essentially nothing has changed. Versions of the Will Rogers phenomenon can occur in cancer epidemiology, especially when changes are made to the definition of cancer stages.
Julian Stander and his cousin Mark who is a scientist based in industry have just had a paper accepted for publication in the Biometrical Journal in which they discuss a method for correcting for the Will Rogers Phenomenon. The Standers apply their method to data from breast cancer patients and also explain how to take account of uncertainty associated with published survival rates.
Royal Statistical Society was founded to address social problems
‘through the collection and classification of facts’, leading to many
developments in the collection of data, the
development of methods for analysing them, and the development of
statistics as a profession. Nearly 200 years later an explosion in
computational power has led, in turn, to an explosion in data. We
outline the challenges and the actions needed to exploit that
data for the public good, and to address the step change in statistical
skills and capacity development necessary to enable our vision of a
world where data are at the heart of understanding and decision-making.
Dr Vincent Drach have been awarded by the Science and Technology Facilities Council (STFC) a three-year research grant, worth GBP 39,000. The grant will foster activities on the topic of “The Universe at Extreme Scale” and will finance travels to conferences and workshops. This will further develop the Plymouth Center for Mathematical Sciences in the field of theoretical particle physics beyond the Standard Model and contribute to the quest of New Physics at experiments like those performed at CERN’s Large Hadron Collider (Switzerland).
This post offers an exciting opportunity to contribute to the School’s range of teaching in statistics; to undertake research and to participate in outreach and other activities. You will demonstrate the ability or potential to teach statistics at all levels, including foundation/undergraduate programmes, postgraduate taught programmes and undertake PhD supervision where appropriate. Especial notice will be taken of candidates who can demonstrate an interest in supporting our undergraduate education-related teaching.