Your search for mathematics in Great Yarmouth has returned 12 results

You don't need a specialist mathematics background to be an effective maths teacher. This professional development diploma course equips you with the subject knowledge and teaching techniques required to teach all key stages.

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The MSc in Mathematics course has been designed for students who want to continue their mathematics studies by delving more deeply into particular aspects of pure and applied mathematics. The modules may well be of interest to mathematically inclined scientists and engineers as well as to mathematicians.

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The History of Mathematics Group conducts internationally recognised work in several areas of the history of modern mathematics, and collaborates with many historians of mathematics in Europe. A long-running interest in celestial mechanics has recently led to an investigation of the network of astronomers in the years around 1900, and an overlapping international project on the role of mathematics and mathematicians in the First World War.

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The Department of Economics has strong research interests in various aspects of the economics of innovation and development. Work on innovation has looked at econometric evidence for different theories of industrial change and share price dynamics.

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The Pure Mathematics Group is highly respected and has world-renowned researchers in the areas of Analysis and Geometry, and Combinatorics.Analysis is the study of limiting processes as applied to sets and functions; geometry is the study of the properties of Space, and includes fractals, hyperbolic geometry and topology. The analysts and geometers are particularly active in complex analysis, complex iteration theory, continued fraction theory, dynamical systems, geometric measure theory and toric topology.Combinatorics is the mathematics of discrete (usually finite) combinations and arrangements.

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Research in applied mathematics covers a broad range of topics and includes work at the highest level in several areas, including technical and pedagogical aspects of communicating and teaching mathematics. The group has strengths in areas of theoretical physics relating to solid-state physics, statistical physics, and quantum physics.

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Multivariate statistics is a major area of statistical endeavour, ranging from fundamental questions in probability theory and inference to exploratory, graphical methods of multidimensional analysis. Its applications range from archaeology to zoology, while its capabilities are continually being expanded by advances in computing.Members of the Multivariate Statistics Research Group are currently working on: multivariate Bayesian forecasting and model selection; diagnostics and influence analysis; differential geometry in statistics; analysis of distances and dissimilarities; prior distribution assessment for multivariate models; multivariate meta analysis; biplots; Procrustes analysis; Australian inter-state migration; multivariate beta and skew t distributions; local dependence; multivariate dynamic linear models; and simple structure.

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Medical statistics is a major area of statistical endeavour, and has had a considerable influence on clinical medicine and public health through applications - for instance, to the design and analysis of clinical trials and the epidemiology of chronic and infectious diseases.Members of the Medical Statistics Research Group have carried out research in areas such as statistical methods for psychology and medicine, including meta-analysis and analysis of case-control studies, and on the epidemiology of infectious diseases. The group aims to foster further research into the theory and application of methodology to medical statistics.

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Distribution theory includes the generation and study of new models for data. To make work on distributions of practical use, it is important to consider questions concerning statistical inference for such distributions along with the role, interpretation and appropriateness of any proposed non-standard families of distributions for data.

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Bayesian statistics is a major area of endeavour which is at the forefront of practical statistics thanks to Markov Chain Monte Carlo computational methods.Members of the Bayesian Statistics Research Group work on: Bayesian dynamic graphical models for multivariate forecasting; traffic networks; expert calibration; combination of subjective probabilities; model selection; graphical modelling of space-time processes; model uncertainty; Bayesian methods for branching processes; applications of Bayesian methodology to infectious diseases; elicitation of prior distributions; misclassified binary data; multivariate meta analysis; Bayesian methodology in ecology; Bayesian networks and forecasting in the aviation industry; and case-control studies.

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