Title:

Probability and Statistics

Code:

ST1PS

Convenor:

DR Karen Poulter

Summary:

This module provides an introduction to probability and probability distributions, and to fundamental techniques for statistical inference, and for the analysis of data from observational studies, with a focus on regression and hypothesis testing.

Assessment Method:

Exam 70%, Oral 5%, Set exercise 10%, Report 15%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Calculus

Code:

MA1CA

Convenor:

DR Peter Chamberlain

Summary:

This module covers core topics in calculus.

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Foundations of Mathematics

Code:

MA1FM

Convenor:

DR Jani Virtanen

Summary:

This module introduces fundamental topics in mathematics.

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Linear Algebra

Code:

MA1LA

Convenor:

PROF Paul Glaister

Summary:

This module introduces the mathematics of linearity needed for other modules, and includes various topics in linear algebra.

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Mathematical and Statistical Programming

Code:

MA1MSP

Convenor:

MISS Hannah Fairbanks

Summary:

This module introduces students to the valuable skill of programming with clear links to applications in mathematics and statistics. Programming in Matlab, R and SAS will be covered. Examples from co-requisite modules, in both mathematics and statistics, will be used to illustrate various programming techniques.

Assessment Method:

Set exercise 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Real Analysis I

Code:

MA1RA1

Convenor:

DR Karl-Mikael Perfekt

Summary:

This module provides an introduction to mathematical analysis. We cover concepts such as inequalities, sequences and series as well as functions and their fundamental properties.

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Latin 1 (C)

Code:

CL1L1

Convenor:

MRS Jackie Baines

Summary:

This module aims to teach students some elements of the Latin language and give them skills to read Latin at an elementary level.

Assessment Method:

Exam 30%, Class test 70%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Ancient Greek 1

Code:

CL1G1

Convenor:

MRS Jackie Baines

Summary:

This module aims to teach students some elements of the Ancient Greek language and give them skills to read Ancient Greek at an elementary level.

Assessment Method:

Exam 30%, Class test 70%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Algebra

Code:

MA2ALA

Convenor:

DR Basil Corbas

Summary:

This module is an introduction to the basic concepts of algebra, centred around group, ring and field theory.

Assessment Method:

Exam 80%, Set exercise 20%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Differential Equations

Code:

MA2DE

Convenor:

DR Peter Sweby

Summary:

In this module, we continue the ODE work of Part 1 and consider more advanced topics such as ODEs with non-constant coefficients, integral and series solutions, Fourier series and the theory of boundary value problems. This is then extended into the study of partial differential equations, in particular the diffusion equation, the wave equation and Laplace’s equation, for which appropriate solution techniques are studied.

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Professional Skills for Mathematicians

Code:

MA2PSM

Convenor:

MRS Claire Newbold

Summary:

This module focuses on the development of professional/transferable skills.

Assessment Method:

Assignment 70%, Oral 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Vector Calculus

Code:

MA2VC

Convenor:

DR Peter Chamberlain

Summary:

The module involves differentiation of scalar and vector fields by the gradient, Laplacian, divergence and curl differential operators. A number of identities for the differential operators are derived and demonstrated. The module also involves line, surface and volume integrals. Various relationships between differential operators and integration (e.g, Green's theorem in the plane, the divergence and Stoke's theorems) are derived and demonstrated.

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Probability and Statistical Theory

Code:

ST2PST

Convenor:

DR Jeroen Wouters

Summary:

This module develops the theoretical foundations of methods used in statistical practice.The module rigorously introduces basic concepts of probability from a mathematical perspective. It aims to equip the students with a basic knowledge in probability which will reveal the interplay between probability theory and fundamental areas of mathematics, will allow students to formulate general real or abstract problems in a probabilistic model and will unravel the fundamentals which statistical methods are built on. In more detail the module will be developed around the concepts of probability distributions, random variables, independence, sums of random variables, limit laws and their application (Central Limit Theorem and laws of large numbers), and structures that depend on the present to study the future evolution of stochastic phenomena (Markov chains). The module also covers key topics in estimation and statistical inference, including method of moments and maximum likelihood.

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Linear Models and Data Analysis

Code:

ST2LMD

Convenor:

MISS Hannah Fairbanks

Summary:

This module covers the most common models used in statistics: multiple linear regression for observational studies and completely randomised designs for planned studies. It  also provides students with experience of real-life data analysis based on topics in applied statistics (such as medical statistics, sampling, demography, statistical genetics, forensic statistics and non-parametric statistics) by considering different datasets, how to analyse them, and how to present results from their analysis.

Assessment Method:

Exam 35%, Oral 10%, Set exercise 35%, Report 20%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Linear Models

Code:

ST2LM

Convenor:

MISS Hannah Fairbanks

Summary:

This module covers the most common models used in statistics: multiple linear regression for observational studies and completely randomised designs for planned studies.

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

The Science of Climate Change

Code:

MT2CC

Convenor:

PROF Nigel Arnell

Summary:

This module provides an introduction to the science of climate change, aimed at students who do not necessarily have a scientific background.

Assessment Method:

Exam 70%, Assignment 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Analysis in Several Variables

Code:

MA2ASV

Convenor:

DR Gyorgy Geher

Summary:

In this module the concepts of analysis are generalized to a multidimensional context.

Assessment Method:

Exam 80%, Set exercise 20%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Mathematical Modelling

Code:

MA2MOD

Convenor:

DR Zuowei Wang

Summary:

This module will cover topics related to mathematical modelling, e.g. in the areas of science, engineering and finance.

Assessment Method:

Exam 80%, Set exercise 20%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Numerical Analysis

Code:

MA2NAN

Convenor:

DR Peter Chamberlain

Summary:

This module introduces students to the study of numerical approximation techniques for problems of continuous mathematics.  We consider both theoretical questions regarding how, why and when numerical methods work, and practical implementation using computer programs.

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Mathematical Programming

Code:

MA2MPR

Convenor:

DR Peter Sweby

Summary:

This module introduces students to the valuable skill of programming with clear links to applications in mathematics. Programming concepts will be taught in the context of the Matlab programming language but are applicable to other programming languages. Examples from other mathematics modules taken will be used to illustrate various programming techniques.

Assessment Method:

Set exercise 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Mathematical Physics

Code:

MA2MPH

Convenor:

DR Calvin Smith

Summary:

In this module we explore some of the key equations of mathematical physics: the Maxwell equation for electromagnetism and the various models of diffusion and heat transfer. 

Assessment Method:

Exam 80%, Assignment 20%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Real Analysis I

Code:

MA2RA1

Convenor:

DR Karl-Mikael Perfekt

Summary:

This module provides an introduction to mathematical analysis. We cover concepts such as inequalities, sequences and series as well as functions and their fundamental properties.

Assessment Method:

Exam 70%, Assignment 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Probability Theory I

Code:

MA2PT1

Convenor:

DR Jeroen Wouters

Summary:

The module rigorously introduces basic concepts of probability from a mathematical perspective. It aims to equip the students with a basic knowledge in probability which will reveal the interplay between probability theory and fundamental areas of mathematics, will allow students to formulate general real or abstract problems in a probabilistic model and will unravel the fundamentals which statistical methods are built on. In more detail the module will be developed around the concepts of probability distributions, random variables, independence, sums of random variables, limit laws and their application (Central Limit Theorem and laws of large numbers), and structures that depend on the present to study the future evolution of stochastic phenomena (Markov chains).

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Real and Complex Analysis

Code:

MA2RCA

Convenor:

DR Titus Hilberdink

Summary:

The first part of this module continues the study of analysis to the point where it relates to topics in other courses, such as integration and differentiation. The second part provides an introduction to complex analysis.

Assessment Method:

Exam 80%, Set exercise 20%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Practice of Entrepreneurship

Code:

MM270

Convenor:

DR Norbert Morawetz

Summary:

This is a dynamic and experiential module aiming to give students a strong understanding of key dilemmas likely to be faced by first time entrepreneurs. The module develops student's entrepreneurial skill and confidence to put plans into action. Students gain understanding of the practice of entrepreneurship as informed by theory, role play and guest lectures. This will include exposure to the experience of successful entrepreneurs. Students are given a solid understanding of the realities of business start-up.

Assessment Method:

Assignment 65%, Oral 30%, Portfolio 5%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Development of transferable skills through a school placement 2

Code:

ED2TS2

Convenor:

DR Caroline Foulkes

Summary:

This module enables undergraduate students to develop key transferable skills needed for employment, and also provides outreach experience. Following specialist training on key aspects of working in schools, five day placements in June/July in secondary schools in the Reading area will provide work experience in a professional setting. In the autumn, students will build on the knowledge and transferable skills acquired in order to plan and deliver, with colleagues, a teaching session that shares knowledge of their degree specialism with small groups of school students. Students will reflect on, and share, their experiences with their colleagues. Assessment will be by coursework, and placement supervisor report on professionalism and engagement.

Students will be selected by application and interview.

Assessment Method:

Practical 10%, Oral 50%, Portfolio 40%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Development of transferable skills through a school placement 1

Code:

ED2TS1

Convenor:

DR Caroline Foulkes

Summary:

This module enables undergraduate students to develop key transferable skills needed for employment, and also provides outreach experience. Following specialist training on key aspects of working in schools, five day placements in June/July in
secondary schools in the Reading area will provide work experience in a professional setting. In the autumn, students will build on the knowledge and transferable skills acquired in order to plan and deliver, with colleagues, a teaching session that shares knowledge of their degree specialism with small groups of school students. Students will reflect on, and share, their experiences with their colleagues. Assessment will be by coursework, and placement supervisor report on professionalism and engagement.
Students will be selected by application and interview.

Assessment Method:

Practical 10%, Oral 50%, Portfolio 40%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Experimental Design

Code:

ST3ED

Convenor:

DR Michael Dennett

Summary:

Designed experiments are carried out in a wide range of applications to learn about the comparative effects of treatments and factors influencing a response. In this module the key principles which are essential for designing effective experiments from available resources will be covered. So too will be the factorial treatment structure and response surface methods, which are appropriate for studying more than one quantitative factor. Consideration will also be given to the analysis of data from experiments.

Assessment Method:

Exam 80%, Assignment 20%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Statistics Project

Code:

ST3PR

Convenor:

PROF Sue Todd

Summary:

This module focuses on independent learning of a statistical topic, and application of the relevant methods to a dataset.

Assessment Method:

Oral 20%, Dissertation 80%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Statistical Data Science and Machine Learning.

Code:

ST3SML

Convenor:

DR Fazil Baksh

Summary:

The topics of Data Science, Machine Learning and Artificial Intelligence have recently become part of the public consciousness, in part due to their successful application in industry (most notably at large technology companies). Many of the most successful techniques used in these fields are underpinned by statistical techniques. This module begins by covering some of these underpinning techniques, and shows how they may be applied to problems in Data Science and Machine Learning.

Assessment Method:

Exam 70%, Set exercise 30%"

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Multivariate Data Analysis

Code:

ST3MVA

Convenor:

MISS Hannah Fairbanks

Summary:

This module introduces methods for the analysis of data involving several measurements, where the aim is to identify similarities and differences between observations based on several variables. Multivariate data analysis techniques have a long history of being applied to analyse data from a wide range of disciplines such as psychology, and marketing and research. This module will introduce several techniques covering the underlying theory, as well as carrying out the analysis using software and interpreting the results.

Assessment Method:

Exam 80%, Set exercise 20%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Generalised Linear Models

Code:

ST3GLM

Convenor:

PROF Sue Todd

Summary:

This module extends the linear model, introducing the generalised linear modelling framework for analysing non-normal data, with particular focus on commonly used models such as logistic regression and log-linear models.

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Modelling Structured Data

Code:

ST3MSD

Convenor:

DR Fazil Baksh

Summary:

This module will consider traditional and modern methods for analysing repeated measurement data.

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Integral Equations

Code:

MA3XJ

Convenor:

PROF Simon Chandler-Wilde

Summary:

This module in concerned with the theory, application and solution of integral equations, with an emphasis on applications that are part of research across the School, at Reading (for example wave scattering of water waves, of acoustic and electromagnetic waves by atmospheric particles, etc.).

Assessment Method:

Exam 85%, Set exercise 15%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Number Theory

Code:

MA3Z7

Convenor:

DR Titus Hilberdink

Summary:

This module covers the theory of numbers.

Assessment Method:

Exam 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Asymptotic Methods

Code:

MA3AM

Convenor:

PROF Paul Glaister

Summary:

Foremost among the analytic techniques used in applications are the systematic methods of perturbations (asymptotic expansions) in terms of a small or large parameter or co-ordinate. This module is concerned with perturbation methods and applications will be made to non-linear equations, integrals and some ordinary differential equations.

Assessment Method:

Exam 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Vector Calculus

Code:

MA3VC

Convenor:

DR Peter Chamberlain

Summary:

The module involves differentiation of scalar and vector fields by the gradient, Laplacian, divergence and curl differential operators. A number of identities for the differential operators are derived and demonstrated. The module also involves line, surface and volume integrals. Various relationships between differential operators and integration (e.g, Green's theorem in the plane, the divergence and Stoke's theorems) are derived and demonstrated.

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Summer Placement

Code:

MA3SPL

Convenor:

MRS Claire Newbold

Summary:

This module gives students an opportunity to do a work placement or an internship with a work based employer broadly related to the general sphere of their degree studies. Based on the work experience gained, the student will deliver a self-reflective report following feedback from their employer and link their new and or enhanced skills to University of Reading graduate attributes.  Students will present at a student and employer networking event in October 2020 and to academic staff during week 6 of Autumn term in a more formal setting using slides and projector.

Assessment Method:

Oral 40%, Report 60%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Statistical Mechanics and Applications

Code:

MA3SMA

Convenor:

PROF Valerio Lucarini

Summary:

This module will introduce the concepts of statistical mechanics and their mathematical formulation.

Assessment Method:

Exam 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Real and Complex Analysis

Code:

MA3RCA

Convenor:

DR Titus Hilberdink

Summary:

The first part of this module continues the study of analysis to the point where it relates to topics in other courses, such as integration and differentiation. The second part provides an introduction to complex analysis.

Assessment Method:

Exam 80%, Set exercise 20%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Part 3 Project

Code:

MA3PRO

Convenor:

DR Patrick Ilg

Summary:

This module focuses on independent learning of a mathematical or statistical topic.

Assessment Method:

Oral 20%, Dissertation 70%, Project 10%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Peer Assisted Learning

Code:

MA3PAL

Convenor:

DR Calvin Smith

Summary:

This module will enable students who have volunteered to be Peer-assisted Learning (PAL) Leaders in Mathematics to gain a deeper understanding of their own learning and that of their peers on the same programme but in the years below through reflecting systematically on their weekly Mathematics peer learning sessions that they have planned, facilitated, and reviewed.

SELECTION PROCESS Students will be selected by written application and interview on the basis of academic ability, commitment and motivation as students, and an interest in learning, volunteering and possibly a career in education. The selection will be made by the Module Convenor. The Module Convenor will have the final say in terms of recruitment.

Assessment Method:

Practical 20%, Oral 10%, Report 70%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Numerical Analysis II

Code:

MA3NAT

Convenor:

DR Amos Lawless

Summary:

This course introduces and analyses a range of techniques in numerical approximation, numerical integration, and numerical linear algebra, with connections being made between these areas.  One half of the module will consider the design and analysis of algorithms for the approximate solution of problems of continuous mathematics, with a particular focus on topics such as interpolation, polynomial approximation, and integration.  The other half of the module will introduce and analyse a range of techniques in numerical linear algebra for solving very large systems of linear equations.

Assessment Method:

Exam 80%, Set exercise 20%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Measure Theory and Integration

Code:

MA3MTI

Convenor:

DR Nikos Katzourakis

Summary:

This module provides an introduction to measure theory and integration.

Assessment Method:

Exam 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Metric Spaces

Code:

MA3MS

Convenor:

DR Nikos Katzourakis

Summary:

The module studies analysis from a more general perspective, based on the concepts of distance. Normed, and metric spaces are introduced and the concepts of convergence, continuity, compactness and completeness are developed in this general framework. So exemplary applications are given. This module puts the material studied in previous courses in analysis in a simple and elegant yet general framework and provides a foundation for further courses in analysis and other areas of mathematics.

Assessment Method:

Exam 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Mathematical Biology

Code:

MA3MB

Convenor:

DR Marcus Tindall

Summary:

Mathematical Biology is one of the fastest growing areas of modern mathematics. The field is focussed on applying mathematical modelling techniques (and their analysis) to problems in biology. Whilst such problems can range across a huge number of systems, e.g. cells to ecosystems, this module is designed to give an introduction to the classic applications of Mathematical Biology and an appreciation of how mathematical modelling can be used to provide insight into biological problems.

Assessment Method:

Exam 80%, Set exercise 20%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Fluid Mechanics

Code:

MA3FM

Convenor:

DR Alex Lukyanov

Summary:

The objective of this course is to provide an elementary, but rigorous mathematical presentation of continuum description, to introduce concepts and basic principles of fluid mechanics.

Assessment Method:

Exam 90%, Assignment 10%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Dynamical Systems

Code:

MA3DS

Convenor:

DR Peter Chamberlain

Summary:

The module addresses the geometric theory of planar dynamical systems.

Assessment Method:

Exam 90%, Set exercise 10%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Calculus of Variations

Code:

MA3CV

Convenor:

DR Calvin Smith

Summary:

Calculus of variations considers the notion of optimising an integral where the quantity to be varied is a function.

Assessment Method:

Exam 80%, Set exercise 20%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Complex Analysis II

Code:

MA3CA2

Convenor:

DR Jani Virtanen

Summary:

This module continues the study of functions of one complex variable.

Assessment Method:

Exam 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Applied Stochastic Processes

Code:

MA3AST

Convenor:

DR Patrick Ilg

Summary:

This module introduces the concept of discrete and continuous stochastic processes, discusses their most important properties as well as a variety of applications from physics to finance.

Assessment Method:

Exam 80%, Set exercise 20%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Cryptography and Error Correcting Codes

Code:

MA3CEC

Convenor:

DR Basil Corbas

Summary:

To introduce and examine two of the most important and exciting contemporary applications of pure mathematics.

Assessment Method:

Exam 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Development of transferable skills through a school placement 3

Code:

ED3TS3

Convenor:

DR Caroline Foulkes

Summary:

This module enables undergraduate students to develop key transferable skills needed for employment, and also provides outreach experience. Following specialist training on key aspects of working in schools, five day placements in June/July in secondary schools in the Reading area will provide work experience in a professional setting. In the autumn, students will build on the knowledge and transferable skills acquired in order to plan and deliver, with colleagues, a teaching session that shares knowledge of their degree specialism with small groups of school pupils. Students will reflect on, and share, their experiences with their colleagues. Assessment will be by coursework, and placement supervisor report on professionalism and engagement.
Students will be selected by application and interview.

Assessment Method:

Practical 10%, Oral 50%, Portfolio 40%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Development of transferable skills through a school placement 4

Code:

ED3TS4

Convenor:

DR Caroline Foulkes

Summary:

This module enables undergraduate students to develop key transferable skills needed for employment, and also provides outreach experience. Following specialist training on key aspects of working in schools, ten day placements in June/July in secondary schools in the Reading area will provide work experience in a professional setting. In the autumn, students will build on the knowledge and transferable skills acquired in order to plan and deliver, with colleagues, a teaching session that shares knowledge of their degree specialism with small groups of school pupils. Students will reflect on, and share, their experiences with their colleagues. Assessment will be by coursework, and placement supervisor report on professionalism and engagement.

Students will be selected by application and interview.

Assessment Method:

Practical 10%, Oral 50%, Portfolio 40%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Fourth Year Project

Code:

MA4XA

Convenor:

DR Peter Sweby

Summary:

The module offers students the opportunity to work independently on an area of mathematics of their choice, and present their findings orally and in the form of a disseration.

Assessment Method:

Oral 15%, Dissertation 75%, Report 10%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Generalised Linear Models

Code:

ST4GLM

Convenor:

PROF Sue Todd

Summary:

This module extends the linear model, introducing the generalised linear modelling framework for analysing non-normal data, with particular focus on commonly used models such as logistic regression and log-linear models.

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Asymptotic Methods

Code:

MA4AM

Convenor:

PROF Paul Glaister

Summary:

Foremost among the analytic techniques used in applications are the systematic methods of perturbations (asymptotic expansions) in terms of a small or large parameter or co-ordinate. This module is concerned with perturbation methods and applications will be made to non-linear equations, integrals and some ordinary differential equations.

Assessment Method:

Exam 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Analytic Number Theory

Code:

MA4ANT

Convenor:

DR Titus Hilberdink

Summary:

This module introduces complex analytic techniques in the theory of numbers.

Assessment Method:

Exam 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Complex Analysis II

Code:

MA4CA2

Convenor:

DR Jani Virtanen

Summary:

This module continues the study of functions of one complex variable.

Assessment Method:

Exam 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Applied Stochastic Processes

Code:

MA4AST

Convenor:

DR Patrick Ilg

Summary:

To introduce the concept of stochastic processes and to enable students to solve problems involving stochastic processes from a variety of applications like molecular motion, population dynamics, weather and finances.

Assessment Method:

Exam 80%, Set exercise 20%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Cryptography and Error Correcting Codes.

Code:

MA4CEC

Convenor:

DR Basil Corbas

Summary:

To introduce and examine two of the most important and exciting contemporary applications of pure mathematics.

Assessment Method:

Exam 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Calculus of Variations

Code:

MA4CV

Convenor:

DR Calvin Smith

Summary:

Calculus of variations considers the notion of optimising an integral where the quantity to be varied is a function.

Assessment Method:

Exam 80%, Set exercise 20%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Dynamical Systems

Code:

MA4DS

Convenor:

DR Peter Chamberlain

Summary:

The module addresses the geometric theory of planar dynamical systems.

Assessment Method:

Exam 70%, Oral 20%, Set exercise 10%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Fluid Mechanics

Code:

MA4FM

Convenor:

DR Alex Lukyanov

Summary:

The objective of this course is to provide an elementary, but rigorous mathematical presentation of continuum description, to introduce concepts and basic principles of fluid mechanics.

Assessment Method:

Exam 90%, Assignment 10%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Statistical Mechanics and Applications

Code:

MA4SMA

Convenor:

PROF Valerio Lucarini

Summary:

This module will introduce the concepts of statistical mechanics and their mathematical formulation.

Assessment Method:

Exam 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Stochastic Processes

Code:

MA4SP

Convenor:

DR Jochen Broecker

Summary:

Stochastic processes and probability are important tools in applications and many areas of pure mathematics, but also objects of study in their own right.

Assessment Method:

Oral 60%, Set exercise 40%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Integral Equations

Code:

MA4XJ

Convenor:

PROF Simon Chandler-Wilde

Summary:

This module covers the theory, application and solution of integral equations, with an emphasis on applications that are part of research across the School, at Reading (for example wave scattering of water waves, of acoustic and electromagnetic waves by atmospheric particles, etc.).

Assessment Method:

Exam 70%, Assignment 20%, Set exercise 10%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Mathematical Biology

Code:

MA4MB

Convenor:

DR Marcus Tindall

Summary:

Mathematical Biology is one of the fastest growing areas of modern mathematics. The field is focussed on applying mathematical modelling techniques (and their analysis) to problems in biology. Whilst such problems can range across a huge number of systems, e.g. cells to ecosystems, this module is designed to give an introduction to the classic applications of Mathematical Biology and an appreciation of how mathematical modelling can be used to provide insight into biological problems.

Assessment Method:

Exam 80%, Set exercise 20%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Metric Spaces

Code:

MA4MS

Convenor:

DR Nikos Katzourakis

Summary:

The module studies analysis from a more general perspective, based on the concepts of distance. Normed, and metric spaces are introduced and the concepts of convergence, continuity, compactness and completeness are developed in this general framework. So exemplary applications are given. This module puts the material studied in previous courses in analysis in a simple and elegant yet general framework and provides a foundation for further courses in analysis and other areas of mathematics.

Assessment Method:

Exam 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Measure Theory and Integration

Code:

MA4MTI

Convenor:

DR Nikos Katzourakis

Summary:

This module provides an introduction to measure theory and integration.

Assessment Method:

Exam 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Numerical Analysis II

Code:

MA4NAT

Convenor:

DR Amos Lawless

Summary:

This course introduces and analyses a range of techniques in numerical approximation, numerical integration, and numerical linear algebra, with connections being made between these areas. One half of the module will consider the design and analysis of algorithms for the approximate solution of problems of continuous mathematics, with a particular focus on topics such as interpolation, polynomial approximation, and integration. The other half of the module will introduce and analyse a range of techniques in numerical linear algebra for solving very large systems of linear equations.

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Number Theory

Code:

MA4Z7

Convenor:

DR Titus Hilberdink

Summary:

This module covers the theory of numbers.

Assessment Method:

Exam 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.