MMath MATHEMATICS WITH A PLACEMENT YEAR G104

Probability and Statistics

ST1PS

DR Karen Poulter

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.

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

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.

Linear Algebra

MA1LA

PROF Paul Glaister

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

Exam 70%, Set exercise 30%

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.

Foundations of Mathematics

MA1FM

DR Rachel Newton

This module introduces fundamental topics in mathematics.

Exam 70%, Set exercise 30%

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.

Calculus

MA1CA

DR Peter Chamberlain

This module covers core topics in calculus.

Exam 70%, Set exercise 30%

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.

Real Analysis I

MA1RA1

DR Karl-Mikael Perfekt

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.

Exam 70%, Set exercise 30%

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.

Mathematical and Statistical Programming

MA1MSP

MISS Hannah Fairbanks

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.

Set exercise 100%

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.

Ancient Greek 1

CL1G1

PROF Amy Smith

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.

Exam 30%, Class test 70%

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.

Latin 1 (C)

CL1L1

MRS Jackie Baines

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

Exam 30%, Class test 70%

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.

Algebra

MA2ALA

DR Chris Daw

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

Exam 80%, Set exercise 20%"

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.

Differential Equations

MA2DE

DR Peter Sweby

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.

Exam 70%, Set exercise 30%"

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.

Professional Skills for Mathematicians

MA2PSM

MRS Claire Newbold

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

Assignment 70%, Oral 30%"

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.

Industrial Placement Year

MA2PY

DR Peter Chamberlain

This module, available only to those on mathematics undergraduate programmes, aims to provide experience of working in industry, government, research or other appropriate organisations.

Report 100%

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.

Vector Calculus

MA2VC

DR Peter Chamberlain

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.

Exam 70%, Set exercise 30%"

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.

Probability and Statistical Theory

ST2PST

MR Jeroen Wouters

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.

Exam 70%, Set exercise 30%"

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.

Linear Models

ST2LM

MISS Hannah Fairbanks

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

Exam 70%, Set exercise 30%"

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.

Linear Models and Data Analysis

ST2LMD

MISS Hannah Fairbanks

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.

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

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.

The Science of Climate Change

MT2CC

PROF Nigel Arnell

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

Exam 70%, Assignment 30%"

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.

Practice of Entrepreneurship

MM270

DR Norbert Morawetz

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.

Assignment 65%, Oral 30%, Portfolio 5%"

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.

Analysis in Several Variables

MA2ASV

DR Gyorgy Geher

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

Exam 90%, Set exercise 10%"

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.

Mathematical Modelling

MA2MOD

DR Zuowei Wang

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

Exam 80%, Set exercise 20%"

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.

Mathematical Physics

MA2MPH

DR Calvin Smith

The course continues the applied stream of mathematical education from e.g. mathematical modelling and facilitates to choose further physics- or biology-related modules in the third and fourth years. In this module, we show for several examples how mathematical problems arise in the description of nature and what their solution means for the phenomena under study. For example, problems like sound wave propagation or heat transfer have lead to partial differential equations and boundary-value problems. In this module you will also study how different mathematical concepts arise from physical phenomena, and in particular discover that completely different areas of physics can be described by exactly the same mathematical equations.

Exam 80%, Assignment 20%"

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.

Numerical Analysis

MA2NAN

DR Peter Chamberlain

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.

Exam 60%, Set exercise 40%"

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.

Mathematical Programming

MA2MPR

DR Zuowei Wang

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.

Set exercise 100%

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.

Probability Theory I

MA2PT1

MR Jeroen Wouters

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).

Exam 70%, Set exercise 30%"

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.

Real Analysis I

MA2RA1

DR Karl-Mikael Perfekt

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.

Exam 70%, Assignment 30%"

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.

Real and Complex Analysis

MA2RCA

DR Titus Hilberdink

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.

Exam 80%, Set exercise 20%"

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.

Summer Placement

MA2SPL

MRS Claire Newbold

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 review following feedback from their employer and a poster that they will present at a student and employer networking event.

Oral 10%, Project 30%, Report 60%"

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.

Development of transferable skills through a school placement 1

ED2TS1

MRS Janet Thomson

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.

Practical 10%, Oral 50%, Portfolio 40%"

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.

Development of transferable skills through a school placement 2

ED2TS2

MRS Janet Thomson

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 (possibly September) 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.

Practical 10%, Oral 50%, Portfolio 40%"

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.

Generalised Linear Models

ST3GLM

PROF Sue Todd

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.

Exam 70%, Set exercise 30%"

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.

Modelling Structured Data

ST3MSD

DR Fazil Baksh

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

Exam 70%, Set exercise 30%"

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.

Experimental Design

ST3ED

DR Michael Dennett

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.

Exam 80%, Assignment 20%"

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.

Multivariate Data Analysis

ST3MVA

MISS Hannah Fairbanks

This module introduces methods for the analysis of data involving several measurements, where the aim is to identify similarities and differences between observations.

Exam 80%, Set exercise 20%"

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.

Statistics Project

ST3PR

PROF Sue Todd

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

Oral 20%, Dissertation 80%"

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.

Statistical Data Science and Machine Learning.

ST3SML

DR Fazil Baksh

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 (for inference in implicit models) and Machine Learning (for classification).

Exam 70%, Set exercise 30%"

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.

Fluid Mechanics

MA3FM

DR Alex Lukyanov

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.

Exam 90%, Assignment 10%"

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.

Mathematical Biology

MA3MB

DR Marcus Tindall

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.

Exam 80%, Set exercise 20%"

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.

Dynamical Systems

MA3DS

DR Peter Chamberlain

The module addresses the geometric theory of planar dynamical systems.

Exam 90%, Set exercise 10%"

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.

Calculus of Variations

MA3CV

DR Calvin Smith

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

Exam 100%

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.

Cryptography and Error Correcting Codes

MA3CEC

DR Basil Corbas

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

Exam 100%

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.

Applied Stochastic Processes

MA3AST

DR Patrick Ilg

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.

Exam 80%, Set exercise 20%"

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.

Complex Analysis II

MA3CA2

DR Jani Virtanen

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

Exam 100%

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.

Asymptotic Methods

MA3AM

PROF Paul Glaister

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.

Exam 100%

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.

Part 3 Project

MA3PRO

DR Patrick Ilg

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

Oral 20%, Dissertation 70%, Project 10%"

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.

Peer Assisted Learning

MA3PAL

DR Calvin Smith

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 PROCESSStudents 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 and the PAL Coordinator. The Module Convenor will have the final say in terms of recruitment.

Practical 20%, Oral 10%, Portfolio 30%, Report 40%"

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.

Numerical Analysis II

MA3NAT

DR Amos Lawless

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.

Exam 70%, Set exercise 30%"

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.

Measure Theory and Integration

MA3MTI

DR Karl-Mikael Perfekt

This module provides an introduction to measure theory and integration.

Exam 100%

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.

Statistical Mechanics and Applications

MA3SMA

PROF Valerio Lucarini

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

Exam 100%

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.

Summer Placement

MA3SPL

MRS Claire Newbold

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 review following feedback from their employer and a poster that they will present at a student and employer networking event.

Oral 20%, Project 20%, Report 60%"

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.

Number Theory

MA3Z7

DR Titus Hilberdink

This module covers the theory of numbers.

Exam 100%

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.

Integral Equations

MA3XJ

PROF Simon Chandler-Wilde

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.).

Exam 85%, Set exercise 15%"

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.

Development of transferable skills through a school placement 3

ED3TS3

MRS Janet Thomson

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.

Practical 10%, Oral 50%, Portfolio 40%"

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.

Development of transferable skills through a school placement 4

ED3TS4

MRS Janet Thomson

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 (possibly September) 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.

Practical 10%, Oral 50%, Portfolio 40%"

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.

Fourth Year Project

MA4XA

DR Peter Sweby

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.

Oral 20%, Dissertation 70%, Report 10%"

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.

Integral Equations

MA4XJ

PROF Simon Chandler-Wilde

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.).

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

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.

Number Theory

MA4Z7

DR Titus Hilberdink

This module covers the theory of numbers.

Exam 100%

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.

Statistical Mechanics and Applications

MA4SMA

PROF Valerio Lucarini

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

Exam 75%, Report 25%"

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.

Stochastic Processes

MA4SP

DR Tobias Kuna

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

Oral 60%, Set exercise 40%"

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.

Cryptography and Error Correcting Codes.

MA4CEC

DR Basil Corbas

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

Exam 100%

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.

Measure Theory and Integration

MA4MTI

DR Karl-Mikael Perfekt

This module provides an introduction to measure theory and integration.

Oral 100%

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.

Mathematical Biology

MA4MB

DR Marcus Tindall

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.

Exam 80%, Set exercise 20%"

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.

Fluid Mechanics

MA4FM

DR Alex Lukyanov

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.

Exam 90%, Assignment 10%"

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.

Dynamical Systems

MA4DS

DR Peter Chamberlain

The module addresses the geometric theory of planar dynamical systems.

Exam 80%, Oral 10%, Set exercise 10%"

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.

Calculus of Variations

MA4CV

DR Calvin Smith

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

Exam 100%

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.

Complex Analysis II

MA4CA2

DR Jani Virtanen

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

Exam 100%

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.

Applied Stochastic Processes

MA4AST

DR Patrick Ilg

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.

Exam 80%, Set exercise 20%"

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.

Analytic Number Theory

MA4ANT

DR Titus Hilberdink

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

Exam 100%

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.

Asymptotic Methods

MA4AM

PROF Paul Glaister

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.

Exam 100%

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.