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:

Fundamentals of Computer Science

Code:

CS1FC16

Convenor:

DR Hong Wei

Summary:

This module introduces the essential concept of computer systems in the autumn term, and the foundations of data structures and algorithms in the spring term.

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:

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:

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:

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:

Algorithms and Operating Systems

Code:

CS2AO17

Convenor:

PROF Xia Hong

Summary:

Algorithms and Operating Systems are fundamental concepts in Computer Science discipline. The module gives an introduction to fundamental algorithm design strategies that are common to many concrete applications. It also explores the features underlying the concepts of Operating Systems and provides experience of practical aspects related to core concepts in the area.

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:

Java

Code:

CS2JA16

Convenor:

DR Varun Ojha

Summary:

The module introduces the students to Object-Oriented programming with the Java language. The module covers the discipline, methodologies, and techniques of software development in Java. Knowledge of the C language syntax and experience of structured programming is a pre-requisite. The module is designed for students with some programming experience. The module is delivered in two terms. In the Autumn term the module introduces the basics of Object-Oriented Programming in Java (e.g. classes, objects, inheritance hierarchies, I/O, etc.). In the Spring term the module covers the advanced topics and techniques (e.g. data structures, networking, GUI, etc.).

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:

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:

Industrial Placement Year

Code:

MA2PY

Convenor:

DR Peter Chamberlain

Summary:

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

Assessment Method:

Report 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 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:

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:

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:

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:

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:

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:

Virtual Reality

Code:

CS3VR16

Convenor:

PROF Richard Mitchell

Summary:

This module covers techniques used in virtual reality.

Assessment Method:

Exam 30%, Set exercise 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:

Visual Intelligence.

Code:

CS3VI18

Convenor:

PROF James Ferryman

Summary:

This module covers the topics of visual perception and computer vision.

Assessment Method:

Exam 70%, Report 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:

Programming in Python for Data Science

Code:

CS3PP19

Convenor:

DR Lily Sun

Summary:

The module introduces students to the Python programming language and the Python data science module ecosystem, including data processing and machine learning libraries. Data manipulation and statistical data science methods are covered.

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:

Image Analysis

Code:

CS3IA16

Convenor:

DR Hong Wei

Summary:

 The module delivers a set of topics involved in image analysis, such as image enhancement, image compression, image segmentation, and colour image processing. Relevant techniques are introduced in lectures and practised in assigned lab-based coursework. 

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:

Data Science Algorithms and Tools

Code:

CS3DS19

Convenor:

PROF Giuseppe Di Fatta

Summary:

Automated data collection and mature database technology lead to tremendous amounts of data stored in databases, data warehouses and other information repositories. In this context, automated data analysis and data modelling tools and algorithms (Data Mining) are becoming essential components to any information system. Application areas of these techniques include scientific computing, intelligent business, direct marketing, customer relationship management, market segmentation, store shelf management, data warehouse management, fraud detection in e-commerce and in credit card transactions, etc.

Assessment Method:

Exam 50%, Set exercise 50%

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:

Distributed Systems and Parallel Computing

Code:

CS3DP19

Convenor:

DR Julian Kunkel

Summary:

This module introduces concepts, principles, tools, techniques and algorithms for distributed systems and parallel computing, and examines the deployment of relevant applications in Cloud, big data analytics, and massive-parallel environment. In this context, this module covers the topic ranging from hardware and software architectures and algorithms in the development of distributed systems, MapReduce program paradigm and Hadoop ecosystems, and in-memory and stream computing tools such as Spark, Storm, and Flink; to parallel programming paradigms for relevant hardware and software applications, such as OpenMP and MPI, and massive parallelism provided by GPUs. Talks from academia and industry will be incorporated in teaching for value adding in learning.

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:

Artificial Intelligence.

Code:

CS3AI18

Convenor:

DR Varun Ojha

Summary:

The main goal of this module is to familiarise students with fundamental algorithms and methods in Artificial Intelligence. This module aims to provide knowledge of artificial intelligence techniques such as problems solving, search, reasoning, learning, and perception. In this module, students will learn state-of-the-art deep learning method.

The module aims to provide students with theoretical and practical knowledge of Artificial Intelligence from various techniques and applications.

Assessment Method:

Exam 30%, Project 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:

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:

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:

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:

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:

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:

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:

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:

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:

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.