Undergraduate Degrees

BSc Computing Science With a Year in Industry ( G401 )

UCAS Course Code:: G401
Duration:: 4 years
Attendance:: Full Time
Award:: Degree of Bachelor of Science
School of Study:: Computing Sciences
Brochure:: School of Computing Sciences Undergraduate Brochure (PDF)
Typical A-Level Offer:: ABB

Overview
Why Choose Us
Course Profile
Year In Industry
Requirements
Fees and Funding
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Why take this course?

This degree programme is four years in duration. You will spend the first two years at UEA, Norwich. The third year is spent on a work placement and the fourth and final year is spent back at UEA, Norwich. The first two years are identical to those in the BSc Computing Science degree and you will study a range of computing subjects. The fourth year of this programme is identical to the third year in the BSc Computing Science degree programme. In the first year you will be introduced to the core material that underpins computer science, including programming in Java. In the second and fourth years of your programme, you will be able to structure your degree from a wide range of computing science subjects, allowing you to continue with mainstream computing science with choices that relate to your interests and career aspirations. During your final year you will work on an extensive project under individual supervision from a faculty member.

Spending a year working in industry provides you with a range of opportunities. You will be able to apply work that you have learnt during your first two years in a real industrial setting. The industry year also gives you a range of transferrable skills that should increase your employability prospects. Many of our industry students return in their fourth year and continue their industry work in their final year project. This maintains links with the company and also gives a valuable head-start to the project.

This programme has full Chartered IT Professional (CITP) accreditation as well as leading to Chartered Engineer (CEng) status from the (BCS - The Chartered Institute for IT)

Contact time

Students have on average 15 hours of contact time per week with teaching staff through lectures, laboratory sessions and seminars, though this may vary depending on module choices. Additionally, students should allocate at least 25 hours per week for study, coursework assignments and projects.

Career opportunities

Your prospects as a graduate student in Computing Science are manifold. Depending on which specialties you studied during your degree course, you will have the necessary skills to work in many application areas of computing science, for example web programming, computer games development, financial systems development, machine learning, data mining, computational biology and many more. The fourth year of your degree will further strengthen the research and analysis skills that are essential for a successful technical career in industry.

Contact: admissions@uea.ac.uk

Course Organiser:Dr. Ben Milner

The School of Computing Sciences (CMP) has an excellent reputation in teaching. 90% Satisfied with teaching in Guardian University Guide 2013.

The school offers undergraduate and postgraduate degree courses in Computing Science and subject areas allied to it that include computer graphics, computer systems engineering, actuarial sciences, business information systems and computational biology.

All of our degree courses are designed to give you a flexible structure that enables you to choose subjects that interest you and that are aligned with your career aspirations.
You will be taught by academics at the cutting edge of their respective fields. In the last research assessment exercise 95% of our research was regarded as world-leading or as internationally excellent or recognised.
The School of Computing Sciences has an excellent reputation in teaching having been awarded the top grade of ‘commendable’ in all categories from the Quality Assurance Agency (QAA).
Our undergraduate computing degrees have full Chartered IT Professional (CITP) accreditation (many of the Masters programmes also have the Further Learning Element status)as well as leading to Chartered Engineer (CEng) status from the (BCS - The Chartered Institute for IT).
Much of our work is concerned with real-world problems and applications and we have excellent links with industry both for our teaching and research.
The facilities and student experience in the school are excellent. We have a range of different laboratories for students that cater for the different disciplines taught in the school. We also have a Help Desk that provides support for our students, as well as a student common room and a Staff Student Liaison Committee.
Our teaching is delivered in a variety of ways including lectures, laboratory classes, seminars and group projects. Our laboratory class and seminars are run with a 1-to-16 staff to student ratio ensuring you can obtain good support.
The School of Computing Sciences leads the university in utilizing its internationally recognized research commercially, through SYS Consulting, its Consulting company and through Knowledge Transfer Partnerships.
Our students also use their technical and entrepreneurial skills to play influential roles in the creation of companies such as Travel Republic, Evoke systems, Fyfo and Shoretech systems.

Compulsory Study (100 credits)

Students must study the following modules for 100 credits:

Name	Code	Credits
COMPUTING FUNDAMENTALS 1	CMPC1F02	20
The module introduces key concepts in discrete mathematics, logic and statistical analysis essential for any degree in computing. More...
COMPUTING SYSTEMS 1	CMPC1M01	20
The module is designed to introduce students to some of the principal technologies of contemporary computing systems and to software development in a web context. More...
COMPUTING SYSTEMS 2	CMPC1M02	20
The module is designed to provide students with: an overview of the organisational, cultural and technical context of current software development, experience of developing software in a web context, and an introduction to the principal architectures of contemporary computing systems. More...
PROGRAMMING 1	CMPC1M0Y	20
The purpose of the module is to give the student a solid grounding in the essential features of object-oriented computer programming using the Java programming language. The module is designed to meet the needs of a student who has not previously studied programming, although it is recognised that many will in fact have done so in some measure. On completing this module the student should be capable of developing, testing and documenting simple but non-trivial object-oriented programs, and of using the appropriate technical terminology in discussing these programs. More...
THE COMPUTING REVOLUTION	CMPC1F05	20
The module is designed to provide students with an overview of the history of computing, and an insight to likely developments. Report writing and team skills are developed. More...

Option A Study (20 credits)

Students will select 20 credits from the following modules:

Name	Code	Credits
MATHEMATICS FOR COMPUTING A	CMPC1F1Y	20
The module is designed to provide students who have not studied A level Mathematics with sufficient understanding of basic algebra to give them confidence to embark on the study of computing fundamentals. Various topics in discrete and continuous mathematics which are fundamental to Computer Science will be introduced. More...
MATHEMATICS FOR COMPUTING B	CMPC1F3Y	20
This module is designed for students with an A level (or equivalent) in Mathematics. For these students it provides an introduction to the mathematics of counting and arrangements, a further development of the theory and practice of calculus, an introduction to linear algebra and its computing applications and a further development of the principles and computing applications of probability theory. In addition 3D Vectors are introduced and complex numbers are studied. More...

Compulsory Study (60 credits)

Students must study the following modules for 60 credits:

Name	Code	Credits
DATA STRUCTURES AND ALGORITHMS	CMPC2M11	20
This is a compulsory module for all computing students and provides the necessary foundation in data and storage structures for all computing streams. In addition, the module emphasises systematic algorithm design and discusses algorithm analysis. At the same time, the module provides the student with the opportunity to reinforce and enhance the programming skills developed in the first year. More...
PROGRAMMING 2	CMPC2M13	20
This is a compulsory module for all computing students and is a continuation of 1M0Y/1X04. It contains greater breadth and depth and provides students with the range of skills needed for many of their subsequent modules. We recap Java and deepen your understanding of the language by teaching topics such as nested classes, generics, swing and threaded programming. We will also broaden your programming knowledge by giving you a basic grounding in Matlab and C++. More...
THEORETICAL COMPUTING	CMPC2F02	20
A required module for Computer Science students starting after 2007, this module provides an introduction to computing theory with an emphasis on its application within software development. Topics covered include syntax and semantic models, prepositional and predicate calculus and formal correctness proofs. More...

Option A Study (40 credits)

Students will select 40 credits from the following modules:

Name	Code	Credits
APPLIED STATISTICS A	CMPC2S10	20
This is a module designed to give students the opportunity to apply statistical methods in realistic situations. While no advanced knowledge of probability and statistics is required, we expect students to have some background in probability and statistics before taking this module. The aim is to cover 4 topics from a list including: Estimating population abundance, Extremes and quartiles, Linear models, Bootstrap methods and their application, Sample surveys, Simulations, Subjective statistics, Forecasting and Clustering methods. The topics on offer may vary to cover the interests of those in the class. More...
ARCHITECTURES AND OPERATING SYSTEMS	CMPC2M09	20
This module studies the organization of both the system software and the underlying hardware architecture in modern computer systems. The role of concurrent operation of both hardware and software components is emphasized throughout, and the central concepts of the module are reinforced by practical work involving Lego robots and Java programming exercises. More...
ARTIFICIAL INTELLIGENCE	CMPC2A12	20
This module aims to introduce concepts of classical Artificial Intelligence. Topics include an introduction to a logic programming language, knowledge representation, expert systems, case base reasoning, problem solving paradigms and game playing. More...
CIRCUITS AND SYSTEMS	CMPE2D01	20
This module introduces students to techniques for analysis of analogue electronic circuits and systems. The module comprises lectures, workshops and laboratories. Workshops develop analytical and problem solving skills. Practical exercises and projects, undertaken in the Lewin Laboratory support the underpinning theory and enable students to build a range of simple electronic devices, e.g. AM comms system, video-scope, digital thermometer, etc. More...
DATABASE SYSTEMS	CMPC2B08	20
This module covers most aspects of databases, database manipulation and database management systems. The module is mainly based on the relational model, although other models are also discussed. The students will explore the tools and methods for database design as well as the programming of database applications. Part of the practical experience gained will be acquired using a modern commercial relational database management system. Students will also gain programming experience using SQL, and using the Java JDBC interface. A high level language programming module is a pre-requisite. More...
DIGITAL SYSTEMS DESIGN	CMPE2D04	20
This module is concerned with the design and implementation of digital electronic systems that form basic components of modern computers. Topics include an introduction to switching algebra, synthesis of combinational and sequential circuits and techniques for circuit minimization. The module also provides a practical introduction to VHDL, an industry standard hardware description language. Students gain practical experience by undertaking a number of projects based on programmable logic devices. More...
FURTHER MATHEMATICS	CMPC2F01	20
This module is for those students who have passed CMPC1F3Y in their first year and would like to study further theory that is a pre-requisite for several other 2nd and 3rd level modules in CMP. For such students it provides an introduction to the mathematics of counting and arrangements, a further development of the theory and practice of calculus, an introduction to linear algebra and its computing applications and a further development of the principles and computing applications of probability theory. 3D Vectors and complex numbers are also studied. More...
GRAPHICS I	CMPC2G04	20
This module covers the basics of computer graphics for all computer scientists and concentrates on two-dimensional and three-dimensional graphics fundamentals. It puts an emphasis on 2D graphics, algorithms, interaction and OpenGL. Other topics covered include fonts, algorithms for line drawing, curves, clipping and colour. Ability to program is a pre-requisite. An introduction to C++ will be presented as part of the module. More...
INTRODUCTION TO COMPUTATIONAL BIOLOGY	CMPC2B06	20
Computational biology is one of the great growth areas of both computing sciences and biology due to the development of robotic systems that are able churn out vast amounts of biological data. The challenge computational biologists' face involves turning this data into understanding. This data is often in the form of DNA, RNA or protein sequence. Although an introduction to the basics of molecular biology will be given, the module will mainly focus on the computational methods used in computational biology and bioinformatics. Topics will include sequence analysis, structural genomics and protein modelling, phylogenetics and evolution, and biological networks. Lecturers will highlight the relevance of the material to cutting-edge research. More...
INTRODUCTION TO MEDICAL PHYSICS	SCI-2P19	10
For students not studying this module in their first year. The module gives an overview of the role physics plays in medicine, covering three of the core disciplines of medical physics: Diagnostic and therapeutic radiological physics and medical nuclear physics. As well as a series of lectures, a number of field trips to the Norfolk and Norwich University Hospital enables students to gain an insight into routine work and clinical research undertaken by medical physicists.
PHYSICS OF MUSIC	SCI-2P15	10
This module explores the physics behind the generation and reception of music. We begin by developing some of the essential physics of wave motion and defining sound measurement terms. This equips us to analyse the physics of stringed instruments (bowed, plucked and struck), woodwind instruments, brass instruments, percussion instruments and the acoustics of singing. We also look at tuning systems, human hearing, and the physics of sound in rooms. Lab-classes include an introduction to MATLAB to enable you to record and analyse the sound of your own instrument, which constitutes the coursework. A-level standard of mathematics is preferred, but anyone without this level who is prepared to work a little to enhance their understanding of mathematics in one or two areas will be able to take this module.
SOFTWARE ENGINEERING 1	CMPC2M02	20
Software Engineering is one of the most essential skills for work in the software development industry. Students will gain an understanding of the issues involvedin designing and creating software systems from an industry perspective. They will be taught state of the art in phased software development methodology, with a special focus on the activities required to go from initial class model design to actual running software systems. These activities are complemented with an introduction into software project management and development facilitation. More...
SOUND AND IMAGE I	CMPE2I06	20
There has recently been a huge growth in the power and sophistication of tools that enable people to manipulate images and sounds on computers, and the techniques underlying these tools are also key for the development of artificial intelligence. In this module, we study the nature of audio and video signals from devices such as cameras and microphones and how they are captured and represented on a computer. This includes the coverage of essential ideas of topics such as sampling, time, spatial and frequency domains, filtering, Fourier representation etc. and practical work (using MATLAB) on processing sounds and images to e.g. produce effects, extract information from, or recognize a sound or an image. More...
SYSTEMS ANALYSIS	CMPC2B05	20
This module considers various activities associated with the development of all types of computer based information systems including project management, feasibility, investigation, analysis, logical and physical design, and the links to file design, software design, and user interface design. It makes use of a number of analysis and design tools and techniques in order to produce readable system specifications. Students are introduced to a number of development methods including structured, object oriented, soft systems, participative, iterative and rapid approaches. More...

Free Choice Study (20 credits)

Students will select modules worth 20 credits from the course catalogue with the approval of their School

Compulsory Study (120 credits)

Students must study the following modules for 120 credits:

Name	Code	Credits
INDUSTRIAL PROJECT REPORT	CMPC3P5Y	40
This module provides an opportunity for students to undertake individual project work during their industrial training placement. More...
YEAR IN INDUSTRY	CMPC3P0Y	80
This module is for students who are enrolled on undergraduate programmes that combine academic study with an opportunity to gain experience by working for a year in industry. More...

Compulsory Study (40 credits)

Students must study the following modules for 40 credits:

Name	Code	Credits
COMPUTING PROJECT	CMPC3P2Y	40
Available to any student registered in the School of Computing Sciences, the objective of this module is to enable students to gain experience of independent project work, both from a technical and an organisational standpoint. Each student will be allocated to a supervisor who will offer technical guidance and advise on presentation of reports. More...

Option A Study (40 credits)

Students will select 40 credits from the following modules:

Name	Code	Credits
ADVANCED GRAPHICS	CMPC3G02	20
This is an advanced module aiming to acquaint the student with the techniques of three-dimensional modelling, high-quality rendering, ray tracing, radiosity and modern 3D graphics hardware. It also introduces computational geometry which is the study of algorithms and data structures for solving geometric problems on a computer. The module is a logical continuation of Graphics I and II. More...
ADVANCED STATISTICS	CMPC3C12	20
This module covers three topics in statistical theory. For this year they are Regression and Linear Model, Generalised Models and Non-parametric Methods. The first two topics consider both the theory and practice of statistical model fitting and students will be expected to analyse real data. The third topic is chosen to be a contrasting one. Non-parametric methods are a vital part of the statisticians armoury and cheap computing makes such techniques very powerful. We look at the traditional permutation based methods as well as the empirical distribution function. More...
COMPUTER VISION (FOR DIGITAL PHOTOGRAPHY)	CMPC3I16	20
This module covers the various stages in processing the image recorded at the sensor level in a camera so that the output is an attractive photographic image. The first half of the course will cover topics including demosiacking, denoising, white point correction, dynamic range compression and image rendering. The second half will look at higher level functions such as finding faces in images, content recognition (including face recognition) and facial coding in images. The last topic is particularly interesting in the context of mobile phone applications. More...
ELECTRICITY GENERATION AND DISTRIBUTION	ENG-3E02	20
This module builds on the introductory material of the first and second year theme of electricity by studying the technical aspects, e.g. transformer design, cable constraints, of the provision of a national grid for electricity together with the practical aspects and costs involved. Detailed consideration of the various contributions to demand and their mis-match with supply will lead naturally to considerations of the established and novel methods for storing electricity, e.g. pumped-storage schemes or super-capacitors.
EMBEDDED SYSTEMS	CMPE3D02	20
Embedded processors are at the core of a huge range of products e.g. mobile telephones, cameras, passenger cars, washing machines, DVD players, medical equipment, etc. The embedded market is currently estimated to be worth around 100x the 'desktop' market and is projected to grow exponentially over the next decade. This module builds on the material delivered in CMPC2M09 to consider the design and development of real-time embedded system applications for commercial off the shelf (COTS) processors running real-time operating systems (RTOS) such as eLinux. More...
GRAPHICS II	CMPC3G91	20
This module introduces the fundamentals of 3D transformations and viewing using OpenGL. It teaches the theory and implementation of fundamental visibility determination algorithms and techniques for lighting, shading and anti-aliasing. Issues involved with modern high performance graphics processor are also considered. More...
INFORMATION RETRIEVAL	CMPC3M03	20
The module explores the development of Information Retrieval technologies, which have been driven by large increases in on-line documents and the Internet search engines. The main topics covered include information retrieval models and architecture, Web-based retrieval, multimedia retrieval, common NLP techniques and their role in IR. Previous experience of a high level programming language is required, and either CMPS2B23 or CMPS2B26 are desirable pre-requisites. More...
MACHINE LEARNING	CMPC3A01	20
This module covers the core topics that dominate machine learning research: classification, clustering and reinforcement learning. We describe a variety of classification algorithms (e.g. Neural Networks, Decision Trees and Learning Classifier Systems) and clustering algorithms (e.g. k-NN, PAM and BIRCH) and discuss the practical implications of their application to real world problems. We then introduce a range of popular techniques used in reinforcement learning and describe their application to control problems such as maze solving. The module will adopt a practical approach by considering a number of case studies drawn from current research being conducted in CMP in the fields of data mining, computer vision and speech processing. More...
NETWORKS	CMPC3M06	20
This module introduces the important concepts in data transmission and computer network design, implementation and management. Architectures and protocols for both local and wide-area networks are studied in detail with an emphasis on performance evaluation and real-time use. An emphasis is placed on issues concerned with real-time delivery of data and maintaining quality of service, for example through study of applications such as voice over IP. More...
SOFTWARE ENGINEERING II	CMPC3M08	20
Using data-centric software engineering principles, this module explores the development of distributed, industrial-strength information systems for Web-based implementations. Topics include dynamic object-oriented system design, the use of persistent objects with Relational databases, business models, business objects, and the practical design and implementation for an architecture n-tier, server-based, systems environment. The use of these techniques, for both e-Commerce and other systems, will be discussed. Coursework will concentrate on the practical use of Java Enterprise Edition version 5 (Java EE 5)-based techniques. Confidence in Java programming language skills and knowledge of Java SE 5 enhancements are pre-requisites. More...
SOUND AND IMAGE II	CMPE3I07	20
This module continues the exploration of computer processing of sound and image signals begun in Sound and Image I. In the “sound” component, we focus on speech processing, a technology that has already had a huge impact and holds great promise for the future. We cover: 1) speech-coding, which enables us to understand how one of the most significant technologies of recent times (the mobile telephone) is able to transmit speech at a low data-rate; 2) speech recognition, which is now becoming commonplace in interactive voice systems; and 3) speech synthesis. In the “image” component, we focus on the analysis of image signals and learn how to apply advanced filtering and enhancement techniques to images to restore them, and the basics of computer vision systems. These concepts are re-enforced with practical coursework, which gives students hands-on experience of processing audio and video signals. More...
SYSTEMS ENGINEERING	CMPC3B10	20
This module draws together a wide range of material and considers it in the context of developing modern large-scale computer systems. Topics such as Outsourcing, Process Improvement, System Failure, Project Management, Configuration Management, Maintainability, Legacy Systems and Re-engineering, Acceptance and Performance Testing, Metrics and Human Factors are covered in this module. The module is supported by a series of industrial case studies and includes speakers from industry. More...

Option B Study (20 credits)

Students will select 20 credits from the following modules:

Name	Code	Credits
ADVANCED GRAPHICS	CMPC3G02	20
This is an advanced module aiming to acquaint the student with the techniques of three-dimensional modelling, high-quality rendering, ray tracing, radiosity and modern 3D graphics hardware. It also introduces computational geometry which is the study of algorithms and data structures for solving geometric problems on a computer. The module is a logical continuation of Graphics I and II. More...
ADVANCED STATISTICS	CMPC3C12	20
This module covers three topics in statistical theory. For this year they are Regression and Linear Model, Generalised Models and Non-parametric Methods. The first two topics consider both the theory and practice of statistical model fitting and students will be expected to analyse real data. The third topic is chosen to be a contrasting one. Non-parametric methods are a vital part of the statisticians armoury and cheap computing makes such techniques very powerful. We look at the traditional permutation based methods as well as the empirical distribution function. More...
APPLIED STATISTICS A	CMPC2S10	20
This is a module designed to give students the opportunity to apply statistical methods in realistic situations. While no advanced knowledge of probability and statistics is required, we expect students to have some background in probability and statistics before taking this module. The aim is to cover 4 topics from a list including: Estimating population abundance, Extremes and quartiles, Linear models, Bootstrap methods and their application, Sample surveys, Simulations, Subjective statistics, Forecasting and Clustering methods. The topics on offer may vary to cover the interests of those in the class. More...
ARCHITECTURES AND OPERATING SYSTEMS	CMPC2M09	20
This module studies the organization of both the system software and the underlying hardware architecture in modern computer systems. The role of concurrent operation of both hardware and software components is emphasized throughout, and the central concepts of the module are reinforced by practical work involving Lego robots and Java programming exercises. More...
ARTIFICIAL INTELLIGENCE	CMPC2A12	20
This module aims to introduce concepts of classical Artificial Intelligence. Topics include an introduction to a logic programming language, knowledge representation, expert systems, case base reasoning, problem solving paradigms and game playing. More...
CIRCUITS AND SYSTEMS	CMPE2D01	20
This module introduces students to techniques for analysis of analogue electronic circuits and systems. The module comprises lectures, workshops and laboratories. Workshops develop analytical and problem solving skills. Practical exercises and projects, undertaken in the Lewin Laboratory support the underpinning theory and enable students to build a range of simple electronic devices, e.g. AM comms system, video-scope, digital thermometer, etc. More...
COMPUTER VISION (FOR DIGITAL PHOTOGRAPHY)	CMPC3I16	20
This module covers the various stages in processing the image recorded at the sensor level in a camera so that the output is an attractive photographic image. The first half of the course will cover topics including demosiacking, denoising, white point correction, dynamic range compression and image rendering. The second half will look at higher level functions such as finding faces in images, content recognition (including face recognition) and facial coding in images. The last topic is particularly interesting in the context of mobile phone applications. More...
DATABASE SYSTEMS	CMPC2B08	20
This module covers most aspects of databases, database manipulation and database management systems. The module is mainly based on the relational model, although other models are also discussed. The students will explore the tools and methods for database design as well as the programming of database applications. Part of the practical experience gained will be acquired using a modern commercial relational database management system. Students will also gain programming experience using SQL, and using the Java JDBC interface. A high level language programming module is a pre-requisite. More...
DIGITAL SYSTEMS DESIGN	CMPE2D04	20
This module is concerned with the design and implementation of digital electronic systems that form basic components of modern computers. Topics include an introduction to switching algebra, synthesis of combinational and sequential circuits and techniques for circuit minimization. The module also provides a practical introduction to VHDL, an industry standard hardware description language. Students gain practical experience by undertaking a number of projects based on programmable logic devices. More...
EMBEDDED SYSTEMS	CMPE3D02	20
Embedded processors are at the core of a huge range of products e.g. mobile telephones, cameras, passenger cars, washing machines, DVD players, medical equipment, etc. The embedded market is currently estimated to be worth around 100x the 'desktop' market and is projected to grow exponentially over the next decade. This module builds on the material delivered in CMPC2M09 to consider the design and development of real-time embedded system applications for commercial off the shelf (COTS) processors running real-time operating systems (RTOS) such as eLinux. More...
FURTHER MATHEMATICS	CMPC2F01	20
This module is for those students who have passed CMPC1F3Y in their first year and would like to study further theory that is a pre-requisite for several other 2nd and 3rd level modules in CMP. For such students it provides an introduction to the mathematics of counting and arrangements, a further development of the theory and practice of calculus, an introduction to linear algebra and its computing applications and a further development of the principles and computing applications of probability theory. 3D Vectors and complex numbers are also studied. More...
GRAPHICS I	CMPC2G04	20
This module covers the basics of computer graphics for all computer scientists and concentrates on two-dimensional and three-dimensional graphics fundamentals. It puts an emphasis on 2D graphics, algorithms, interaction and OpenGL. Other topics covered include fonts, algorithms for line drawing, curves, clipping and colour. Ability to program is a pre-requisite. An introduction to C++ will be presented as part of the module. More...
GRAPHICS II	CMPC3G91	20
This module introduces the fundamentals of 3D transformations and viewing using OpenGL. It teaches the theory and implementation of fundamental visibility determination algorithms and techniques for lighting, shading and anti-aliasing. Issues involved with modern high performance graphics processor are also considered. More...
INFORMATION RETRIEVAL	CMPC3M03	20
The module explores the development of Information Retrieval technologies, which have been driven by large increases in on-line documents and the Internet search engines. The main topics covered include information retrieval models and architecture, Web-based retrieval, multimedia retrieval, common NLP techniques and their role in IR. Previous experience of a high level programming language is required, and either CMPS2B23 or CMPS2B26 are desirable pre-requisites. More...
INTRODUCTION TO COMPUTATIONAL BIOLOGY	CMPC2B06	20
Computational biology is one of the great growth areas of both computing sciences and biology due to the development of robotic systems that are able churn out vast amounts of biological data. The challenge computational biologists' face involves turning this data into understanding. This data is often in the form of DNA, RNA or protein sequence. Although an introduction to the basics of molecular biology will be given, the module will mainly focus on the computational methods used in computational biology and bioinformatics. Topics will include sequence analysis, structural genomics and protein modelling, phylogenetics and evolution, and biological networks. Lecturers will highlight the relevance of the material to cutting-edge research. More...
INTRODUCTION TO MEDICAL PHYSICS	SCI-2P19	10
For students not studying this module in their first year. The module gives an overview of the role physics plays in medicine, covering three of the core disciplines of medical physics: Diagnostic and therapeutic radiological physics and medical nuclear physics. As well as a series of lectures, a number of field trips to the Norfolk and Norwich University Hospital enables students to gain an insight into routine work and clinical research undertaken by medical physicists.
MACHINE LEARNING	CMPC3A01	20
This module covers the core topics that dominate machine learning research: classification, clustering and reinforcement learning. We describe a variety of classification algorithms (e.g. Neural Networks, Decision Trees and Learning Classifier Systems) and clustering algorithms (e.g. k-NN, PAM and BIRCH) and discuss the practical implications of their application to real world problems. We then introduce a range of popular techniques used in reinforcement learning and describe their application to control problems such as maze solving. The module will adopt a practical approach by considering a number of case studies drawn from current research being conducted in CMP in the fields of data mining, computer vision and speech processing. More...
NETWORKS	CMPC3M06	20
This module introduces the important concepts in data transmission and computer network design, implementation and management. Architectures and protocols for both local and wide-area networks are studied in detail with an emphasis on performance evaluation and real-time use. An emphasis is placed on issues concerned with real-time delivery of data and maintaining quality of service, for example through study of applications such as voice over IP. More...
PHYSICS OF MUSIC	SCI-2P15	10
This module explores the physics behind the generation and reception of music. We begin by developing some of the essential physics of wave motion and defining sound measurement terms. This equips us to analyse the physics of stringed instruments (bowed, plucked and struck), woodwind instruments, brass instruments, percussion instruments and the acoustics of singing. We also look at tuning systems, human hearing, and the physics of sound in rooms. Lab-classes include an introduction to MATLAB to enable you to record and analyse the sound of your own instrument, which constitutes the coursework. A-level standard of mathematics is preferred, but anyone without this level who is prepared to work a little to enhance their understanding of mathematics in one or two areas will be able to take this module.
SOFTWARE ENGINEERING II	CMPC3M08	20
Using data-centric software engineering principles, this module explores the development of distributed, industrial-strength information systems for Web-based implementations. Topics include dynamic object-oriented system design, the use of persistent objects with Relational databases, business models, business objects, and the practical design and implementation for an architecture n-tier, server-based, systems environment. The use of these techniques, for both e-Commerce and other systems, will be discussed. Coursework will concentrate on the practical use of Java Enterprise Edition version 5 (Java EE 5)-based techniques. Confidence in Java programming language skills and knowledge of Java SE 5 enhancements are pre-requisites. More...
SOUND AND IMAGE I	CMPE2I06	20
There has recently been a huge growth in the power and sophistication of tools that enable people to manipulate images and sounds on computers, and the techniques underlying these tools are also key for the development of artificial intelligence. In this module, we study the nature of audio and video signals from devices such as cameras and microphones and how they are captured and represented on a computer. This includes the coverage of essential ideas of topics such as sampling, time, spatial and frequency domains, filtering, Fourier representation etc. and practical work (using MATLAB) on processing sounds and images to e.g. produce effects, extract information from, or recognize a sound or an image. More...
SOUND AND IMAGE II	CMPE3I07	20
This module continues the exploration of computer processing of sound and image signals begun in Sound and Image I. In the “sound” component, we focus on speech processing, a technology that has already had a huge impact and holds great promise for the future. We cover: 1) speech-coding, which enables us to understand how one of the most significant technologies of recent times (the mobile telephone) is able to transmit speech at a low data-rate; 2) speech recognition, which is now becoming commonplace in interactive voice systems; and 3) speech synthesis. In the “image” component, we focus on the analysis of image signals and learn how to apply advanced filtering and enhancement techniques to images to restore them, and the basics of computer vision systems. These concepts are re-enforced with practical coursework, which gives students hands-on experience of processing audio and video signals. More...
SYSTEMS ANALYSIS	CMPC2B05	20
This module considers various activities associated with the development of all types of computer based information systems including project management, feasibility, investigation, analysis, logical and physical design, and the links to file design, software design, and user interface design. It makes use of a number of analysis and design tools and techniques in order to produce readable system specifications. Students are introduced to a number of development methods including structured, object oriented, soft systems, participative, iterative and rapid approaches. More...
SYSTEMS ENGINEERING	CMPC3B10	20
This module draws together a wide range of material and considers it in the context of developing modern large-scale computer systems. Topics such as Outsourcing, Process Improvement, System Failure, Project Management, Configuration Management, Maintainability, Legacy Systems and Re-engineering, Acceptance and Performance Testing, Metrics and Human Factors are covered in this module. The module is supported by a series of industrial case studies and includes speakers from industry. More...

Free Choice Study (20 credits)

Students will select modules worth 20 credits from the course catalogue with the approval of their School

Disclaimer

Whilst the University will make every effort to offer the modules listed, changes may sometimes be made arising from the annual monitoring, review and update of modules and regular (five-yearly) review of course programmes. Where this activity leads to significant (but not minor) changes to programmes and their constituent modules, there will normally be prior consultation of students and others. It is also possible that the University may not be able to offer a module for reasons outside of its control, such as the illness of a member of staff or sabbatical leave. Where this is the case, the University will endeavour to inform students.

Year In Industry

Completion of a Year in Industry programme will ensure you graduate with relevant work experience, putting you one step ahead of other students. This exciting degree programme provides you with this opportunity.

There is no greater asset in today’s competitive job market than relevant work experience. A Year in Industry will give you first-hand knowledge of not only the mechanics of how your chosen field operates but it will also greatly improve your chances of progressing within that sector as you seal valuable contacts and insight. These courses will also enhance your studies as theory is transformed into reality in a context governed by very real, time and financial constraints.

Our Industrial Links

We have well-established commercial connections throughout the UK and beyond and can help you to identify and compete for appropriate industrial opportunities. Recent placement partners in the School have included: Aviva, Antech, Money Facts, Bartram Mowers, BSkyB, Glue4. Other suitable placements may be found at; Bloomberg, British Telecom, Hewlett Packard, IBM, Intel, Logica or Microsoft.

Financial Benefits

A big attraction to this type of course, apart from the enhanced career prospects, is that students will pay much reduced tuition fees for that year (see fees and funding tab). There is also a realistic chance of being paid by the placement provider during the year which is a great way to help fund your continued studies.

For the latest on financial arrangements for our Year in Industry students please visit the UEA Finance webpage.

How it Works

The Year in Industry BSc degree programmes are four years in length with the work placement taking place during the third year. They are a minimum of nine months full-time employment and a maximum of 14 months.

Throughout the work placement, you keep in close contact with an assigned mentor at UEA and your mentor will also visit you at least once during the year. You will also be supported by an industrial supervisor.

We expect students to seek their own work placements, although the School has industrial collaborators aplenty to help you with your choice. Not only will this ensure that you work within your preferred field of computing sciences, it will also provide you with the essential job-hunting skills you will require after graduation. We will, of course, offer our guidance whilst students are identifying and negotiating placement opportunities

Please note that we cannot guarantee any student a work placement as this decision rests with potential employers and students will be expected to source these placements themselves.

For further information, please contact: Dr Mark Fisher, Year in Industry Co-ordinator, e-mail: Mark.Fisher@uea.ac.uk

Entry Requirements

Qualification:: BTEC National Diploma: DDM
A Level:: ABB
International Baccalaureate:: 32 points overall inc. 3 HL subjects at Grade 6
Scottish Highers:: AABBB
Scottish Advanced Highers:: ABB
Irish Leaving Certificate:: AABBBB
Access Course:: See below
European Baccalaureate:: 75% overall

Students for whom English is a Foreign language

We welcome applications from students from all academic backgrounds. We require evidence of proficiency in English (including writing, speaking, listening and reading). Recognised English Language qualifications include:

IELTS: 6. overall (minimum 5.5 in any component)
TOEFL: Internet-based score of 78 overall (minimum 20 in Speaking component, 17 in Writing and Listening components and 18 in Reading components.
PTE: 55 overall (minimum 51 in any component).

If you do not meet the University's entry requirements, our INTO Language Learning Centre offers a range of university preparation courses to help you develop the high level of academic and English skills necessary for successful undergraduate study.

Interviews

The majority of candidates will not be called for an interview. However, for some students an interview will be requested. These are normally quite informal and generally cover topics such as your current studies, reasons for choosing the course and your personal interests and extra-curricular activities.

Gap Year

We welcome applications from students who have already taken or intend to take a gap year, believing that a year between school and university can be of substantial benefit. You are advised to indicate your reason for wishing to defer entry and may wish to contact the appropriate Admissions Office directly to discuss this further.

Special Entry Requirements

We ask our applicants to have at least one of the following A Levels (or equivalent): Mathematics, Physics, Chemistry, Biology, Computing, Electronics or Economics.

General Studies and Critical Thinking are not accepted.

Intakes

The School's annual intake is in September of each year.

Alternative Qualifications

We encourage you to apply if you have alternative qualifications equivalent to our stated entry requirement. Please contact us for further information.

Pass the Access to HE Diploma with Distinction in 36 credits at Level 3 and Merit in 9 Level 3 credits, including 12 Level 3 credits in either Mathematics, Science or Economics related subjects.

GCSE Offer

Students are required to have Mathematics at minimum of Grade B and English Language at minimum of Grade C or above at GCSE Level.

Fees and Funding

Undergraduate University Fees

We are committed to ensuring that Tuition Fees do not act as a barrier to those aspiring to come to a world leading university and have developed a funding package to reward those with excellent qualifications and assist those from lower income backgrounds. Full time UK/EU students starting an undergraduate degree course in 2013 will be charged a tuition fee of £9,000. The level of fee may be subject to yearly increases. Full time International students starting an undergraduate degree course in 2013 will be charged a tuition fee of £14,400. The level of fee may be subject to yearly increases.

Year in Industry Fees

For Home/EU students opting for Year in Industry the tuition fee is currently £1,250. The Year in Industry tuition fee will be subject to an annual increase. International Students are required to pay 25% of their annual tuition fee to UEA during their year in Industry and will be calculated based on the current tuition fee for that year.

Scholarships and Bursaries

Home/EU - The University of East Anglia offers a range of Bursaries and Scholarships. To check if you are eligible please visit http://www.uea.ac.uk/study/undergraduate/finance/university-financial-support

International Students - The University offers around £1 million of Scholarships each year to support International students in their studies. Scholarships are normally awarded to students on the basis of academic merit and are usually for the duration of the period of study. Our University international pages gives you more details about preparation for studying with us, including Fees and Funding http://www.uea.ac.uk/international

How to Apply

Applications need to be made via the Universities Colleges and Admissions Services (UCAS), using the UCAS Apply option.

UCAS Apply is a secure online application system that allows you to apply for full-time Undergraduate courses at universities and colleges in the United Kingdom. It is made up of different sections that you need to complete. Your application does not have to be completed all at once. The system allows you to leave a section partially completed so you can return to it later and add to or edit any information you have entered. Once your application is complete, it must be sent to UCAS so that they can process it and send it to your chosen universities and colleges.

The UCAS code name and number for the University of East Anglia is EANGL E14.

Further Information

If you would like to discuss your individual circumstances with the Admissions Office prior to applying please do contact us:

Undergraduate Admissions Office

Tel: +44 (0)1603 591515
Email: admissions@uea.ac.uk

request a copy of our latest prospectus and subject brochures
get access to exclusive information personalised to your interests
keep up to date with news and events at UEA.

International candidates are also actively encouraged to access the University's International webpages.