MNatSci Natural Sciences

Key details

MNATSCI NATURAL SCIENCES

Start Year

2023

Attendance

Full Time

Award

Degree of Master of Natural Sciences

UCAS course code

CGF0

Entry Requirements

A*AA (specific subject requirements apply)

Duration (years)

Biology alone will not beat cancer; environmentalists alone will not mitigate global warming: scientific advances are forged through shared knowledge and collaboration. By studying Natural Sciences, you’ll gain an appreciation of complex scientific concepts, and be able to approach them from more than one angle.

Our radically interdisciplinary Natural Sciences programme gives you the opportunity to create your own unique degree, crossing conventional boundaries and tailoring your learning to suit your interests from across the sciences. You could study any combination of biology, chemistry, computing, environmental sciences, mathematics and physics, taking at least two subjects through to Master’s level, with knowledge from one complementing the other.

The Faculty of Science is based at the heart of Norwich Research Park, so whichever subjects you choose, you’ll be learning at the forefront of scientific advances, with cutting-edge work driving our teaching. Because of this, graduates from our Natural Sciences degrees are highly employable.

About

Our Natural Sciences integrated Master’s course is ideal if you wish to study more than one area of science while retaining a larger degree of flexibility than traditional joint degrees allow. You’ll study modules from a minimum of two of the main disciplines: biology, chemistry, computing, environmental sciences, mathematics and physics. And you’ll have the opportunity to study specialist topics as your degree programme develops. Whichever subjects you choose, you will be learning at the forefront of your chosen disciplines with our stimulating, research-led teaching programme.

Our programme will give you an appreciation of complex concepts from across contemporary science. To give you an example: you could find yourself examining the biological complexities of how a virus spreads through a population, along with the computational techniques necessary to predict and illustrate it.

You’ll experience what is required of a skilled scientist: from the deliberation needed to design an experiment, including consideration of the results, to the excitement of discovering something new.

This highly competitive degree provides you with vital knowledge of several scientific disciplines, and its flexibility allows you to direct your learning around your own interests or career goals.

You’ll acquire technical skills and subject-specific knowledge as well as transferable skills desired by employers, including high levels of literacy and numeracy, data collection, collation and management, understanding and analysing complex systems, devising strategies of intervention, critical thinking, time management, organisational and analytical skills, teamwork and communication skills.

In your final year, you’ll specialise in at least two of the subjects, and you’ll complete a Master’s-level independent research project, with academic supervision.

September 2023 opportunities. Discover more

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Important Information

Whilst the University will make every effort to offer the courses listed, changes may sometimes be made arising from the regular review of course programmes. Where this activity leads to significant (but not minor) changes to programmes, there will normally be prior consultation of students and others. Changes may for example consist of variations to the content and method of delivery of programmes, courses and other services, to discontinue programmes, courses and other services and to merge or combine programmes or courses. The University will endeavour to keep such changes to a minimum, and will inform students.

Assessment for Year 1

We use a variety of assessment methods across the different modules, ranging from 100% coursework to 100% examination.

Coursework assessment methods include course tests, problem sheets, laboratory reports, field exercises, field notebooks, literature reviews, essays and seminar presentations. Skills-based modules are assessed by 100% coursework.

Structure

This four-year course is made up of optional modules from across the Faculty of Science. It will give you the opportunity to develop your existing scientific knowledge, while discovering new avenues of scientific study.

Throughout your degree, you’ll have the chance to choose from a diverse range of modules from science schools across the Faculty, covering topics from artificial intelligence, to infection, to quantum mechanics and symmetry.

Your personal academic adviser will support you in choosing the best modules for you. The adviser is an academic in your main area of interest, who will help you make the right choices for your chosen scientific path. This interaction starts even before you arrive at UEA, with online discussions to choose your first year modules.

Teaching and Learning

You’ll learn from academics working at the forefront of their respective fields. The Faculty of Science is an integral partner of the Norwich Research Park, so you can be sure you’ll be learning within a cutting-edge research environment, where you’ll benefit from constant exposure to the very latest scientific developments.

The teaching will include a mixture of lectures, small-group tutorials, workshops, laboratories, live online sessions and pre-recorded online material, depending on your areas of interest. In all the teaching sessions, you will be learning alongside students in that discipline, ensuring that you are being taught at the same level as a more specialised student.

As well as being taught by our world-class lecturers, you’ll be assigned a personal academic adviser, who will help you tailor your choices from across the sciences, ensuring you create a degree that ignites your passion and crosses conventional boundaries. We’ll also provide you with a high level of academic and pastoral care.

Independent study

You’ll have plenty of opportunities for independent study using our state-of-the-art university library.

Your independent study will, of course, be best exemplified by your final year project, which we encourage you to deliver as independently as possible.

September 2023 opportunities. Discover more

Open Days

Assessment for Year 2

We use a variety of assessment methods across the different modules, ranging from 100% coursework to 100% examination.

Structure

In the second and third years, you will choose modules to build on your knowledge from the previous year, keeping your choices broad or narrowing it down towards a few areas that interest you most. There is also an opportunity to take a first year module, to extend your knowledge to a new area.

Teaching and Learning

Independent study

You’ll have plenty of opportunities for independent study using our state-of-the-art university library.

Your independent study will, of course, be best exemplified by your final year project, which we encourage you to deliver as independently as possible.

September 2023 opportunities. Discover more

Open Days

Assessment for Year 3

We use a variety of assessment methods across the different modules, ranging from 100% coursework to 100% examination.

Structure

Teaching and Learning

Independent study

You’ll have plenty of opportunities for independent study using our state-of-the-art university library.

Your independent study will, of course, be best exemplified by your final year project, which we encourage you to deliver as independently as possible.

September 2023 opportunities. Discover more

Open Days

Assessment for Year 4

We use a variety of assessment methods across the different modules, ranging from 100% coursework to 100% examination.

You will also undertake a final year project, which will include a substantial piece of written research work and will count for 50% of your final year mark.

Structure

In your final year of study, you’ll take at least two subjects through to Master’s level, and you will also undertake a substantial research project which will reflect your own scientific interests, supervised by an academic working in the same research area.

Teaching and Learning

Independent study

You’ll have plenty of opportunities for independent study using our state-of-the-art university library.

Your independent study will, of course, be best exemplified by your final year project, which we encourage you to deliver as independently as possible.

September 2023 opportunities. Discover more

Open Days

Students must select 120 credits of modules in their first year. There should be an equal balance of module credits across both semesters, with 60 credits in semester one (SEM1) and 60 credits in semester two (SEM2). This balance can be achieved by selecting the same number of credits from both Options Range A and Options Range B, with the remainder from Options Range C. Students are required to take at least 100 credits each from two of the following major subjects by the end of their final year: Biology, Chemistry, Computing, Environmental Sciences, Mathematics and Physics. Students without A-level Maths must select a module containing basic Maths. Eligible modules are BIO-4008Y, CHE-4002A, CMP-4004Y, ENV-4013Y or ENV-4014Y

Assessment for Year 1

We use a variety of assessment methods across the different modules, ranging from 100% coursework to 100% examination.

Compulsory Modules

INTERDISCIPLINARY RESEARCH AND SCIENCE COMMUNICATION

Code NAT-4004Y

Credits 0

This zero-credit module is compulsory for all Natural Sciences students, and only available to NAT students. It includes essential study skills and exposes the students to a variety of topics in interdisciplinary research, connecting them to the modules they are taking in the different Schools in SCI. Activities are spread throughout the two semesters. The module will be assessed in a pass/fail basis on a piece of science communication of the student’s choice.

Optional A Modules

(0-60 credits)

BIODIVERSITY

Code BIO-4001A

Credits 20

This module explores life on Earth. You will be introduced to the major groups of microorganisms, plants and animals. You will explore the evolutionary relationships that link the major groups and discover the immense biodiversity of living organisms. Central to this evolutionary path is how microorganisms, plants and animal invaded the land and coped with limited water. You will study this subject through lectures, workshops, laboratory-based practical classes and field trips. You will gain practical experience handling a wide range of organisms and learn how to report experimental work that you carry out. A key part of this module is the production of a learning portfolio which will help you to develop independent study skills in relation to the topic of the module.

MOLECULAR BIOLOGY AND GENETICS

Code BIO-4018A

Credits 20

This module explores how information is stored in DNA, how it is expressed, copied and repaired, and how DNA is transmitted between generations. It has significant focus on the application of molecular biological and genetics knowledge, including animal, plant and microbial biotechnology and synthetic biology.

CHEMISTRY SKILLS A

Code CHE-4002A

Credits 20

This is the first of two modules which cover core chemistry skills in the first year. In the laboratory, you will cover experimental aspects of analytical and inorganic chemistry, linked to the modules CHE-4501A and CHE-4301A. In lectures, you will develop mathematical skills relevant to the understanding of chemical concepts and you will use spreadsheets for analysing and presenting data.

BONDING, STRUCTURE & PERIODICITY

Code CHE-4301A

Credits 20

After an introduction to chemical bonding, atomic and molecular structure and chemical principles, this module will provide you with an introduction to the structures, properties and reactivities of molecules and ionic solids. Emphasis will be placed on the relationships between chemical bonding and the structures and properties of molecules. The lectures of this module are supported and illustrated by the bonding, structure and periodicity experiments of the first-year practical modules, Chemistry Skills A or Research Skills in Biochemistry.

ANALYTICAL CHEMISTRY

Code CHE-4501A

Credits 20

Introducing important concepts in analytical chemistry, this module covers a range of qualitative and quantitative analytical techniques that underpin more complex instrumental analytical methodologies. Exploring these techniques, you will learn how to apply them to ‘real-life’ analytical problems.

WEB-BASED PROGRAMMING

Code CMP-4011A

Credits 20

An understanding of the underlying mechanisms of the technologies used in the Internet and World Wide Web is essential for any Computing Science student. In this module you will be introduced to some of the tools and technologies used for web development. You will learn how to build an effective web application using the current industry standard Web technologies, including HTML, CSS and JavaScript. You will learn how to handle Web requests and implement backend server. In the latter part of the module you will master these technologies and undertake a practical approach to exploring them. You will also learn Web security issues along the way and able to apply good practices in your work.

GLOBAL ENVIRONMENTAL CHALLENGES

Code ENV-4001A

Credits 20

What are the most pressing environmental challenges facing the world today? How do we understand these problems through cutting-edge environmental science research? What are the possibilities for building sustainable solutions to address them in policy and society? In this module, you will tackle these questions by taking an interdisciplinary approach to consider challenges relating to climate change, biodiversity, water resources, natural hazards, and technological risks. In doing so you will gain an insight into environmental science research ‘in action’ and develop essential academic study skills needed to explore these issues.

UNDERSTANDING THE DYNAMIC PLANET

Code ENV-4005A

Credits 20

Understanding of natural systems is underpinned by physical laws and processes. You will explore the energy, mechanics, and physical properties of Earth materials and their relevance to environmental science using examples from across the Earth's differing systems. The formation, subsequent evolution and current state of our planet are considered through its structure and behaviour - from the planetary interior to the dynamic surface and into the atmosphere. You will study Plate Tectonics to explain Earth's physiographic features - such as mountain belts and volcanoes - and how the processes of erosion and deposition modify them. The distribution of land masses is tied to global patterns of rock, ice and soil distribution and to atmospheric and ocean circulation. You will also explore geological time - the 4.6 billion year record of changing conditions on the planet - and how geological maps can be used to understand Earth history. This course provides you with an introduction to geological materials - rocks, minerals and sediments - and to geological resources and natural hazards.

MATHEMATICAL SKILLS

Code MTHA4001A

Credits 20

The module provides an introduction to various fundamental mathematical concepts and techniques that you will need to study more advanced mathematics later in your degree. You will gain a thorough introduction to some systems of numbers commonly found in Mathematics: natural numbers, integers, rational numbers, modular arithmetic. You will also learn about common set-theoretic notation and terminology, and a precise language with which to talk about functions. There is emphasis on precise definitions of concepts and careful proofs of results, which will prepare you for doing the same in all the other pure mathematics modules. You will study different techniques of mathematical proof, including: proof by induction, direct proofs, proof by contradiction, contrapositive statements, equivalent statements and the role of examples and counterexamples. In addition, you will also learn how to produce mathematical documents using a typesetting system called “LaTeX”, and how to solve mathematical problems computationally using both symbolic algebra software and Excel.

SEQUENCES, SERIES AND LINEAR EQUATIONS

Code MTHA4003A

Credits 20

This module provides an introduction to two key areas of Pure Mathematics: algebra and real analysis, both of which will be needed as a foundation for further study in your degree. In algebra, we start by considering linear equations. This module will provide you with a thorough introduction and develop this theory from first principles. You will learn about the theory of matrices, mainly (though not exclusively) over the real numbers. You will study: matrix operations; the relationship between matrices and systems of linear equations; how determinants can help tell whether a system of equations has just one solution; eigenvalues and eigenvectors, which give directions where a matrix behaves just as a contraction or expansion; and geometric interpretations of all these. In real analysis, we will explore the mathematical notion of a limit. You will see the precise definition of the limit of a sequence of real numbers, and learn how to prove that a sequence converges to a limit. After studying limits of infinite sequences, you will move on to studying series, which capture the notion of an infinite sum, and learn techniques to prove that a series converges.

CALCULUS

Code MTHA4008A

Credits 20

Calculus is the mathematical study of rates of change. It underpins much of applied mathematics, since we are often interested in determining how quickly things will change, whether that is looking at changes in space or in time. You will start this module by studying complex numbers and vectors. (These topics are not strictly calculus but will be needed in calculus later on.) You will then study differentiation – how to determine the rate of change of one variable or function as another variable changes. You will meet the formal definition of the derivative, and discover how to differentiate from first principles, before learning various rules and techniques for differentiating more complex functions. You will also learn about applications to curve sketching and power series. Next you will study integration (the inverse of differentiation), learning various techniques, including substitution and integration by parts, and considering applications to finding areas and arc lengths. You will then learn about methods for solving first and second-order ordinary differential equations. Techniques covered here include reduction of order. and integrating factors. You will learn how to use the computer program Maple to solve differential equations numerically.

GEOPHYSICS AND ASTROPHYSICS

Code PHY-4003A

Credits 20

In this module, you will learn about the methods used to model the physics of the Earth and Universe. You will explore the energy, mechanics, and physical processes underpinning Earth's systems. This includes the study of its formation, subsequent evolution and current state through the understanding of its structure and behaviour - from our planet's interior to the dynamic surface and into the atmosphere. In the second part of this module, you will study aspects of astrophysics including the history of astrophysics, radiation, matter, gravitation, astrophysical measurements, spectroscopy, stars and some aspects of cosmology. You will learn to predict differences between idealised physics and real life situations. You’ll also improve your skills in problem solving, written communication, information retrieval, poster design, information technology, numeracy and calculations, time management and organisation.

ELECTROMAGNETISM AND WAVES

Code PHY-4005A

Credits 20

You will be introduced to the fundamental theory of electricity and magnetism: charges, currents and electric and magnetic forces. You will also learn the essential theory of wave phenomena, including mechanical waves propagating in media, electromagnetic waves, and elementary optics.

Optional B Modules

(0-60 credits)

EVOLUTION, BEHAVIOUR AND ECOLOGY

Code BIO-4002B

Credits 20

Why do trees grow tall? Why do male birds have long bright feathers? Why do people cooperate? Why does sex exist? Why do we grow old and die? These and other questions in biology can be understood if we learn how to think in terms of natural selection and adaptation. This module introduces the main concepts in evolutionary theory, from the original ideas introduced by Darwin to the modern developments, and uses these concepts to understand a wide range of topics in behaviour and ecology. We start from evolution and discuss how Darwin arrived at the idea of natural selection, its critiques and how to address them; we then study the basics of Mendelian genetics and population genetics and learn how to check if a population is evolving’ we discuss adaptation and optimization in biology; then we move to specific issues like the evolution of reproductive systems and life cycles, the evolution of stable sex-ratios and coevolution between species; we discuss the concept of selfish genes and how it helps us think in terms of adaptation; we study the methods used to understand long-term evolution and speciation; and we conclude the first part with ideas from evolutionary medicine to understand why we get sick, and human evolution and social behaviour. In the second part of the module we focus to ecology: we discuss the general concepts of abiotic limits, resources and models of intraspecific competition and logistic growth; we learn the basic concepts of demography and population growth, interspecific competition, predation, predator-prey dynamics, and we discuss at length mutualism and cooperation in nature; finally we talk about the nature of the English countryside and issues in conservation biology and ecosystem services. In the third part we focus on behaviour: after a general introduction on the key concepts in the study of animal behaviour we discuss cooperation among non-kin and the concept of kin selection and kin conflict; we review animal communication and models of sexual selection and sexual conflict.

CELL BIOLOGY AND PHYSIOLOGY

Code BIO-4015B

Credits 20

This module will provide an understanding of the key aspects of cell biology and how these relate to the physiology of living systems. It will highlight how these principles are key to understanding some of the physiological processes, as well as the central role of homeostasis in human physiology. It will also explore the function of some of the major organ systems of the human body.

BIOCHEMISTRY AND CELL BIOLOGY

Code BIO-4016B

Credits 20

This module will provide an introduction to fundamental aspects of biochemistry and cell biology. The essential roles played by proteins and enzymes in signalling, transport and metabolism will be considered in terms of their structures. You will discover how living cells are visualised and the nature of cell membranes and organelles.

CHEMISTRY SKILLS B

Code CHE-4003B

Credits 20

This is the second of two modules which cover core chemistry skills in the first year. In the laboratory, you will cover experimental aspects of physical and organic chemistry, linked to the modules CHE-4202B and CHE-4101B. In lectures, you will cover statistics as applied to experimental chemistry: error propagation in physical chemistry and physical principles through applied mathematics.

CHEMISTRY OF THE CARBON-BASED COMPOUNDS

Code CHE-4101B

Credits 20

Building on the ideas of atomic structure and periodicity, you will be introduced to the concepts of bonding and hybridisation, conjugation and aromaticity, the mechanistic description of organic reactions, the organic functional groups, the shapes of molecules and stereochemical issues including the concepts of enantiomers, diastereoisomers and racemates. The module also introduces the chemistry of polar multiple bonds, SN1/SN2 and E1/E2 reactions, the addition reactions of alkenes, the electrophilic substitution reactions of aromatic compounds, organic synthesis and spectroscopy including the use of IR, UV and NMR spectroscopy and mass spectrometry to identify the products of organic reactions.

PHYSICAL CHEMISTRY I

Code CHE-4202B

Credits 20

This module introduces students to the major areas of classical physical chemistry: chemical kinetics, chemical thermodynamics, and electrolyte solutions as well as spectroscopy. Chemical kinetics will consider the kinetic theory of gases and the rate of processes, in particular either in the gas phase or in solution. The appropriate theoretical basis for understanding rate measurements will be developed during the course, which will include considerations of the order of reaction, the Arrhenius equation and determination of rate constants. Thermodynamics deals with energy relationships in large assemblies, that is those systems which contain sufficient numbers of molecules for 'bulk' properties to be exhibited and which, are in a state of equilibrium. Properties discussed will include the heat content or enthalpy (H), heat capacity (Cp, Cv), internal energy (U), heat and work. The First Law of Thermodynamics will be introduced, and its significance explained. It is very important that scientists have an understanding of the behaviour of ions in solution, which includes conductivity and ionic mobility. The interaction of radiation with matter is termed spectroscopy. Three main topics will be discussed: (i) ultraviolet/visible (UV / Vis) spectroscopy, in which electrons are moved from one orbital to another orbital; (ii) infrared (vibrational) spectroscopy, a technique which provides important information on the variety of bond types that a molecule can possess; (iii) nuclear magnetic resonance spectroscopy (NMR), which allows 'molecular skeletons' to be identified.

COMPUTING PRINCIPLES

Code CMP-4002B

Credits 20

This module gives a theoretical and practical introduction to key sub-disciplines, and techniques in computing. Topics covered include identifying common patterns of computational organisation, computational building blocks in computer architecture, algorithmic complexity and evaluation. Though the majority of the topics covered are examined from a theoretical standpoint there are opportunities to build physical models to describe theoretical understanding e.g. design and construction of a finite state machine using a breadboard, LED’s, switches and Arduino micro-controller.

PROGRAMMING FOR APPLICATIONS

Code CMP-4009B

Credits 20

You will be introduced to a number of programming concepts at the start of your programming career, using a modern programming language common to many digital industries. We structure learning through lectures, delivering core materials, and tutor supported exercises to reinforce learning, preparing you for programming in your following studies.

DATABASE SYSTEMS

Code CMP-4010B

Credits 20

This module is based on the relational model and will introduce you to important aspects of databases, database manipulation and database management systems. You will explore the tools and methods for database design and manipulation as well as the programming of database applications. You will use a modern relational database management system to gain practical experience. You will also develop programming experience using SQL, and using a high level programming language to write applications that access the database.

SUSTAINABILITY, SOCIETY AND BIODIVERSITY

Code ENV-4006B

Credits 20

Striking a balance between societal development, economic growth and environmental conservation has proven challenging and contentious at many scales and over time. The concept of `sustainable development’ was coined to denote processes aiming to achieve this balance. This module introduces sustainable development, and examines the challenges and opportunities to achieving this, drawing together social and ecological dimensions. Drawing upon the social sciences, this module examines the theory and practice of sustainable development. From an ecological perspective, the module covers a range of concepts relevant to the structure and functioning of the biosphere, and topics ranging from landscape and population ecology to biodiversity conservation. This module is assessed by coursework and an examination.

ATMOSPHERE & OCEANS

Code ENV-4007B

Credits 20

The habitability of planet Earth depends on physical and chemical systems that control everything from the weather and climate to the growth of all living organisms. This module introduces you to some of these key cycles and the ways in which physical and chemical scientists investigate and interpret them. It leads naturally to second and third year study of these systems in more detail, but even if you choose to study other aspects of environmental sciences, a basic knowledge of these systems is central to understanding our planet and how it responds to human pressures. The module is made up of two distinct components. One focuses on the physical study of the environment (Physical Processes: e.g. weather, climate, ocean circulation, etc.) The other focuses on the chemical study (Chemical Processes: weathering, atmospheric pollution, ocean productivity, etc.). Interrelationships between these components are explored throughout. Teaching of this module is through a mix of lectures, laboratory practical classes, workshops and a half-day field trip. This module provides a Basic Chemistry introduction for those students who have little or no background in chemistry prior to joining UEA.

REAL ANALYSIS AND GROUP THEORY

Code MTHA4003B

Credits 20

This module continues the study of real analysis from the previous semester and will introduce you to another important area of pure mathematics – group theory. Real Analysis is fundamental to Mathematics as it is the reason why Calculus works. You will learn about limits of functions and continuity before moving on to study the formal definitions of the derivative and integral of a function, and for what sorts of functions these actually make sense. This then leads to the Fundamental Theorem of Calculus, which proves that integration and differentiation are essentially inverses of each other. Group Theory is the study of symmetry, treated in an abstract way which then allows for application in many situations in Mathematics and beyond. You will start by developing a list of axioms for what a group should be, and then study the implications of these axioms: for example, what one can deduce about the possible sizes of subgroups (Lagrange’s Theorem), how to define functions between groups in sensible way (homomorphisms), when different groups are really the same (isomorphism), and how to use known groups to build new ones (product and quotient groups). Throughout, you will see many examples.

COMPUTATION AND MODELLING

Code MTHA4007B

Credits 20

Computation and modelling are essential skills for the modern mathematician. While many applied problems are amenable to analytic methods, many require some numerical computation to complete the solution. The synthesis of these two approaches can provide deep insight into highly complex mathematical ideas. This module will introduce you to the art of mathematical modelling, and train you in the computer programming skills needed to perform numerical computations. You will be introduced to the Python programming language and study algorithms for problems such as root finding. A particular focus of mathematical modelling is classical mechanics, which describes the motion of solid bodies. Central to this is Newton’s second law of motion, which states that a mass will accelerate at a rate proportional to the force imposed upon it. This leads to an ordinary differential equation to be solved for the velocity and position of the mass. In the simplest cases, the solution can be constructed using analytical methods, but in more complex situations, for example motion under resistance, you will use numerical methods to find the motion of a particle.

PROBABILITY AND MULTIVARIABLE CALCULUS

Code MTHA4008B

Credits 20

The module combines two important topics in preparation for your future studies. Probability is the study of the chance of events occurring. It has important applications to understand the likelihood of multiple events happening together in order to make rational decisions. You will be introduced to Kolmogorov’s modern axiomatic theory of probability and the concept of random variables. You will study both discrete and continuous random variables. Finally, will explore two applications of probability: reliability theory (which looks at the likelihood of the failure of a piece of equipment at some point in the future) and Markov chains (which model how the likelihood of being in different states evolves in time). Multivariable calculus extends concepts of calculus to functions of more than one variable. This leads to the idea of partial derivatives. You will learn how to differentiate functions of more than one variable, and how to do integrals of such functions along curves and over areas. You will also learn how to change coordinates in multiple integrals using Jacobians, and study Green's theorem in the plane.

PROPERTIES OF MATTER

Code PHY-4001B

Credits 20

The module introduces a number of fundamental physical concepts key to understanding the physics of matter and its interaction with electromagnetic radiation. Topics to be covered include atomic physics, spectroscopy, thermodynamics, gas laws, bulk properties, and molecular motion.

Optional C Modules

(0-120 credits)

PHYSICAL AND ANALYTICAL METHODS IN BIOCHEMISTRY

Code BIO-4007Y

Credits 20

To understand Life we have to study and understand the molecular properties of life's components. For any biochemist these are cells, energy, macromolecules, biochemical reactions and transport (of energy or chemical components). The tools we use as scientists in our quest for understanding life are various physical and analytical methods. You will be introduced to the basic principles of thermodynamics, chemical equilibria, electrochemistry, and reaction kinetics. You will conclude the module by having a look at various physical and analytical techniques that are being used in current Biochemistry. This lectures will introduce you and provide you with essential information about some of the physical principles that underpin our understanding of molecular and cellular systems. The complementary seminar series will help to consolidate your understanding through applying this knowledge to selected topics in biochemistry and provide you with the opportunity to develop skills in problem solving, data analysis, scientific writing, and presentation. The module is also enriched with six math workshops. In these workshops you are going to consolidate but also further develop basic and more advanced mathematical skills that directly relate with this module but that will also assist you for the duration of your degree.

SKILLS FOR BIOLOGISTS

Code BIO-4008Y

Credits 20

The aim of the module is to provide a you with a broad range of skills that you will need as biologists and in future employment. You will develop a working knowledge of mathematics and statistics, as well as gain skills relating to information retrieval, structuring writing and arguments, data analysis, team work, presenting work verbally and visually and an appreciation of the role of ethics in science.

BIOLOGICAL CHEMISTRY

Code BIO-4017Y

Credits 20

This module will provide 1st year students with essential information about the physical and chemical principles that underpin our understanding of biochemical systems and cellular metabolism. This module is going to be delivered to 1st year students on the Biological Sciences, Biomedicine and Molecular Biology and Genetics degree programs.

RESEARCH SKILLS IN BIOCHEMISTRY

Code CHE-4602Y

Credits 20

If you are a Biochemistry student, this module will provide you with practical and research skills. In the laboratory, you will experience experimental and computational aspects of different areas of chemistry: organic, inorganic, analytical and physical. The experiments and simulations provide practical chemistry skills, complementing lectures in other first year modules. In seminars and workshops, you will develops skills such as analysing data, using references critically, and presenting results in different formats.

MATHEMATICS FOR COMPUTING A

Code CMP-4004Y

Credits 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 to you.

MATHEMATICS FOR COMPUTING B

Code CMP-4005Y

Credits 20

This module is aimed at students who have an A level grade C or above (or equivalent) in Mathematics. It will provide you with 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, matrices, 3D vectors are introduced, and complex numbers are studied.

PROGRAMMING 1

Code CMP-4008Y

Credits 20

In taking this module you will gain a solid grounding in the essential features of object-oriented programming, using a modern programming language such as Java. The module is designed such that you are not expected to have previously studied programming, although it is recognised that many students taking the module will have done so in some measure.

RESEARCH AND FIELD SKILLS

Code ENV-4004Y

Credits 20

You will gain a range of transferable skills, tools and resources that are widely used in research across the Environmental Sciences and Geography. It aims to provide a broad understanding of the research process through activities that involve formulating research questions, collecting data using appropriate sources and techniques, collating and evaluating information and presenting results. A week-long residential field course, held at Easter and based at Slapton Ley, Devon, applies field, lab and other skills to a variety of environmental science and geography topics. Depending on the size of the cohort, students on selected degree programmes may be offered the option of an alternative field course arrangement.

GEOGRAPHICAL PERSPECTIVES

Code ENV-4010Y

Credits 20

This module provides an introduction and orientation regarding geographical thought, methods and concepts. It begins with an overview of the history and development of the discipline. This leads on to discussion of core concepts such as space, place, scale, systems, nature, landscape and risk. In addition, the methods and different types of evidence used by geographers are introduced. You will be able to demonstrate an appreciation of the diversity of approaches to the generation of geographical knowledge and understanding and the capacity to communicate geographical ideas, principles, and theories effectively and fluently by written, oral and visual means.

QUANTITATIVE SKILLS I

Code ENV-4013Y

Credits 20

We will explore how quantitative skills can solve a range of environmental and geographical problems. We will think critically about numbers in the media and learn how scientists use numbers. Our workshops will focus on the practical use of maths through physical equations and mathematical models. Designed primarily for students who have no AS/ A2 qualification (or equivalent), most of the maths content will be a revision of topics you already know, but may have forgotten. You will also receive statistical training, learning about summarising data using both numerical summaries and graphs, testing hypotheses and carrying out these analyses on computers.

QUANTITATIVE SKILLS II

Code ENV-4014Y

Credits 20

Mathematical and statistical skills are key to all brands of environmental sciences and geography. This module will strengthen your mathematical and statistical skills. It will consolidate your mathematics knowledge from GCSE level and will introduce you to differentiation and integration. You’ll learn to recognise the purpose of simple statistical methods, to choose the appropriate methods to test hypotheses and to summarise data using tables and graphs. You’ll use a computer package for statistical operations. You’ll apply these quantitative skills to contemporary environmental and geographical problems, inspired by research in the School of Environmental Sciences. You’ll be assessed through an online course test and an exam. This module will widen the range of science modules that you can take during your studies in geography and environmental sciences. Upon successful completion of the module, you’ll have acquired skill in applying a range of mathematical and statistical methods to problems in environmental sciences and geography. Recommended if you have: A-level Maths (D or E), AS Maths, A2 Physics (C or better), IB SL Maths (2, 3), IB SL Maths Studies, GCSE Maths (A, A*,7), CHE-0006

MATHEMATICS FOR SCIENTISTS A

Code ENV-4015Y

Credits 20

You will cover differentiation, integration, vectors, partial differentiation, ordinary differential equations, further integrals, power series expansions, complex numbers and statistical methods as part of this module. In addition to the theoretical background there is an emphasis on applied examples. Previous knowledge of calculus is assumed. This module is the first in a series of three maths modules for those across the Faculty of Science that provide a solid undergraduate mathematical training. The follow-on modules are Mathematics for Scientists B and C. Recommended if you have grade A*-C at A-level Mathematics, or equivalent.

LABORATORY AND SKILLS FOR PHYSICS

Code PHY-4005Y

Credits 20

This module consists of practical laboratories and other exercises which are designed to equip physics students with essential skills. Problem solving and creative thinking will be encouraged on this module.

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Important Information

Whilst the University will make every effort to offer the modules listed, changes may sometimes be made arising from the annual monitoring and review of modules. Where this activity leads to significant change to a programme and modules, the University will endeavour to consult with affected students. 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. Availability of optional modules may be restricted owing to timetabling, lack of demand, or limited places. Where this is the case, you will be asked to make alternative module choices and you will be supported during this process.

Students are required to take at least 100 credits each from two of the following major subjects by the end of their final year: Biology, Chemistry, Computing, Environmental Sciences, Mathematics and Physics. At least 100 credits of the modules taken in Year 2 should be at level 5.

Assessment for Year 2

We use a variety of assessment methods across the different modules, ranging from 100% coursework to 100% examination.

Compulsory Modules

Optional A Modules

(100-120 credits)

BIOCHEMISTRY

Code BIO-5002A

Credits 20

This module aims to develop your understanding of contemporary biochemistry, especially in relation to mammalian physiology and metabolism. There will be a particular focus on proteins and their involvement in cellular reactions, bioenergetics and signalling processes.

MOLECULAR BIOLOGY

Code BIO-5003B

Credits 20

You will be given a background to the fundamental principles of molecular biology, in particular the nature of the relationship between genetic information and the synthesis, and three dimensional structures, of macromolecules. You will also gain practical experience of some of the techniques used for the experimental manipulation of genetic material, and the necessary theoretical framework. The module also includes an introduction to bioinformatics, the computer-assisted analysis of DNA and protein sequence information.

HUMAN PHYSIOLOGY

Code BIO-5004A

Credits 20

This module will provide you with an understanding of the themes and principles of physiology and a detailed knowledge of the major human organ systems. An understanding of how disease affects the ability of organ systems to maintain the status quo will be an important part of this course.

CELL BIOLOGY

Code BIO-5005B

Credits 20

This module explores the molecular organisation of cells and the regulation of cellular changes, with some emphasis on medical cell biology. Dynamic properties of cell signalling, growth factor function and aspects of cancer biology and immunology. Regulation of the internal cell environment (information flow, cell growth, division and motility), the relationship of the cell to its extracellular matrix and the determination of cell phenotype. Aspects of cell death, developmental biology, mechanisms of tissue renewal and repair. It is suggested that students taking this module should also take BIO-5003B (Molecular Biology) or BIO-5009A (Genetics).

PLANT BIOLOGY

Code BIO-5006A

Credits 20

The module studies the biochemical, physiological and developmental processes of plants.

EVOLUTIONARY BIOLOGY

Code BIO-5008B

Credits 20

This module investigates the principles of evolutionary biology, covering various sub-disciplines, i.e. adaptive evolution, population ecology, molecular and population genetics, speciation, biogeography, systematics, and finishing with an overview of Biodiversity. This module will enable you to understand, analyse and evaluate the fundamentals of evolutionary biology and be able to synthesise the various components into an overall appreciation of how evolution works. Key topics and recent research will be used to highlight advances in the field and inspire thought. Weekly interactive workshops will explore a number of the conceptual issues in depth through discussions, modelling and problem solving. Although there are no pre-requisites in terms of specific modules, students will need a basic understanding of Evolution and Genetics to undertake this module.

GENETICS

Code BIO-5009A

Credits 20

The aim is to provide you with an appreciation of genetics at a fundamental and molecular level and to demonstrate the importance and utility of genetic studies. Genetics and molecular biology lie at the heart of biological processes, ranging from cancer biology to evolution.

BEHAVIOURAL ECOLOGY

Code BIO-5010B

Credits 20

We will explore how evolution and ecology shape animal behaviour, examining how important traits have evolved to maximise survival and reproduction in the natural environment. Darwinian principles provide the theoretical framework, and we will explore key concepts of selfishness, altruism, conflict, survival, optimality, reproduction, parental care and death. Relevant research will be used to lead our understanding of the ultimate function of key traits. In parallel with the lectures, students design, conduct, analyse and present their own research project, working in a group to collect original data in order to answer a question about the adaptive significance of behaviour.

BIOLOGY IN SOCIETY

Code BIO-5012B

Credits 20

This module will provide you with an opportunity to explore various aspects of biology in society. You will have an opportunity to discuss a number of examples – ranging from the scientific and ethical considerations of genetically modified (GM) crops, stem cell research, and designer babies, to the introduction of non-native species, and whether culling should be used a means of species control. You will critically analyse the way biological science issues are represented in popular literature and various media. What was once viewed as science fiction has sometimes become scientific reality. Conversely, science fiction can often portray science inaccurately. During the module you will research relevant scientific literature, and fictional works, to consider both the scientific and ethical arguments for various developments, and to discover the degree of scientific accuracy represented within examples of science fiction.

FIELD ECOLOGY

Code BIO-5013A

Credits 20

This module aims to introduce you to a wide range of habitats and methods for studying the organisms and natural processes occurring in these habitats. The focus is on identification of species and on formulating and testing hypotheses to investigate interactions between species and their habitats or on examining environmental gradients. The module includes a two week residential field trip to Ireland before the start of the first semester in the autumn term. This module would suit you if you are interested in natural history, geography, ecology and designing and testing scientific hypotheses.

COMMUNITY, ECOSYSTEM AND MACRO-ECOLOGY

Code BIO-5014B

Credits 20

This module introduces you to major concepts and definitions in community ecology, macro-ecology and biogeography. You will use these to explore how communities are structured in relation to local-scale to regional-scale processes, how they function and respond to perturbations at different scales, and result in emergent macro- to global-scale patterns of biodiversity distribution. Throughout the module, there is an emphasis on the relevance of theory and fundamental science to understanding the current environmental and biodiversity crisis. Anthropogenic impacts on natural communities through land-use, species exploitation, non-native species, and climate change, are a recurrent theme underpinning the examples you will draw upon.

MICROBIOLOGY

Code BIO-5015B

Credits 20

A broad module covering all aspects of the biology of microorganisms, providing key knowledge for specialist modules. Detailed description is given about the cell biology of bacteria, fungi and protists together with microbial physiology, genetics and environmental and applied microbiology. The biology of disease-causing microorganisms (bacteria, viruses) and prions is also covered. Practical work provides hands-on experience of important microbiological techniques, and expands on concepts introduced in lectures. The module should appeal to biology students across a wide range of disciplines and interests.

CONSERVATION, ECOLOGY AND BIODIVERSITY IN THE TROPICS (FIELDCOURSE)

Code BIO-5020K

Credits 20

Conservation ecology and biodiversity are central areas of research in the biological sciences and they share many theories, concepts and scientific methods. This module intends to take a practical approach to the commonalities in these areas using a combination of seminar work and fieldwork. The seminars will develop ideas in sub-tropical and tropical biology: students will research issues affecting conservation of biodiversity in the tropics, considering the species ecology and the habitats, threats and challenges. There will be a significant component of small group work and directed, independent learning. The field component of this module will be a two week residential field trip to the tropics, one of two field sites (depending on numbers of students and availability).The field sites are run by expert field ecologists and during the two weeks we will explore the local environment, learn about the ecology of the landscape and about the species that inhabit the area. We will develop and run practical sessions on survey and census techniques, use of technology in modern field biology and the role of protected areas in species conservation. Students will conduct original research on the field trip, informed by prior research at UEA, to gain a deeper understanding of an aspect of tropical biology. There will be an assessed presentation on the field trip and many opportunities to develop the students own interests. All student participants will take an active role in the organisation and running of the module in order to gain project management and field logistics experience. Students will be responsible for the sourcing, storage and transport of field equipment on the way to the field site and of samples on the return to the UK. Students will gain experience of travelling to a remote area and of working through licensing and customs processes. At the end of the module a report is written on the field project in the style of a journal article addressing specific questions in ecology conservation or biodiversity. Throughout the module students will be expected to maintain a modern-media record of their project from the initial desk based work at UEA, through the field component to outcomes and reporting. NOTE: There will be a significant additional cost to this module to cover the costs of transportation and accommodation in the field. Costs will be detailed at an initial meeting for interested students and will be clearly advertised. 2018/19 costs were £1300 per student. Students will need to provide any visas required for entry into the host country, sturdy walking boots and appropriate field clothing. All attendees must ensure that all travel vaccinations etc are in order prior to departure.

DATA SCIENCE FOR BIOLOGISTS

Code BIO-5023Y

Credits 20

This module will teach students the tools they need to use computing and programming to handle biological data. As big data becomes more mainstream across all biological disciplines (from multi-omics to complex ecological datasets), biology students need to have skills in computer programming and data analysis. Here they will learn how to organise and store large data sets, run a data science project, and communicate their findings with visuals and clear insights. This module will be available to students in year 2 (Level 5), and will focus on providing students with the data handling tools to problem solve across a range of biological disciplines.

PARASITE AND PATHOGEN ECOLOGY

Code BIO-5026A

Credits 20

We will explore the relationships between parasites, pathogens, hosts and their environments from both an ecological and evolutionary standpoint. We will help you develop knowledge and understanding of different pathogenic agents (prionic, viral, prokaryotic and eukaryotic) and the diseases they cause. We will engage with current issues surrounding parasite and pathogen biology, exploring zoonotic diseases and why they are increasing in frequency as well as exploring how different social, cultural, environmental, ecological and biological factors can contribute pathogen transmission. In parallel with lectures, there are a range of wet lab and data handling and problem solving sessions.

ORGANIC CHEMISTRY

Code CHE-5101A

Credits 20

This course builds on Chemistry of Carbon-based Compounds (the first year organic chemistry course). You will cover four main topics. The first 'aromaticity' includes benzenoid and hetero-aromatic systems. The second major topic is the organic chemistry of carbonyl compounds. Spectroscopic characterisation of organic compounds is reviewed and the final major topic is 'stereochemistry and mechanisms'. This covers conformational aspects of acyclic and cyclic compounds. Stereoelectronic effects, Neighbouring Group Participation (NGP), Baldwin’s rules, Cram’s rule and cycloaddition reactions are then discussed.

MEDICINAL CHEMISTRY

Code CHE-5150B

Credits 20

Medicinal chemistry is a highly interdisciplinary area, and this module is designed to introduce a variety of topics in the field of medicinal chemistry. Some of the topics that will be discussed in a series of lectures include, molecular and biomolecular interactions, biomolecules: proteins and nucleic acids, phases of drug action, pharmacokinetics, proteins and receptors as drug targets, DNA as a drug target and development of antitumor agents.

PHYSICAL CHEMISTRY II

Code CHE-5201B

Credits 20

The module covers a number of areas of modern physical chemistry which are essential to a proper understanding of the behaviour of chemical systems. These include the second law of thermodynamics and entropy, quantum mechanics, electronic spectroscopy, the thermodynamics of solutions and chemical kinetics of complex reactions. The practical part of the module features experiments highlighting key aspects of the chemistry explored.

INORGANIC CHEMISTRY

Code CHE-5301B

Credits 20

In this module, you’ll study the structure, bonding and reactivity patterns of inorganic compounds. The module is a prerequisite for the 3rd level inorganic course Inorganic Compounds: Structure and Functions. You’ll cover the electronic structure, spectroscopic and magnetic properties of transition metal complexes (ligand field theory), the chemistry of main group clusters, polymers and oligomers, the structures and reactivities of main group and transition metal organometallics, and the application of spectroscopic methods (primarily NMR, MS and IR) to inorganic compounds. You’ll have laboratory classes linked to the lecture topics and so you will need to have completed either of the level 4 practical modules, Chemistry Laboratory (A) or Research Skills in Biochemistry.

POLYMERS AND MATERIALS

Code CHE-5350A

Credits 20

Specialist materials dominate the modern world, and it is our ability as chemists to control their properties. Understanding and controlling material properties is the central theme of this module. In this module you will learn about two key classes of material: polymers and inorganic solids. You'll gain a firm grounding in the specialist methods used to characterise these materials. This will enable you to appreciate the unique properties of these materials, and how they can be controlled. In the practical element of the module, you'll gain skills in synthesising and characterising polymers and inorganic solids. In the polymers thread, you'll begin by gaining an appreciation of the role they play in society and why they are unique. You'll then encounter methods we can use to understand the properties of polymers, and how we can control them. You'll also explore the wide range of mechanisms that can be used to make organic polymers. In the thread focussed on inorganic materials, you'll explore the ionic model for inorganic solids, before gaining an appreciation of the synthesis and characterisation methods that allow access to these materials. You'll then explore the variety of properties that solids can exhibit, including semiconduction and magnetism. This lecture-based content is complemented by the practical component of the course, where you'll gain hands-on experience in both synthesis and characterisation.

INSTRUMENTAL ANALYTICAL CHEMISTRY

Code CHE-5501B

Credits 20

The module covers the theory and practical application of some key instrumental techniques for chemical analysis. Molecular spectroscopy (UV-Vis and fluorescence), chromatography and electroanalytical techniques are the important instrumental methods included. The module also includes laboratory practicals using the instrumental techniques covered during the lectures and therefore reinforcing the more theoretical materials covered. In this module the students will gain skills in sample preparation, using instrumental techniques, data analysis and interpretation, report writing, teamwork, organisation and time management.

BIOPHYSICAL CHEMISTRY

Code CHE-5601A

Credits 20

This module will equip you with an understanding of the principles and techniques used in contemporary biophysical chemistry. You will learn experimental techniques for measuring thermodynamic and kinetic properties of biological molecules. You will gain firm grounding in the physical principles describing those properties and their use to provide quantitative descriptions of those properties. Using predominantly examples from protein biochemistry you will explore three major themes; i) spectroscopic properties of biomolecules, ii) thermodynamic and kinetic properties of proteins and enzymes, and, iii) methods defining biomolecule size and mass. You will benefit from putting your knowledge into practice, communicating your ideas and growing your confidence in quantitative data analysis and problem solving. During laboratory based practical work, you will develop your skills in sample preparation together with the collection and interpretation of spectroscopic data. Your participation in this module will give you the knowledge to appreciate how, and why, biophysical chemistry contributes to advances in medicine, sustainable energy solutions and healthy ageing.

COMPUTER GRAPHICS

Code CMP-5010B

Credits 20

This module will provide you with an introduction to the fundamentals of computer graphics. You will gain a strong foundation in computer graphics, focusing on 3D real-time graphics, algorithms and interaction. You need to have a good background in programming to take this module. OpenGL is used as the graphics API with examples provided in the lectures and supported in the laboratory classes.

SOFTWARE ENGINEERING

Code CMP-5012B

Credits 20

Software Engineering is one of the most essential skills for work in the software development industry. You will gain an understanding of the issues involved in designing and creating software systems from an industry perspective. You will be taught state of the art phased software development methodologies focusing on the activities of initial class model design to actual operational software systems. These activities are complemented with an introduction into software project management and development facilitation.

ARCHITECTURES AND OPERATING SYSTEMS

Code CMP-5013A

Credits 20

Study the organisation of system software and the underlying hardware architecture in modern computer systems. The role of concurrent operation of hardware and software components is emphasised throughout this module. Central concepts are reinforced by practical work in the laboratory. The architectures portion of the module focuses on the components of a processor, including the registers and data path, and you will explore concepts such as instruction fetch cycles, instruction decoding and memory addressing modes. The operating systems component focuses on how the system software manages the competing demands for the system hardware, including memory management and disc and processing scheduling.

DATA STRUCTURES AND ALGORITHMS

Code CMP-5014B

Credits 20

This is a compulsory module for all computing students and builds on programming 2. The purpose of this module is to give the student a solid grounding in the design, analysis and implementation of algorithms and in the efficient implementation of a wide range of important data structures.

PROGRAMMING 2

Code CMP-5015A

Credits 20

This is a compulsory module for all computing students and is a continuation of programming 1. It contains greater breadth and depth and provides students with the range of skills needed for many of their subsequent modules. We introduce C in order to improve your low level understanding of how programming works. We recap Java and deepen your understanding of the language by teaching topics such as nested classes, enumeration, generics, reflection, collections and threaded programming. We also cover C++ and highlight the similarities and differences between languages.

PROGRAMMING FOR NON-SPECIALISTS

Code CMP-5020B

Credits 20

You will be introduced to a number of programming concepts at the start of your programming career, using a modern programming language common to many digital industries, with specific focus on applications within STEM fields. We structure learning through lectures, delivering core materials, and tutor supported exercises to reinforce learning, and to prepare you for programming in your following studies.

ANALOGUE AND DIGITAL ELECTRONICS

Code CMP-5027A

Credits 20

This module gives a practical introduction to analogue and digital electronics. Topics covered include components such as op-amps, transistors, logic gates, flip-flops and registers. You will learn how to design circuits such as amplifiers, oscillators, modulators, combinational and sequential logic and state machines. Much of the time on the module will be spent doing practical work where you will simulate and then construct prototypes circuits of the designs and then test them using a range of lab equipment. You will also design and build your own Printed Circuit Board (PCB).

CONTINGENCIES AND MODELLING

Code CMP-5031B

Credits 20

You’ll gain a good grounding in the mathematical techniques which can be used to model and value cash flows dependent on death, survival or other uncertain risks. You will study the statistics associated with various life assurance contracts and the calculation of their premiums and reserves. You will also develop further your financial modelling skills by focusing on understanding the importance of an audit trail and including good model documentation.

MATHEMATICAL STATISTICS

Code CMP-5034A

Credits 20

This module introduces the essential concepts of mathematical statistics deriving the necessary distribution theory as required. In consequence in addition to ideas of sampling and central limit theorem, it will cover estimation methods and hypothesis testing.

INFORMATION RETRIEVAL

Code CMP-5036A

Credits 20

This module provides a practical introduction to search engines and how the need to provide more relevant and effective results to users has been driven by large increases of online documents. You will practice using multiple Python tools and techniques to learn how to create a basic search engine and then evaluate their effectiveness at returning relevant data to the user. This will involve working in pairs for the first assignment (creating a simple search engine) and then working individually for the second assignment, where you will code a slightly more complex system and perform experiments to prove or disprove each technique and tools usefulness within a search engine. You will then professionally present your findings via a live presentation.

NETWORKS

Code CMP-5037B

Credits 20

This module explores how networks are designed to provide reliable, secure and fast delivery of data from one location to another. A layered approach is taken to simplify design with both the OSI 7-layer reference model and TCP/IP model studied. Many practical applications of networks are studied to put theory into context and this includes Voice over IP, network security and 4G and 5G networks. Lectures each week cover theory and examples or case studies, and are followed by laboratory sessions that involve practical implementation.

TIME SERIES

Code CMP-5042B

Credits 10

This is a module designed to give you the opportunity to apply time series techniques using R. This course will provide students with an understanding of the nature and processes used to analyse time-series data, and being able to confidently understand what trends might exist within a set of data and the complexities of being able to use this information to make predictions or forecasts.

LINEAR REGRESSION USING R

Code CMP-5043B

Credits 10

This is a module designed to give you the opportunity to apply linear regression techniques using R. The aim is to provide an introduction to R and then provide the specifics in linear regression.

EMBEDDED SYSTEMS

Code CMP-5045B

Credits 20

Embedded processors are at the core of a huge range of products e.g. smartphones, watches, cars, medical equipment, etc. As those devices are usually small in size, limited computing and battery resources, the development of embedded system software introduces design and security challenges for developers. This module brings together those fundamental concepts and skills related to the secure embedded software development process.

FOUNDATIONS OF DATA SCIENCE

Code CMP-5046B

Credits 20

This module is designed as an optional module which can be taken by second and third year students within the Science Faculty. You will explore the methodology of Data Science through application of inferential statistical approaches and development of a basic machine learning classification model. You will adopt a programmatic approach to building and applying inferential statistical models in a browser based, interactive coding environment. In terms of data analysis, we will focus on regression and classification algorithms to build prediction models. Through this module, you will gain knowledge of algorithms and methods for data analysis, as well as practical experience programming in Python using popular libraries such as Numpy, Pandas, Polars, Scikit-learn, Matplotlib and Seaborne.

RENEWABLE ENERGY

Code ENG-5002B

Credits 20

This module builds on understanding in wind, tidal and hydroelectric power and introduces theories and principles relating to a variety of renewable energy technologies including solar energy, heat pumps and geothermal sources, fuel cells and the hydrogen economy, biomass energy and anaerobic digestion. You will consider how these various technologies can realistically contribute to the energy mix. You will study the various targets and legislative instruments that are used to control and encourage developments. Students will also apply their knowledge to propose, design and evaluate renewable technology solutions in order to meet performance, cost and emissions reduction targets within the coursework exercise, also involving application of project management and financial project appraisal techniques in a renewable energy context

ENVIRONMENTAL POLITICS AND POLICY MAKING

Code ENV-5002B

Credits 20

The most significant obstacles to problem solving are often political, not scientific or technological. This module examines the emergence and processes of environmental politics. It analyses these from different theoretical perspectives, particularly theories of power and public policy making. The module is focused on contemporary examples of politics and policy making at UK, EU and international levels. The module supports student-led learning by enabling students to select (and develop their own theoretical interpretations of) ‘real world’ examples of politics. Assessment is via seminar slides and a case study essay. The module assumes no prior knowledge of politics.

CLIMATE CHANGE: SCIENCE AND POLICY

Code ENV-5003A

Credits 20

You will develop your skills and understanding in the integrated analysis of global climate change, using perspectives from both the natural sciences and the social sciences. You will gain a grounding in the basics of climate change science, impacts, adaptation, mitigation and their influence on and by policy decisions. This module also offers you a historical perspective on how climate policy has developed, culminating in the December 2015 Paris Agreement. Finally, it considers what will be required to meet the goal of the Paris Agreement to limit global warming to well below 2 °C above pre-industrial levels.

EXPLORING THE EARTH'S SUBSURFACE

Code ENV-5004B

Credits 20

In this module you will learn about the processes that shape the Earth's shallow subsurface, and how to detect and map subsurface structures and resources. Physical properties of solid materials and subsurface fluids will be explored, including how fluid movement affects these properties. Methods to image the subsurface will be introduced using real datasets, collected by the class where possible. We will apply the theory to real-life problems including risk mitigation, engineering and resource exploration. This module will include fieldwork on campus where possible, specialist computer software, and some light mathematical analysis (trigonometry, rearranging linear equations, logarithms).

EXPLORING THE EARTH'S SUBSURFACE WITH FIELDCOURSE

Code ENV-5005K

Credits 20

What lies beneath our feet? This module addresses this question by exploring how wavefields and potential fields are used in geophysics to image the subsurface on scales of metres to kilometres. You’ll study the basic theory, data acquisition and interpretation methods of seismic, electrical, gravity and magnetic surveys. A wide range of applications are covered, including archaeological geophysics, energy resources and geohazards. Highly valued by employers, this module features guest lecturers from industry who explain the latest 'state-of-the-art' applications and give you unique insight into real world situations. Students doing this module are normally expected to have a good mathematical ability, notably in calculus and algebra. This module also includes a one-week field course, currently held in the Lake District during Easter break. The cost of attending the field course is subsidised by the School but students enrolling must commit to paying a sum to cover their attendance.

WEATHER APPLICATIONS

Code ENV-5009B

Credits 20

This module will build upon material covered in Meteorology I, by covering topics such as synoptic meteorology, weather hazards, micro-meteorology, further thermodynamics and weather forecasting. The module includes a major summative coursework assignment based on data collected on a UEA meteorology fieldcourse in a previous year.

WEATHER APPLICATIONS WITH FIELDCOURSE

Code ENV-5010K

Credits 20

Weather is one of the most popular topics of conversation. But how, specifically, does it present risks and opportunities, to people, organisations and to the wider environment? In this module you will develop a clear understanding of these linkages and an evidence base to draw on in future roles in which weather is a factor. You’ll learn how to confidently source a diverse range of real-time weather information and you’ll practice analysing such data, leading subsequently to successful interpretation and effective communication, both written and in front of the camera. You’ll see, first hand, how meteorology depends upon computer systems for the efficient sharing, processing and visualisation of weather information. Being taught by weather practitioners with long experience of providing weather services to users, you will get the inside track on what it’s like to work in weather. Weather Forecasting is one central theme and application which will provide a focus for learning. How are forecasts made and delivered, who uses forecasts and what are their distinctive needs? Success in forecasting depends in part on a good physical understanding of atmospheric processes - through practical work, we’ll study those processes and use real examples of weather systems and events to reinforce the learning. At the end of the module, through an embedded week-long Easter residential fieldcourse, you’ll apply your enhanced process understanding and forecasting knowledge in a hands-on way to design and implement meteorological field experiments, testing hypotheses through the collection and interpretation of field data collected using weather sensors. You’ll write up your choice of fieldcourse experiment for assessment, after first receiving informal feedback on a related poster presentation.

POPULATION ECOLOGY AND MANAGEMENT

Code ENV-5014A

Credits 20

We live in a human dominated era recently designated “the Anthropocene”. Humans harvest more than half of the primary productivity of the planet, many resources are over-exploited or depleted (e.g. fisheries) never before has it been so important to correctly manage natural resources for an exponentially growing human population. It is, thus, fundamental to predict where other species occur and the sizes of their populations (abundance). Population Ecology is an area dedicated to the dynamics of population development. In this module we will look closely at how populations are regulated, from within through density dependent factors and from external density independent factors. We start the module with a global environmental change perspective to the management of populations and the factors that affect the population size. We then extend these ideas to help us understand population properties and processes both intra-specifically and inter-specifically. Finally we examine several management applications where we show that a good understanding of the population modelling is essential to correctly manage natural resources on the planet. Practicals include learning to survey butterflies and birds using citizen science monitoring projects and will be focused on delivering statistical analyses of “Big data” using the open access programme R-studio. The projects will provide a strong training in both subject specific and transferable skills.

OCEAN CIRCULATION

Code ENV-5016A

Credits 20

This module gives you an understanding of the physical processes occurring in the basin-scale ocean environment. We will introduce and discuss large scale global ocean circulation, including gyres, boundary currents and the overturning circulation. Major themes include the interaction between ocean and atmosphere, and the forces which drive ocean circulation. You should be familiar with partial differentiation, integration, handling equations and using calculators. Shelf Sea Dynamics is a natural follow-on module and builds on some of the concepts introduced here. We strongly recommend that you also gain oceanographic fieldwork experience by taking the 20-credit biennial Marine Sciences field course.

SHELF SEA DYNAMICS AND COASTAL PROCESSES

Code ENV-5017B

Credits 20

The shallow shelf seas that surround the continents are the oceans that we most interact with. They contribute a disproportionate amount to global marine primary production and CO2 drawdown into the ocean, and are important economically through commercial fisheries, offshore oil and gas exploration, and renewable energy developments (e.g. offshore wind farms). You will explore the physical processes that occur in shelf seas and coastal waters, their effect on biological, chemical and sedimentary processes, and how they can be harnessed to generate renewable energy. You will develop new skills during this module that will support careers in the offshore oil and gas industry, renewable energy industry, environmental consultancy, government laboratories (e.g. Cefas) and academia. The level of mathematical ability required to take this module is similar to Ocean Circulation and Meteorology I. You should be familiar with radians, rearranging equations and plotting functions.

GLOBAL TECTONICS

Code ENV-5018A

Credits 20

Processes in the Earth’s interior exert a profound influence on all aspects of the Earth’s system, and have done so throughout geological time. This module is designed to explore all aspects of those processes from the creation and destruction of tectonic plates to the structure of the Earth’s interior and the distribution and dissipation of energy within it. This will include: the theory and mechanisms of plate tectonics, the generation of magma and volcanism; the mechanisms behind earthquakes. The geological record of this activity, its evolution and impacts on the Earth will also be discussed.

MARINE SCIENCES FIELDCOURSE

Code ENV-5020K

Credits 20

The first three days of the fieldcourse involve lectures, seminars and practical sessions on physical, chemical and biological oceanographic techniques, as well as analysis of data and planning of field activities. The next five days see you undertake practical activities using oceanographic research ships and laboratory facilities. On the final day, you’ll be involved in data interpretation and group presentations. The number of practical days required will depend on the number of students undertaking the fieldcourse, so the above days are flexible. This module runs every 2 years and only goes ahead if there are sufficient students enrolled. The maximum number of students (28)includes those enrolled on ENV 7030K. Please note that you can only enrol onto this module via an application form from the School (Deadline usually at the end of semester 1 in the previous academic year) and not via the standard module enrolment process. The module runs in the summer prior to the start of the academic year.

HYDROLOGY AND HYDROGEOLOGY

Code ENV-5021A

Credits 20

Hydrology and hydrogeology are Earth Science subjects concerned with the assessment of the natural distribution of water in time and space and the evaluation of human impacts on the water. This module provides an introduction to geological controls on groundwater occurrence, aquifer characteristics, basic principles of groundwater flow, basic hydrochemistry, an introduction to catchment hydrology, hydrological data collection and analysis, runoff generation processes and the principles of rainfall-runoff modelling. Practical classes develop analytical skills in solving problems as well as field skills in pumping test analysis and stream gauging. A field excursion in Norfolk is also offered in this module.

GIS SKILLS FOR PROJECT WORK

Code ENV-5028B

Credits 20

This module builds upon the introduction to GIS provided in the first year Research and Field Skills module, focusing on how you obtain your data, integrate it and then undertake analysis and presentation tasks. ESRI ArcGIS will be the main software used, but the module also offers information on online GIS (ArcGIS Online) as well as scripting tools (Python) and open source software (QGIS) that you may wish to progress in your own time. Teaching will consist of a one-hour lecture and a three-hour practical class each week.

GEOLOGY LAB SKILLS

Code ENV-5029B

Credits 20

Good observational and descriptive skills lie at the heart of many areas of environmental science and you will develop those skills during this module. It is particularly suitable if you are interested in geology and geophysical sciences as you will cover generic geology skills. The module will include: observing, describing and recording the characteristics of geological materials (hand specimen and under microscope); measuring and representing 3d data, and reading geological maps.

GEOLOGY SKILLS

Code ENV-5030B

Credits 20

This module is designed to develop good observational, descriptive and analytical skills and is particularly suitable for students with interest in Geology, Earth and Geophysical Sciences. It will cover generic geological skills, together with some geophysical and physical geography skills that will be of use when carrying out independent projects. The module will include: (i) observing, describing and recording of characteristics of geological materials (minerals, soils, sediments, rocks and fossils) in the field, in hand specimen and under the microscope; (ii) measuring and recording of spatial and 3D structural data on maps, stereographic and rose diagram projections, reading geological maps and basic geological mapping, and (iii) an introduction to applied geophysical techniques. The module includes a week-long residential fieldwork component in the Easter vacation which has an added cost implication in the region of £300. There will be an alternative arrangement for students who for whatever reason are unable to undertake the residential fieldwork. There is a co-requisite or pre-requisite of 20 or more credits from the modules: Earth Surface Processes, Global Tectonics or Exploring the Earth’s Subsurface. Students who have previously taken ENV-5030B Geology Skills, or ENV-5029B Geology Lab Skills cannot take this module. They will, however, have an opportunity to take part in the residential field course.

SEDIMENTOLOGY

Code ENV-5035B

Credits 20

Sediments and sedimentary rocks cover much of the Earth's surface, but how do they get there and what can they tell us? If you are a geologist, geophysicist or environmental scientist with particular interest in physical geography, then this is a key issue that you need to think about. Sediments record the Earth's history of environmental change, a record that started 3.8 billion years ago. Sediments contain the fossil record and host many of the world’s natural resources including water, hydrocarbons, and minerals. In this module, you will discover how sedimentologists decode the wealth of information sediments contain, taught by two practicing sedimentologists who have international research reputations in their respective fields. This module includes the study of modern sediments in a range of environments including rivers, the continental shelf and deep ocean basins. We put particular emphasis on the physical and chemical processes that result in the deposition of different sediment types. We then use this basis to interpret the origin and processes that formed ancient sedimentary rocks. The module emphasises development of practical skills in the laboratory.

CONSTRUCTING HUMAN GEOGRAPHIES

Code ENV-5038A

Credits 20

How can human geography help us understand and address pressing environmental and social problems? This is the central question of the module which affirms the distinctive value and relevance of work in contemporary human geography. Throughout you will explore a wide range of approaches to environmental and social problems in contemporary human geography. You’ll gain a firm grounding in social constructivism which is underlying philosophy of these approaches - at its core social constructivism is about challenging our assumptions, digging deeper to ask why certain problems have emerged, and coming up with new ways of dealing with them. You’ll also learn how to communicate insights from human geography to policy-makers and practitioners, and how to critically evaluate examples of human geographers’ engagements with policy. You’ll begin with the basics of social constructivism, learn why this approach is used by human geographers, and consider the value of this perspective. You’ll then delve deeper, exploring the social construction of a different object or problem each week. Topics covered will include: nature, hazards, alternative economies, and social difference. You’ll practice applying what you’ve learnt to tackling current problems, and learn about how human geographers are making a difference to these issues. You’ll learn through a mixture of lectures, workshops and self-directed study and you’ll be assessed through a written policy brief and reflective report (100%).

AQUATIC BIOGEOCHEMISTRY

Code ENV-5039B

Credits 20

The Earth’s terrestrial and marine water bodies support life and play a major role in regulating the planet’s climate. This module will train you to make accurate measurements of the chemical composition of the aquatic environment. In lectures and in the lab you will explore important chemical interactions between life, fresh and marine waters and climate, looking at nutrient cycles, dissolved oxygen, trace metals, carbonate chemistry and chemical exchange with the atmosphere. Students taking this module are expected to be familiar with basic chemical concepts and molar concentration units. This module makes a good combination with Aquatic Ecology.

SOCIAL RESEARCH SKILLS

Code ENV-5040A

Credits 20

Human geography and the environmental social sciences employ a range of approaches and methods with which to explore their diverse research questions. This module will introduce you to the practice of social science research, including methods that use quantitative (numerical) and qualitative (non-numerical) data. Through a combination of lectures, workshops, and practical activities, you will learn how to design and carry out your own research. By the end of the module you will know how to formulate an interesting research question; how to choose an appropriate method to investigate it; how to ensure that you collect good quality data; how to analyse and interpret your data; and how to present the results of your research. The module is recommended if you intend to use social research methods in your independent dissertation project. In addition to gaining practical research skills, you will develop your ability to critically evaluate research studies that use social science methods. As well as benefiting your academic studies, these analytical and practical research skills are highly valued in many occupational sectors.

EARTH SURFACE PROCESSES

Code ENV-5042A

Credits 20

This module draws upon on a range of scientific disciplines including geomorphology, sedimentology, soil science and eco-geomorphology. The module overviews a variety of Earth’s surface environments and the processes that lead to expression in landforms, soil evolution, sediment accumulation and ultimately, the formation of sedimentary rocks. The environments covered include deep and marginal marine, intertidal, aeolian, glacial and fluvial. The approach will be both descriptive and quantitative, based on understanding of erosion, transport, deposition, accumulation and burial and the evolution of soils. East Anglian case studies will be used to illustrate and explain eco-geomorphology and coastal processes, dovetailed with soil evolution. Geomorphological expression will be linked to sedimentary processes and sedimentary rock. There will be an introduction to the methods and different types of evidence used by geologists, physical geographers and other earth scientists.

WEATHER

Code ENV-5043A

Credits 20

The weather affects everyone and influences decisions that are made continuously around the world. From designing and siting a wind farm to assessing flood risk and public safety, weather plays a vital role. Have you ever wondered what actually causes the weather we experience, for example why large storms are so frequent across north western Europe, especially in Winter? In this module you will learn the fundamentals of the science of meteorology. We will concentrate on the physical processes that underpin the radiation balance, thermodynamics, wind-flow, atmospheric stability, weather systems and the water cycle. We will link these to renewable energy and the weather we experience throughout the Semester. Assessment will be based entirely on a set of practical reports that you will submit, helping you to spread your work evenly through the semester. You will learn how Weather is a rich fusion of descriptive and numerical elements and you will be able to draw effectively on your own skill strengths while practising and developing others, guided by Weatherquest’s Meteorologists.

ENERGY TRANSITIONS

Code ENV-5044B

Credits 20

This module examines the complexities of the transition to low carbon energy systems. It draws on a range of disciplines, theories and perspectives to critically examine many of the key challenges. It begins by exploring how we can understand energy systems and how they differ across space and time. The module draws on historical analyses to understand how energy systems have evolved in the past, as well as examining the different ways in which we can imagine the future of energy. Students will gain an in-depth understanding of the complexities of changing energy systems, enabling them to critically engage with debates around future “energy transitions”, the role that innovation and emergent technologies might play, and the various challenges of shifting towards renewable based energy systems.

COMPLEX FUNCTIONS AND LINEAR ALGEBRA

Code MTHA5003A

Credits 20

This module comprises two distinct parts, building on the Analysis and Algebra streams you studied in first year. Linear Algebra follows on from the study of the concrete examples of vectors and matrices, to the abstract notions of a vector space and linear transformations between them. The power of this abstraction is that it allows the theory to be applied in many more situations: Linear Algebra underpins much of modern mathematics and is used in most sciences. You will learn what an abstract vector space is and its basic properties: in particular, how to make precise the notion of dimension by studying their bases. You will then look at linear transformation between vector spaces, including their kernel and image and the Rank-Nullity Theorem. You will see how, by fixing bases, a linear transformation can be encoded in matrix form, and how changing the bases changes that matrix. This will then allow you to study eigenvectors and the diagonalization of linear transformations. In Analysis, you will cover the basic theory of functions of the complex plane, building on the theory of real functions. As well as being of intrinsic interest, complex functions are important for many applications in applied mathematics and beyond. While continuous complex functions behave in a similar way to real functions, you will learn how differentiability brings surprising extra constraints and rigidity, including the so-called Cauchy–Riemann equations. You will also study how power series can be used to represent functions, making precise the Taylor series seen in Calculus.

COMPLEX INTEGRATION AND RING THEORY

Code MTHA5003B

Credits 20

This module comprises two distinct parts, building on Complex Functions and Group Theory respectively. Complex Integration is a beautiful theory extending integration to complex functions: rather than integrating over an interval of real numbers, you will learn to integrate along a path in the complex plane. The theory you will see often allows these integrals to be done without calculus: instead, the Residue Theorem says it is enough to understand the function at a few specific points (the singularities of the function). This is especially important in applications in Applied Mathematics. This theory also allows you to calculate some real integrals which cannot be computed using real methods alone, as well as infinite series. Along the way, you will also see how Cauchy’s Theorem leads to the result that, in a certain sense, all differentiable complex functions are given by power series – which is not true for real functions. Ring Theory is the study of mathematical structures like the integers, where we have good notions of addition and multiplication (as opposed to a group, where we only have one of these). Similar structures abound in mathematics so it is useful to see how much the theory of the integers can be extended to other rings – for example, factorization into primes, division with remainder and substitution. You will learn the basic theory of rings, including the notion of an ideal in a ring and its quotient ring, and study a variety of examples including polynomial rings.

DIFFERENTIAL EQUATIONS AND APPLIED METHODS

Code MTHA5005A

Credits 20

In applied mathematics, you will often need to solve equations involving derivatives of the unknown function that you are trying to find. Such equations are known as “differential equations”, and you will learn about various techniques for solving them in this module. When the unknown quantity is a function of one variable then the equation is known as an “ordinary differential equation”. While you will already have seen some techniques of solving ordinary differential equations, you will see new techniques such as series solutions and the method of Frobenius. When the unknown quantity is a function more than one variable then the equation is known as a “partial differential equation” and the method of separation of variables will be introduced. Solutions involving Fourier series (representations of functions as infinite series involving trigonometric functions) are also considered. You will encounter a variety of important partial differential equations from applied mathematics, including heat equation, the wave equation, and Laplace’s equation. You will then move on to study two methods that can be used to solve problems that occur in applied mathematics. Fourier transforms can be used to solve ordinary differential equations, partial differential equations, and integral equations. The method of characteristics is a particular technique for solving partial differential equations by converting them to ordinary differential equations. Finally, you will learn about techniques for analysing collections of coupled differential equations known as “dynamical systems”, which describe how certain variables evolve in time. The techniques here will help you analyse and understand the behaviour of nonlinear differential equations and acts as a starting point for the study of chaos.

FLUID FLOW - THEORY AND COMPUTATION

Code MTHA5005B

Credits 20

In this module you will consider how to model the flow of liquids and gases using mathematics. Understanding fluid flows is important for weather predictions, the aerodynamics of air flow round a car, and understanding why planes are able to stay in the air. You will first study the fundamentals of “vector calculus”, which deals with how differentiation can be applied to vectors fields (vectors that vary in space), such as the velocity of a fluid. You will then apply your knowledge of vector calculus to see how we formulate the differential equations that govern fluid flows. You will go on to solve simple fluid-flow problems, such as the determining the rate of flow out of a reservoir. You will then examine how computers can solve differential equations and approximate continuous functions. This will involve studying the underlying algorithms relevant to understanding fluid flow, and also some practical programming using Python to study the motion of systems of vortices through a fluid. In the final part of the module, you will learn about how complex variables and functions can be used to solve problems in inviscid fluid flow, using what is known as “complex potentials”. This represents a nice application of some theory from pure mathematics in an applied mathematics context. The methods you will study can be used, for example, to estimate the lift on an aerofoil.

DIFFERENTIAL EQUATIONS AND LINEAR ALGEBRA

Code MTHB5008A

Credits 20

This module builds on the mathematical fundamentals introduced in year 1 and covers both differential equations and linear algebra. You will develop the mathematical skills needed for the more specialist actuarial modules studied in the rest of your course. In differential equations, you will develop skills for solving both Ordinary Differential Equations and Partial Differential Equations by a variety of techniques. For Ordinary Differential Equations the methods include series solutions and the method of Frobenius. Fourier series are introduced and utilised when solving Partial Differential Equations by separation of variables. In linear algebra, you will develop skills in the algebra of matrices, including matrix operations, linear equations, determinants, eigenvalues and eigenvectors, diagonalization and geometric applications of linear algebra.

MATHEMATICS FOR SCIENTISTS B

Code MTHB5010A

Credits 20

This module develops mathematical techniques required for a range of modules that form part of our science degree programmes. You will cover topics such as matrix algebra and its use in solving systems of differential equations, together with Fourier series and Fourier transforms as a method for solving differential equations. You will see a range of partial differential equations relevant to physical sciences such as the wave equation, together with methods for solving these equations, such as the method of separable variables. Numerical methods for solving algebraic and differential equations are important when analytic methods do not provide an exact solution. You will be introduced to the Python programming language to find numerical solutions of differential equations and systems of linear equations.

MATHEMATICS FOR SCIENTISTS C

Code MTHB5011B

Credits 20

This module provides more mathematical techniques to complement study of other science programmes, in particular Engineering, Environmental Science and Physics programmes. The main focus of the module is the study of the motion of fluids and solids in different physical situations. You will first study vector calculus. This combines vectors with ideas from multivariable calculus. An understanding of vector calculus is needed to be able to model the motion of fluids and solids. You will then learn about the equations governing fluid and how to solve them in relatively simple geometries; for example, the flow of water over an obstacle and the appearance of hydraulic jumps. A key result is Bernoulli’s equation which relates fluid flow to pressure and hence the force on bodies placed in a flow. This has important applications in understanding why flows lead to lift forces on a wing. You will also be introduced to wave theory and understand how waves on the surface of a fluid can develop. Finally, you will study how mathematics can be used to model deformation and vibration of elastic solids. You will learn how this theory can be applied to seismology (the study of earthquakes).

QUANTUM MECHANICS AND SPECIAL RELATIVITY

Code MTHF5030B

Credits 20

This module will introduce you to the theories quantum mechanics and special relativity. Quantum mechanics describes how atoms and sub-atomic particles behave on very small length-scales. Special relativity describes how objects behave at very high speeds. In quantum mechanics you will study systems with small lengthscales and understand why the ideas of classical mechanics fail to describe physical effects when sub-atomic particles are involved. You will then see how the famous “Schrödinger equation” is derived, and gain an understanding of its probabilistic interpretation. Finally, you will study how the solutions of the Schrödinger equation imply that certain physical quantities (e.g. energy) do not vary continuously, but can only take on discrete values. Such variables are said to be “quantized”. In special relativity, you will see how the general concepts of space and time drastically change for an observer moving at speeds close to the speed of light. For example, time undergoes a dilation and space a contraction. These counterintuitive phenomena are however direct consequences of physical laws. You will understand the basics of special relativity using simple mathematics and physical intuition. Important well-known topics like inertial and non-inertial frames, the Lorentz transformations, the concept of simultaneity, time dilation and Lorentz contraction, mass and energy relation will be explained. At the end of the module, you will see how special relativity and quantum mechanics can be combined in a relativistic theory of quantum mechanics.

POINT SET TOPOLOGY AND FURTHER LINEAR ALGEBRA

Code MTHF5036A

Credits 20

This module comprises two distinct parts, covering additional topics in pure mathematics. Point-set topology is the study of spaces where we have a notion of “shape” and “closeness” but no numerical measure of distance: so, famously, a ring doughnut and a teacup are the same as topological spaces, since both are solid shapes with one hole (through the handle, for the teacup). This generalises Analysis, using only basic set theory. You will begin by defining a topological space and will then investigate how analytic notions like limit points and continuity can be interpreted in terms of open and closed sets, as well as seeing how new topological spaces can be built from old ones. Linear transformations underpin much of modern mathematics and are the key to many applications. In many of these applications there is more structure, for example the dot product of vectors, and this is reflected in the structure of the linear transformations which arise. You will learn about bilinear forms and symmetric operators on vector spaces, which leads on to the diagonalization of symmetric linear transformations and the spectral theorem. This theorem is key to many applications in Statistics and Physics. Other topics you will study include polynomials of linear maps, the Cayley–Hamilton theorem, and the Jordan normal form of a matrix.

TOPICS AND LABORATORY IN PHYSICS

Code PHY-5001B

Credits 20

This module explores physics as an empirical science through a series of laboratory experiments that probe key concepts and physical laws. The laboratory sessions will be underpinned by associated teaching surrounding the studied phenomena, and will complement topics addressed in other modules in the physics course.

HEAT, ATOMS AND SOLIDS

Code PHY-5004B

Credits 20

Exploring fundamental aspects of thermodynamics and condensed matter physics, you’ll be introduced to ideas about the electronic structure based on the free-electron Sommerfeld and band theories, along with the concept of phonons and their contribution to the heat capacity of a solid. Also you’ll consider the structure, bonding and properties of solids, in particular electronic conductivity and magnetism, as well as atomic structure and atomic spectroscopy, and Entropy in terms of a macroscopic Carnot cycle and the statistical approach. Two important distributions of particles will be treated; Bose-Einstein and Fermi-Dirac. Changes of state, 1st and 2nd order phase transitions and the Clausius–Clapeyron equation will be described.

STELLAR PHYSICS

Code PHY-5005A

Credits 20

Science arguably began, thousands of years ago, when humans first attempted to understand the behaviour of both the Sun and distant stars. This module provides an introduction to our modern view of the physics of stars: their structure, evolution, dynamics, chemistry, and magnetic fields. It will look at many of the diverse kinds of object we call stars, including their origins and the endpoint of their evolution. Through a piece of coursework you will see how the physics discussed in the module applies to the Sun. Much of the physics that will be introduced (e.g. magnetohydrodynamics, perturbation theory) is useful in other contexts too.

QUANTUM THEORY AND SYMMETRY

Code PHY-5250A

Credits 20

You’ll cover the foundation and basics of quantum theory and symmetry, starting with features of the quantum world and including elements of quantum chemistry, group theory, computer-based methods for calculating molecular wavefunctions, quantum information, and the quantum nature of light. The subject matter paves the way for applications to a variety of chemical and physical systems – in particular, processes and properties involving the electronic structure of atoms and molecules.

Optional B Modules

(0-20 credits)

BIODIVERSITY

Code BIO-4001A

Credits 20

EVOLUTION, BEHAVIOUR AND ECOLOGY

Code BIO-4002B

Credits 20

PHYSICAL AND ANALYTICAL METHODS IN BIOCHEMISTRY

Code BIO-4007Y

Credits 20

SKILLS FOR BIOLOGISTS

Code BIO-4008Y

Credits 20

CELL BIOLOGY AND PHYSIOLOGY

Code BIO-4015B

Credits 20

BIOCHEMISTRY AND CELL BIOLOGY

Code BIO-4016B

Credits 20

BIOLOGICAL CHEMISTRY

Code BIO-4017Y

Credits 20

MOLECULAR BIOLOGY AND GENETICS

Code BIO-4018A

Credits 20

CHEMISTRY SKILLS A

Code CHE-4002A

Credits 20

CHEMISTRY SKILLS B

Code CHE-4003B

Credits 20

CHEMISTRY OF THE CARBON-BASED COMPOUNDS

Code CHE-4101B

Credits 20

PHYSICAL CHEMISTRY I

Code CHE-4202B

Credits 20

BONDING, STRUCTURE & PERIODICITY

Code CHE-4301A

Credits 20

ANALYTICAL CHEMISTRY

Code CHE-4501A

Credits 20

RESEARCH SKILLS IN BIOCHEMISTRY

Code CHE-4602Y

Credits 20

COMPUTING PRINCIPLES

Code CMP-4002B

Credits 20

MATHEMATICS FOR COMPUTING A

Code CMP-4004Y

Credits 20

MATHEMATICS FOR COMPUTING B

Code CMP-4005Y

Credits 20

PROGRAMMING 1

Code CMP-4008Y

Credits 20

PROGRAMMING FOR APPLICATIONS

Code CMP-4009B

Credits 20

DATABASE SYSTEMS

Code CMP-4010B

Credits 20

WEB-BASED PROGRAMMING

Code CMP-4011A

Credits 20

GLOBAL ENVIRONMENTAL CHALLENGES

Code ENV-4001A

Credits 20

RESEARCH AND FIELD SKILLS

Code ENV-4004Y

Credits 20

UNDERSTANDING THE DYNAMIC PLANET

Code ENV-4005A

Credits 20

SUSTAINABILITY, SOCIETY AND BIODIVERSITY

Code ENV-4006B

Credits 20

ATMOSPHERE & OCEANS

Code ENV-4007B

Credits 20

GEOGRAPHICAL PERSPECTIVES

Code ENV-4010Y

Credits 20

QUANTITATIVE SKILLS I

Code ENV-4013Y

Credits 20

QUANTITATIVE SKILLS II

Code ENV-4014Y

Credits 20

MATHEMATICS FOR SCIENTISTS A

Code ENV-4015Y

Credits 20

MATHEMATICAL SKILLS

Code MTHA4001A

Credits 20

SEQUENCES, SERIES AND LINEAR EQUATIONS

Code MTHA4003A

Credits 20

REAL ANALYSIS AND GROUP THEORY

Code MTHA4003B

Credits 20

COMPUTATION AND MODELLING

Code MTHA4007B

Credits 20

CALCULUS

Code MTHA4008A

Credits 20

PROBABILITY AND MULTIVARIABLE CALCULUS

Code MTHA4008B

Credits 20

PROPERTIES OF MATTER

Code PHY-4001B

Credits 20

GEOPHYSICS AND ASTROPHYSICS

Code PHY-4003A

Credits 20

ELECTROMAGNETISM AND WAVES

Code PHY-4005A

Credits 20

LABORATORY AND SKILLS FOR PHYSICS

Code PHY-4005Y

Credits 20

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Important Information

Students are required to take at least 100 credits each from two of the following major subjects by the end of their final year: Biology, Chemistry, Computing, Environmental Sciences, Mathematics and Physics. In Year 3 students are expected to take a minimum of 100 credits at level 6.

Assessment for Year 3

We use a variety of assessment methods across the different modules, ranging from 100% coursework to 100% examination.

Compulsory Modules

Optional A Modules

(100-120 credits)

MOLECULAR ENZYMOLOGY IN BIOLOGY AND MEDICINE

Code BIO-6001A

Credits 20

The module sets out to explain the molecular basis of the often complex catalytic mechanisms of enzymes, concentrating particularly on their relevance to and applications in biotechnology and medicine. A particular focus is the relationships between enzyme structure and function with a view to understanding catalytic mechanism. To enable this, students are given the opportunity to develop an appreciation of the methods by which enzyme structures are solved by X-ray crystallography, and how this data can be used to explain enzyme catalytic mechanism. With knowledge of catalytic mechanism comes the opportunity to develop inhibitors, and the module gives students an understanding of how enzyme structure data can be exploited to develop specific inhibitors as lead compounds in drug development. Through lecture and associated workshop content, descriptions are presented of how a range of physiologically- and medically-relevant enzymes work at the molecular level. These include the mechanisms by which important enzymes such as P450s detoxify xenobiotics and metabolize drugs, and the roles of serine proteases in biotechnology and medicine. A major block of the module content is concerned with developing a thorough grasp of the structure-function relationships of a range of complex molecular motors. The module also introduces techniques by which enzymes can be engineered for applications in biotechnology. There is a 2-week practical associated with the module aimed at developing the skills needed for the design and execution of solution experiments to measure the kinetic parameters of a model enzyme system. A major component of the practical enables students to gain knowledge of how to account for experimental error in the analysis of enzyme assay data and how to explain their results in terms of aspects of the enzyme mechanism.

MICROBIAL BIOTECHNOLOGY

Code BIO-6004A

Credits 20

This module provides an overview of the uses of microorganisms in biotechnological principles. It provides training in the basic principles that control microbiological culture growth, the microbial physiology and genetics that underpin the production of bioproducts such as biofuels, bioplastics, antibiotics and food products, as well as the use of micro-organisms in wastewater treatment and bioremediation.

TECHNIQUES AND ADVANCES IN MOLECULAR MICROBIOLOGY

Code BIO-6005B

Credits 20

This module will provide you with a detailed understanding of cutting-edge developments in microbial cell biology. You will cover essential techniques used to carry out modern day molecular microbiology. These techniques will be further explained to you in the context of work done on model microbial systems in research conducted on the Norwich Research Park (NRP). The module is taught to you by world-leading research scientists from the NRP and focuses on the structure and analysis of bacterial genomes, the bacterial cytoskeleton, sub-cellular localisation, cell shape and cell division and intercellular communication between bacteria and higher organisms. You will also have research-led seminars delivered by NRP PhD students.

CELL BIOLOGY AND MECHANISMS OF DISEASE

Code BIO-6006B

Credits 20

Do you want to learn about the key topics within cell biology and understand how these relate to human diseases? You will learn about the structure and function of cells in health and disease through a combination of practical demonstrations, where you will experience some of the imaging techniques used in the study of Cell Biology. You will also participate in a workshop, where you will learn how to design experiments. This module will provide you with a solid understanding of aspects of cell structure, function and related diseases concerning: ubiquitination; the cytoskeleton; cell division; cell signalling in motility and wound healing; the extracellular matrix; growth factors and proliferation; cell differentiation and adult stem cells and apoptosis.

EVOLUTIONARY BIOLOGY AND CONSERVATION GENETICS

Code BIO-6008B

Credits 20

You will gain a deep understanding about conservation genetics / genomics based on an evolutionary / population-genetic framework, thereby covering contemporary issues in conservation biology, evolution, population biology, genetics, organismal phylogeny, Next Generation Sequencing, and molecular ecology. This is an advanced course in evolutionary biology / conservation genetics that will benefit you if you plan to continue with a postgraduate degree in ecology, genetics, conservation, or evolution. It is also ideal if you are wishing to deepen your knowledge in 1st and 2nd year conservation / evolution / genetics modules. A background in evolution, genetics, and/or molecular biology is highly recommended.

CANCER BIOLOGY

Code BIO-6009A

Credits 20

On this module you will learn about the various roles of genes in cancer cell signalling, the cell cycle, cell death processes such as apoptosis, metastasis and angiogenesis, and discuss the potential for novel therapies. The use of animal models and the problems with drug resistance will be discussed. You will develop key skills in the critical analysis of primary cancer research papers. We work closely with experts at the Norfolk & Norwich University Hospital wherever possible, enabling you to gain an in-depth appreciation of cancer as a disease process from both the scientific and clinical viewpoints.

INFECTION AND IMMUNITY

Code BIO-6010B

Credits 20

This module provides a detailed coverage of the biology of selected infectious microorganisms, in the context of host and responses to pathogens. The properties of organs, cells and molecules of the immune system are described, along with the mechanism of antibody diversity generation, and the exploitation of the immune response for vaccine development. Examples of pathogens are used to illustrate major virulence strategies.

EMBRYO DEVELOPMENT AND STEM CELL BIOLOGY

Code BIO-6012A

Credits 20

You will study the mechanisms that drive embryonic development, including the signals and signalling pathways that lead to the establishment of the body plan, pattern formation, differentiation and organogenesis. Your lectures will cover different model organisms used in the study of development with a focus on vertebrate systems. The relevance of embryonic development to our understanding of human development and disease is a recurring theme throughout the module, which also covers stem cells and organoids and their role in enhancing our understanding of development and disease, healthy tissue maintenance and drug discovery.

GENOMES, GENES AND GENOMICS

Code BIO-6013A

Credits 20

This module will provide you with knowledge of the biological analysis of genomes. This will focus on our understanding of genome composition, organisation and evolution, and the global regulation of gene expression. When you have completed this module you will understand contemporary methods that inform us about the biology of genomes.

EVOLUTION IN HEALTH AND DISEASE

Code BIO-6017A

Credits 20

The module provides up-to-date learning in evolutionary medicine and the evolution of disease. The module examines how evolutionary principles illuminate and provide fresh insight into a broad range of contemporary health problems including infectious, chronic and nutritional diseases and disorders. Topics are introduced in a multidisciplinary approach that takes into account the relationship between biology and society. The module covers 5 areas: (i) principles of evolutionary medicine - humans in their evolutionary context; (ii) evolution and non-infectious diseases (cancer, lifestyles, ageing); (iii) evolution and infection (vaccines, antibiotics, pathogens, emerging diseases); (iv) personalised medicine and social context of evolutionary medicine; (v) case studies in ancient DNA and human evolution.

SCIENCE COMMUNICATION

Code BIO-6018Y

Credits 20

You will gain an understanding of how science is disseminated to the public and explore the theories surrounding learning and communication. You will investigate science as a culture and how this culture interfaces with the public. Examining case studies in a variety of different scientific areas, alongside looking at how information is released in scientific literature and subsequently picked up by the public press, will give you an understanding of science communication. You will gain an appreciation of how science information can be used to change public perception and how it can sometimes be misinterpreted. You will also learn practical skills by designing, running and evaluating a public outreach event at a school or in a public area. If you wish to take this module you will be required to write a statement of selection. These statements will be assessed and students will be allocated to the module accordingly.

PLANT BIOTECHNOLOGY FOR SUSTAINABLE FOOD PRODUCTION

Code BIO-6025B

Credits 20

Plant biotechnology can play an important role in providing crop varieties with increased disease resistance, better P and N (Phosphorous and Nitrogen) use efficiency, and higher nutritional value. It includes not just genetic modification, but any technology to obtain desirable traits in plants, such as mutagenesis and marker-assisted selection. The identification of important traits from wild germplasm and existing cultivars, and their introduction into elite cultivars has been achieved primarily using conventional plant breeding methods. This module will identify the major challenges for sustainable crop production, and highlight the role of plant biotechnology and current plant breeding strategies.

BIOLOGY OF AGEING: EVOLUTION, ECOLOGY AND HUMAN HEALTH

Code BIO-6031A

Credits 20

The purpose of this module is to introduce students to the fundamentals of the biology of ageing, as well as to the latest discoveries in evolutionary and applied biogerontology. The students will learn about the ultimate evolutionary causes of ageing, the genetics of ageing, and the role of the environment in shaping differences in ageing between populations, sexes, and individuals. The module material will cover ageing in wild populations of animals and plants, in laboratory model organisms, and in historical and contemporary human populations. Special attention will be given to ageing as a global challenge facing modern societies and to the research advances aimed at extending healthy lifespan in humans. The module will use Mechanisms of Life-History Evolution (2011) (Oxford University Press, eds. Flatt and Heyland) and The Evolution of Senescence in the Tree of Life (2017) (Cambridge University Press, eds. Shefferson, Jones and Salguero-Gomez) as the items of core reading and will refer back to some of the chapters in these books.

WORK PLACEMENT

Code BIO-6033A

Credits 20

This module will enable you to develop a range of workplace skills associated with the Sciences, which may take place across a variety of organisations. This will involve identifying, securing and undertaking a placement in association with the organisation you will be working for.

ADVANCED LABORATORY A

Code CHE-6004A

Credits 20

This is the first of two which provide an important bridge between both 1st and 2nd year undergraduate labs (with closely scripted experiments) and with independent research. Projects will be conducted in a number of chemistry themes. You will be given a choice to select some preferences prior to the module beginning, depending on their specific course requirements and research lab capacities.

ADVANCED LABORATORY B

Code CHE-6005B

Credits 20

This is the second of two which provide an important bridge between both 1st and 2nd year undergraduate labs (with closely scripted experiments) and with independent research. Projects will be conducted in a number of chemistry themes. You will be given a choice to select some preferences prior to the module beginning, depending on their specific course requirements and research lab capacities.

ORGANIC COMPOUNDS: SYNTHESIS AND PROPERTIES

Code CHE-6101A

Credits 20

You will cover several key topics required to plan the synthesis of organic compounds, and to understand the properties displayed by organic compounds. The first topic is on synthesis planning, strategy and analysis, supported by a study of further important oxidation and reduction reactions. The second topic is on the use of free radicals in synthesis.The third topic is on the various types of pericyclic reactions and understanding the stereochemistry displayed by an analysis of frontier orbitals. The fourth topic is the synthesis of chiral non-racemic compounds and describes the use of chiral pool compounds and methods for the amplification of chiral information, including asymmetric reductions and oxidations.

TOPICS IN ORGANIC CHEMISTRY

Code CHE-6151B

Credits 20

This module is to provide an awareness of new bond construction in advanced organic chemistry. It has aspects of natural product chemistry, new methodology and the associated bioactivity of natural compounds. The module will illustrate how advanced synthetic chemistry can be used to construct compounds that might find applications in the pharmaceutical industry.

PHYSICAL CHEMISTRY III

Code CHE-6201A

Credits 20

The module covers a selection of advanced topics in physical chemistry including statistical thermodynamics, reaction mechanisms and theories of reaction rates, photochemistry, electrochemistry and diffraction techniques.

INORGANIC COMPOUNDS: STRUCTURE AND FUNCTION

Code CHE-6301B

Credits 20

This module concentrates on two important themes in contemporary inorganic chemistry: (i) the role of transition metals in homogeneous catalysis; (ii) the correlation between the structures of transition metal complexes and their electronic and magnetic properties. The structure and bonding in these compounds will be discussed as well as their applications in synthesis. There will be a series of problem-solving workshops interspersed with the lectures.

ENERGY MATERIALS

Code CHE-6350B

Credits 20

This module is designed to provide you with an understanding of the developing landscape and challenges in the broad area of energy generation and transduction. It has a particular emphasis on the science that underpins emerging technologies related to the hydrogen economy, photovoltaics and biological or solar fuels. Necessarily it encompasses cross-discipline aspects of chemistry, physics materials and biological science with the students gaining knowledge of how these disciplines interplay in the design and construction of new devices for energy harvesting and utilisation.

TOPICS IN ANALYTICAL CHEMISTRY

Code CHE-6501B

Credits 20

CHE-6501B is the third step in a progression of analytical modules. A number of more advanced and more specialised analytical techniques are covered including: techniques to determine atomic composition, approaches to materials characterisation using vibrational spectroscopy (IR and Raman - including imaging), use of mass spectrometry to assist with molecular structure determination and confirmation, introduction to some bio-analytical methods and analysis in the real world (QA/QC, SOPs, working in regulated environments). There will be a strong focus on real-world analysis and practical interpretation/use of data, rather than extensive underlying theory. Employability aspects will be emphasised throughout, as students begin to consider next destinations.

PROTEIN STRUCTURE, CHEMISTRY AND ENGINEERING

Code CHE-6601B

Credits 20

The structural basis of the function of many proteins has been elucidated and this, together with the ready availability of chemical and biochemical techniques for altering proteins in a controlled way, has led to the application of proteins in a wide variety of biological and chemical systems and processes. These include their use as industrial catalysts and medicines, in organic syntheses and in the development of new materials. This module provides an introduction to the principles underlying this rapidly expanding and commercially-relevant area of the molecular biosciences and gives insights into their applications.

MACHINE LEARNING

Code CMP-6002A

Credits 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 Deep Learning) and clustering algorithms (e.g. k-NN and PAM) and discuss the practical implications of their application to real world problems. We then introduce reinforcement learning and the Q-learning problem and describe its application to control problems such as maze solving.

SYSTEMS ENGINEERING

Code CMP-6003B

Credits 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 Systems Thinking, Causal Loop Diagrams, Systems Failure, Outsourcing, Quality, Risk Management, Measurement, Project Management, Software Process Improvement, Configuration Management, Maintainability, Testing, and Peopleware are covered in this module. The module is supported by well documented case studies and includes guest speakers from industry.

AUDIOVISUAL PROCESSING

Code CMP-6026A

Credits 20

This module explores how computers process audio and video signals. In the audio component, the focus is on understanding how humans produce speech and how this can be processed by computer for speech recognition and enhancement. Similarly, the visual component considers the human eye and camera, and how video is processed by computer. The theoretical material covered in lectures is reinforced with practical laboratory sessions. The module is coursework only and requires you to build a speech recogniser capable of recognising the names of students studying the module using both audio and visual speech information.

COMPUTER VISION

Code CMP-6035B

Credits 20

Computer Vision is about “teaching machines how to see”. You will study methods for acquiring, analysing and understanding images in both lectures and laboratories. The practical exercises and projects that you undertake in the laboratory will support the underpinning theory and enable you to implement contemporary computer vision algorithms.

HUMAN COMPUTER INTERACTION

Code CMP-6039A

Credits 20

Human Computer Interaction (or UX) covers a very wide range of devices, including conventional computers, mobile devices and “hidden” computing devices. In this module you will learn about interactions from a variety of perspectives, such as cognitive psychology, ethnographic methods, security issues, UI failures, the principles of good user experience, heuristic and experimental evaluation approaches and the needs of a range of different audiences.

ARTIFICIAL INTELLIGENCE

Code CMP-6040B

Credits 20

This module will introduce you to core techniques in Artificial Intelligence. Topics covered may include state space representation and search algorithms, knowledge representation, expert systems, Bayesian networks, Markov Models, Neural networks, Deep learning, and an Introduction to Robotics and Drone.

GENERALISED LINEAR MODELS

Code CMP-6046A

Credits 10

This module covers Linear and Generalised Linear models. It covers both the theory and practice of statistical model fitting and students will be expected to analyse real data using R.

UBIQUITOUS COMPUTING

Code CMP-6046B

Credits 20

In this module we will introduce the multifaceted topic of Ubiquitous Computing. You will learn about how computing power can be taken away from desktop computer setting and be applied anywhere. The module draws upon many other areas such as Signal Processing, Machine Learning, Human Computer Interaction, Internet of Things, Networks, and the use of hardware. This is a project and coursework orientated module with an emphasis on developing your own ideas to gain the skills needed to take the power of computing to be everywhere.

STOCHASTIC PROCESSES

Code CMP-6047A

Credits 10

This module introduces stochastic processes. These are processes that vary randomly in time. Such processes include random walks, Markov chains, Poisson processes, and birth and death processes, which are covered in this module. The underlying probability theory and applications of such systems will be explored in this module.

ADVANCED PROGRAMMING

Code CMP-6048A

Credits 20

The advanced programming module aims to take your understanding of programming languages beyond their mere application in real world apps. As such, the emphasis of the module is on the architecture of programming languages, classified into paradigms that include procedural, object-oriented and functional. In particular, the functional or “declarative” paradigm will be covered in depth. Another substantial part is on compilers and interpreters, i.e. programs that turn higher level programs into machine language or alternatively, transpilers, that translate to another established language. Code optimisation, high performance computing (HPC) and parallel programming concepts will be covered including applications of GPU programming using CUDA and OpenCL. Any General Purpose Language (GPL), old and new, may be used in lecture note examples. Applications of functional programming will adopt the F# functional programming language. IMPORTANT NOTE: This module does not cover web- or mobile app-based programming nor “advanced software engineering” concepts.

CONTROL SYSTEMS

Code ENG-6007A

Credits 20

Automatic control is essential in any field of engineering and science. Control systems are an integral part of robotic systems, manufacturing systems, self-driven vehicles and any industrial operation and household application involving control of temperature, humidity, flow, pressure, etc. A competent engineer should be familiar with the control theories commonly used nowadays and their practical application. In particular, this module is focused on the analysis and design of control systems based on the classical control theory. Among other topics, this module covers: -Systems modelling using Laplace transforms. -System identification. -Open-loop and closed-loop control systems and the importance of feedback. -Evaluation of systems stability and behaviour using different analysis tools like Bode plots, the Routh-Hurwitz criterion, the Root Locus method or Nyquist plots. -Design and tuning of different common types of controllers, like PID controllers and lead/lag compensators, to meet a variety of design requirements. -Digital control systems. -Programming and operation of PLCs (programmable logic controllers) and its use in automatic industrial systems. -Analysis and design of control systems using Matlab In order to reinforce the learning and engagement, different case studies of industrial applications from local companies are introduced and potentially a site visit.

ELECTRICAL DRIVES AND ENERGY STORAGE

Code ENG-6009B

Credits 20

This module will provide the students with a wide range of knowledge, learning and skills in electrical machines, power electronics drives, and energy storage systems for various current and emerging applications in our industry for example electric vehicles, renewable power generation and energy storage systems. The delivery of the learning objectives will be through a combination of theoretical, analytical, computer simulation and experimental lab activities.

SOLAR ENERGY ENGINEERING

Code ENG-6010A

Credits 20

This module addresses the engineering and technical aspects of solar energy, covering solar energy resource availability, solar energy conversion systems, photovoltaic (PV) and solar thermal collector systems, and other solar energy applications in the industrial, domestic, transport and agricultural sectors. You will obtain advanced knowledge on the estimation of solar radiation through models and solar radiation databases for any site and surface geometry, shading analysis, the optimum and cost-effective design, performance analysis and sizing of PV systems and solar thermal collector systems, and their integration in buildings. In parallel, you will develop software skills in the above topics and practical skills in PV cell/module characterisation, performance and degradation analysis in the laboratory.

NUCLEAR ENGINEERING AND TECHNOLOGY

Code ENG-6011B

Credits 20

This module is designed to provide students with an in-depth understanding of this key energy sector. It addresses the technical and financial aspects of nuclear power, offering a comprehensive grounding in the underpinning science, engineering and safety features, along with relevant nuclear regulators and policy. Students will develop knowledge and insights as well as analytical and modelling skills, in addition to skills that are transferable into future or current work settings, such as management of time and information, report writing and the deployment of critical reasoning and independent thinking.

GEOPHYSICAL HAZARDS

Code ENV-6001B

Credits 20

Geophysical hazards such as earthquakes, volcanic eruptions, tsunamis and landslides have significant environmental and societal impacts. This module focuses on the physical basis and analysis of each hazard, their global range of occurrence, probability of occurrence and their local and global impact. You will address matters such as hazard monitoring, modelling and assessment, and consider approaches towards risk mitigation and the reduction of vulnerability (individual and societal), with an emphasis on their practical implementation. Scenarios and probabilities of mega-disasters are also investigated. All the teaching faculty involved have practical experience of supplying professional advice on these hazards (and related risks) in addition to their own research involvement. A basic knowledge of physical science and of mathematics is assumed e.g. use of logs, exponentials, powers, cosines, rearrangement of equations.

MODELLING ENVIRONMENTAL PROCESSES

Code ENV-6004A

Credits 20

Our aim is to show how environmental problems may be solved from the initial problem, to mathematical formulation and numerical solution. Problems will be described conceptually, then defined mathematically, then solved numerically via computer programming. The module consists of lectures on numerical methods and computing practicals; the practicals being designed to illustrate the solution of problems using the methods covered in lectures. We will guide you through the solution of a model of an environmental process of your own choosing. The skills developed in this module are highly valued by prospective employers.

BIOLOGICAL OCEANOGRAPHY AND MARINE ECOLOGY

Code ENV-6005A

Credits 20

Explore the evolution, biodiversity and ecology of bacteria, diatoms, coccolithophores and nitrogen fixers, and the physiology and distribution of zooplankton. You will study ecosystems such as the Antarctic, mid ocean gyres and Eastern Boundary Upwelling Systems in detail, and predict the impact of environmental change (increasing temperature, decreasing pH, decreasing oxygen, and changes in nutrient supply) on marine ecosystem dynamics. Biological oceanographic methods will be critically evaluated. The module will include a reading week in week 7 and a voluntary employability visit to the Centre for the Environment, Fisheries and Aquaculture Science (Cefas) in Lowestoft. You will be expected to have some background in biology, e.g. have taken a biology, ecology or biogeochemistry based second year module in order to study this module.

BIODIVERSITY CONSERVATION AND HUMAN SOCIETY

Code ENV-6006A

Credits 20

The global biodiversity crisis threatens mass species loss. What are the implications for society? How can communities solve this problem in a world that is facing other challenges of climate change, food security, environmental and social justice? In this inter-disciplinary module, (designed for students of Geography, Environmental Science, Ecology and International Development who have an interest in biodiversity and its conservation), you will focus on the interactions between biodiversity and human societies. The module adopts a rigorous evidence-based approach. You will first critically examine the human drivers of biodiversity loss and the importance of biodiversity to human society, to understand how underlying perspectives and motivations influence approaches to conservation. You will then examine conflicts between human society and conservation and how these potentially can be resolved, reviewing institutions and potential instruments for biodiversity conservation in both Europe and developing countries. Coursework is inter-disciplinary and will require you to evaluate and communicate the quality of evidence showing effectiveness of conservation interventions and approaches.

THE CARBON CYCLE AND CLIMATE CHANGE

Code ENV-6008A

Credits 20

What do you know about the drivers of climate change? Carbon dioxide (CO2) is the greenhouse gas that has, by far, the greatest impact on climate change, but how carbon cycles through the Earth is complex and not fully understood. Predicting future climate or defining ‘dangerous’ climate change is therefore challenging. In this module you will learn about the atmosphere, ocean and land components of the carbon cycle. We cover urgent global issues such as ocean acidification and how to get off our fossil fuel ‘addiction’, as well as how to deal with climate change denialists.

FOSSIL FUELS

Code ENV-6009A

Credits 20

You will be introduced to geological, economic and political aspects of fossil fuels (oil, natural gas and coal). These are used to discuss environmental concerns arising from the use of fossil fuels, and the potentially profound implications of future fuel scarcity on society. Some knowledge of Earth science and basic Chemistry will be expected.

NATURAL RESOURCES AND ENVIRONMENTAL ECONOMICS

Code ENV-6012B

Credits 20

Environmental economics provides a set of tools and principles which can be useful in understanding natural resource management issues. This module introduces you to key principles and tools of environmental economics for students who have not studied the subject previously. It then explores how these principles can be applied to address a number of complex economy-environment problems including climate change, over-fishing and water resources management. In this module you will have the opportunity to practically apply cost-benefit analysis as a framework for decision-making and will gain knowledge on the key non-market valuation techniques that are used to monetarily value environmental goods and services. At the end of the module you will have gained insights into how environmental economics is used in developing natural resource management policy as well as some of the challenges in using environmental economics in policy-making.

PALAEOCLIMATOLOGY

Code ENV-6017B

Credits 20

This module examines the geological evidence for climatic change through the Quaternary Period (the last 2.6 million years) and the longer-term evolution of climate through the Cenozoic Era (the last 65 million years). You will explore the interpretation and causal mechanisms behind these major global environmental changes using a diverse range of approaches – isotope geochemistry, sedimentology, palaeoecology and organic geochemistry. We will focus on the geochemical, biological and sedimentological information that can be obtained from marine sediments, ice cores, and terrestrial environments and use these records to reconstruct the timing extent and magnitude of selected climatic events in the geological record.

CATCHMENT MANAGEMENT

Code ENV-6018B

Credits 20

Based around the theme of Integrated Catchment Management (ICM), in this module you will address the fundamental requirement for an interdisciplinary catchment-based approach to protecting water and soil resources that includes an understanding of land use policy and management. Exploring land and water processes, you will cover aspects of hydrology, water pollution, aquatic ecology, soil science, flood modelling, agronomy and agri-environmental policy. This module is ideally suited for those seeking a career in catchment management working for organisations including water companies, Rivers Trusts, Natural England and the Environment Agency. Competence in numerical problem solving and data analysis would be advantageous for the coursework and practical classes.

GEOSCIENCES FIELDCOURSE: GREECE

Code ENV-6022K

Credits 20

PLEASE NOTE: This module does not run in 2022/23, but should run in June-July 2023 for the 2023/24 academic year; invitations to register for this fieldcourse will be circulated to relevant students in November 2022. This module alternates with the Geosciences field course to Spain which runs in 2022/23. During this field course you will develop a deeper understanding and integration of geoscience subjects: the fieldwork will develop your applied skills such as aspects of structural geology, regional tectonics, sedimentology, palaeoclimate and palaeoenvironments, and volcanology. There are two field bases in Greece, a) the Gulf of Corinth active rift (6 days plus a day off), and b) Santorini volcano (4 days) plus 3 travel days.

ENERGY AND PEOPLE

Code ENV-6026B

Credits 20

Modern everyday life rests fundamentally on the availability of energy. Since the 1970s, however, serious concerns have been raised about the sustainability of current energy systems. Traditionally, these problems have been analysed (and solutions proposed) from within the engineering and physical sciences. Understanding, managing and attempting to solve energy problems, however, demands a thorough appreciation of how people, at a range of scales, engage with energy in the course of their daily lives. This is a critical challenge for the social sciences, and will be the core focus of this module. Through this module, you will discover and explore a range of social science perspectives on the inter-relationships between energy and people. You will learn how to apply these ideas to contemporary energy problems and use them to generate your own visions for a sustainable energy future. You’ll also be given the chance to work as part of a team and to communicate your ideas through both written and oral presentation. You’ll begin by tracing the history and development of energy intensive societies and everyday lives as a means of understanding how energy has emerged as a key sustainability problem. You’ll then go into more depth around different theories of social and technical change before exploring how these can be used to critically analyse a range of people-based solutions to energy problems that are currently being tried and tested around the world. You’ll learn through a combination of lectures and seminars involving interactive group projects, class debates, practical exercises and student-led learning. At the end of the module, you will have developed the knowledge, skills and experience necessary to allow you to apply theories of social and technical change to a range of real-world energy problems. You’ll be able to develop and critically analyse your own (and already existing) visions of a sustainable energy future, and you’ll be able to creatively communicate these ideas to a range of different audiences.

GEOSCIENCES FIELD COURSE TO SPAIN

Code ENV-6029K

Credits 20

PLEASE NOTE: This module does not run in 2023/24 but is expected to run in the 2024/25 academic year; invitations to register for this fieldcourse will be circulated to relevant students in November 2023. This module alternates with the Geosciences field course to Greece which runs next in 2023/24. During this field course you will develop a deeper understanding and integration of geoscience subjects through the development of field observation, recording and interpretation skills in areas of classic field geology. This fieldcourse is in the Almeria province of southern Spain where you will study a range of rock types, sedimentary, metamorphic and igneous. Your interpretive skills will include reading the rock record to unravel evidence for deep, to shallow, to marginal basin environments, with climatic and tectonic controls on the sedimentary fill of a basin. Also the evidence for strike-slip systems and associated sub-marine Miocene volcanism.

HISTORY OF MATHEMATICS

Code MTHA6002B

Credits 20

We trace the development of mathematics from prehistory to the high cultures of old Egypt, Mesopotamia and the Valley of Ind, through Islamic mathematics onto the mathematical modernity through a selection of results from the present time. We present the rise of calculus from the first work of the Indian and Greek mathematicians’ differentiation and integration through at the time of Newton and Leibniz. We discuss mathematical logic, the ideas of propositions, the axiomatisation of mathematics, and the idea of quantifiers. Our style is to explore mathematical practice and conceptual developments in different historical and geographic contexts.

FINANCIAL MATHEMATICS

Code MTHA6026A

Credits 20

The mathematical modelling of finance is a relatively new area of application of mathematics, yet it is expanding rapidly and has great importance for world financial markets. The module is primarily concerned with the valuation of financial instruments known as “derivatives”. In this module, you will learn the basics of options, futures, and the no-arbitrage principle. You will study mathematical models for various types of options. You will also examine Brownian motion, stochastic processes, stochastic calculus, and Ito's lemma. You will see how to derive the Black-Scholes partial differential equation, and understand its connection with diffusion. You will see how this equation can be applied and solved in various circumstances.

GALOIS THEORY

Code MTHD6006B

Credits 20

Galois theory is one of the most spectacular mathematical theories. Named after the French mathematician Evariste Galois, who died in a duel aged 20, it gives a beautiful connection between the theory of solving polynomial equations and group theory. In fact, many fundamental notions of group theory originated in the work of Galois. For example, why are some groups called solvable ? Because they correspond to the equations which can be solved (by some formula based on the coefficients and involving algebraic operations and extracting roots of various degrees). Galois theory explains why we can solve quadratic, cubic and quartic equations, but no similar formulae exist for equations of degree greater than four. In modern exposition, Galois theory deals with field extensions , and the central topic is the Galois correspondence between extensions and groups.

MATHEMATICAL LOGIC

Code MTHD6015A

Credits 20

The subject of mathematical logic takes a closer look at the interplay between mathematics and logical reasoning. It gives different insights into many branches of mathematics from calculus and analysis, where it explains how we can work with infinitesimals, to algebra where it gives new tools to work with groups and fields. Historically, mathematical logic led to the idea of computer programming, and recent developments include using computers to help mathematicians in new ways: not just in doing calculations but also in doing proofs. In this module, we first formalize the language we use to do mathematics, making it precise enough to prove things about. We then give the basic notions of Proof Theory and Model Theory. Proof Theory studies mathematical reasoning. You will see a Natural Deduction proof system, which gives us insight into how mathematical proofs work. A highlight is Gödel’s Completeness Theorem, which says that, for a suitably restricted (but still very large) part of mathematics, every true statement can be proved. Model Theory studies how mathematical theories and structures are characterised by axioms. We will see how some classes of structures can be described by axioms in our formal language, and others cannot. A highlight is the Compactness Theorem, which gives a way to build exotic mathematical objects such as an ordered field with infinitesimals.

DYNAMICAL METEOROLOGY

Code MTHD6018B

Credits 20

Dynamical meteorology is a core subject on which weather forecasting and the study of climate and climate change are based. This module applies fluid dynamics to the study of the circulation of the Earth's atmosphere. You will be introduced to the fluid dynamical equations and some basic thermodynamics for the atmosphere. You will then learn how these can be applied to topics such as geostrophic flow, thermal wind and the jet streams, boundary layers, gravity waves, the Hadley circulation, vorticity and potential vorticity, Rossby waves, and equatorial waves. Emphasis will be placed on fluid dynamical concepts as well as on finding analytical solutions to the equations of motion.

FLUID DYNAMICS

Code MTHD6020B

Credits 20

Fluid dynamics concerns the mathematical modelling of the flow of liquids and gases. It has wide ranging applications across nature, engineering, and biology. Applications include understanding the behaviour of ocean waves and weather, designing efficient aircraft and ships, and describing the flow of blood around the body. In this module, you will consider mathematical models of fluids, particularly including viscosity (or stickiness) of a fluid. Illustrated by practical examples throughout, you will develop the governing differential Navier-Stokes equations, and then consider their solution either finding exact solutions, or using analytical techniques to obtain solutions in certain limits (for example low viscosity or high viscosity).

MATHEMATICAL BIOLOGY

Code MTHD6021A

Credits 20

Mathematical Biology concerns the application of mathematics to problems in biology. It is a rapidly developing and hugely exciting field with many areas the focus of dedicated research. In this module, you will discover how to use the mathematics you have learned to date to understand a wide range of interesting biological problems. In many cases, important biological insights can be gained from quite simple mathematical models. Examples include the diffusion-limited growth of solid tumours, and the reasons why animal coats patterns are so widely varied - for example, why does the tiger have stripes and the leopard have spots? Mathematics has made fundamental contributions in these and many other areas which we will explore during the module. Further examples may include the propagation of wave-fronts in migrating animal populations, blood flow in arteries and veins and the onset of arterial disease, cochlear mechanics in the ear, and tear film dynamics on the human eye. No prior knowledge of biology is required to be able to take this module.

MATHEMATICAL TECHNIQUES

Code MTHD6032A

Credits 20

In applied mathematics, we will often model a real-life problem and obtain an integral or differential equation to solve. Sometimes we can find exact solutions to these equations, but we often need to resort to approximations. This module will teach you a range of useful techniques that can be used across a variety of applied mathematics problems. We provide techniques for a wide range of applications, while stressing the importance of rigour in developing such techniques. The Calculus of Variations includes techniques for maximising integrals subject to constraints. A typical problem is the curve described by a heavy chain hanging under the effect of gravity. Asymptotic analysis provides a method for solving equations, or evaluating integrals, which involve small parameters, when exact results can not be found and when numerical solutions are difficult. A range of integral transforms are discussed which are useful for solving problems including integro-differential equations. This unit will include illustration of concepts using numerical investigation with MAPLE but no previous experience of using this software is assumed.

ALGEBRAIC TOPOLOGY

Code MTHD6034B

Credits 20

Algebraic Topology uses techniques from abstract algebra to study topological spaces: spaces where we have a notion of ``shape’’ but no numerical notion of distance. Conversely, methods from topology can then be used to prove results in Algebra. You will study some basic notions and results in algebraic topology. In particular, you will see how to associate certain groups with a topological space that capture important basic information about the shape of the space. Topics covered will include: CW complexes, elementary concepts of homotopy theory, fundamental groups, covering spaces, free products of groups and the van Kampen Theorem, and presentations of groups.

GRAPH THEORY AND COMBINATORICS

Code MTHD6036A

Credits 20

A ‘simple graph’ comprises a set of points which are called vertices. Between each pair of vertices, there may be a line joining them which we call an edge. When graphs are no longer simple, they can have loops from one vertex to itself and/or multiple edges between the same pair of vertices. We can also think about adding structure to a graph by giving the edges a direction, or by colouring vertices or edges. Many real-life situations can be modelled using graph theory. For example, we could consider a transport network, where the vertices are stations and edges between stations represent a direct route between them. Or we could consider a graph where the vertices are people, and an edge represents whether they have been in close contact with each other within the last week. In both these cases, it is easy to see why people might want to understand these graphs; so studying abstract graphs, as we shall do in this module, leads to solving real-world problems. Combinatorics is the branch of mathematics concerned with enumerating and arranging sets of finite objects. It is easy to ask combinatorial questions, but often difficult to solve them. For example, suppose 2n people go to a dance class. How many ways can you arrange them into pairs? Now how many ways can you rearrange the pairs such that no one ends up with their original partner? Can you have 2n-1 dances where each person dances with a different person each time? We can also ask combinatorial questions about graphs, or colourings of graphs. In this module, we will introduce the notion of a graph and explore their properties. We develop the basic notions of connectivity and matching, and we will look at planar graphs and graph colourings. We will learn how combinatorics may be used in counting arguments and we will look at combinatorial objects. We combine graph theory and combinatorics in some ‘Ramsey Theory’. This discipline asks how big structures need to be before patterns start to arise in them. We will compute some Ramsey numbers: R(1,1)=1, R(2,2)=2, R(3,3)=6, R(4,4)=18… Do you spot a pattern? If so, you could be famous, because R(5,5) is still unknown!

ADVANCED PHYSICS LABORATORY

Code PHY-6001A

Credits 20

This module explores concepts in physics through a series of advanced laboratory experiments, working in teams. The experiments are underpinned by associated teaching in other modules of the Physics course.

THE PHYSICS OF THE UNIVERSE

Code PHY-6001B

Credits 20

In this module you will apply physics concepts and mathematical techniques to discover the astrophysics that govern the Universe at various scales, in both time and space. This includes stellar structure and evolution; stellar systems and populations; our Milky Way, other galaxies, and galactic systems; and the early Universe. You will also learn about the observational tools such as telescopes and detectors.

ANALYTICAL MECHANICS AND ELECTROMAGNETIC FIELD THEORY

Code PHY-6003B

Credits 20

On this module you will study fundamental, higher-level concepts in classical physics that provide powerful tools in applications as well as theoretical background for further advanced studies in classical and quantum physics. These include extended systems, analytical mechanics, the fundamental laws of electromagnetic fields, and electromagnetic waves. The module will include computational applications.

GENERAL RELATIVITY

Code PHY-6007A

Credits 20

General relativity is the modern understanding of the physics of gravity, and is required to describe strong-gravity physics - like that of black holes - which cannot be explained with Newtonian gravity. Beginning with special relativity, this module teaches the physical reasoning and mathematics (e.g. metrics and tensors) that lead to the equations of general relativity. You will learn about the importance of general relativity in astrophysics - such as black holes, neutron stars, and gravitational waves - and some of the ways in which general relativity has been tested. If taking this module, you will not later be able to take PHY-7007A, which covers the same material together with more advanced topics.

RESEARCH PROJECT

Code BIO-6019Y

Credits 40

This module will provide an understanding of how to conduct an independent, hypothesis driven research project. Projects involve extensive data collection, either in the laboratory or field, of a particular topic supervised by a member of staff of Biological Sciences or an affiliated institute. Topics are chosen in consultation with the supervisor. The project report is submitted at the end of the Spring Semester. Students may be moved to the module 'Integrated Laboratory Research Project' based on Stage 2 results. Some supervisors require particular module enrolment for placement in their laboratory.

Optional B Modules

(0-20 credits)

BIOCHEMISTRY

Code BIO-5002A

Credits 20

MOLECULAR BIOLOGY

Code BIO-5003B

Credits 20

HUMAN PHYSIOLOGY

Code BIO-5004A

Credits 20

CELL BIOLOGY

Code BIO-5005B

Credits 20

PLANT BIOLOGY

Code BIO-5006A

Credits 20

The module studies the biochemical, physiological and developmental processes of plants.

EVOLUTIONARY BIOLOGY

Code BIO-5008B

Credits 20

GENETICS

Code BIO-5009A

Credits 20

BEHAVIOURAL ECOLOGY

Code BIO-5010B

Credits 20

BIOLOGY IN SOCIETY

Code BIO-5012B

Credits 20

FIELD ECOLOGY

Code BIO-5013A

Credits 20

COMMUNITY, ECOSYSTEM AND MACRO-ECOLOGY

Code BIO-5014B

Credits 20

MICROBIOLOGY

Code BIO-5015B

Credits 20

CONSERVATION, ECOLOGY AND BIODIVERSITY IN THE TROPICS (FIELDCOURSE)

Code BIO-5020K

Credits 20

DATA SCIENCE FOR BIOLOGISTS

Code BIO-5023Y

Credits 20

PARASITE AND PATHOGEN ECOLOGY

Code BIO-5026A

Credits 20

ORGANIC CHEMISTRY

Code CHE-5101A

Credits 20

MEDICINAL CHEMISTRY

Code CHE-5150B

Credits 20

PHYSICAL CHEMISTRY II

Code CHE-5201B

Credits 20

INORGANIC CHEMISTRY

Code CHE-5301B

Credits 20

POLYMERS AND MATERIALS

Code CHE-5350A

Credits 20

INSTRUMENTAL ANALYTICAL CHEMISTRY

Code CHE-5501B

Credits 20

BIOPHYSICAL CHEMISTRY

Code CHE-5601A

Credits 20

COMPUTER GRAPHICS

Code CMP-5010B

Credits 20

SOFTWARE ENGINEERING

Code CMP-5012B

Credits 20

ARCHITECTURES AND OPERATING SYSTEMS

Code CMP-5013A

Credits 20

DATA STRUCTURES AND ALGORITHMS

Code CMP-5014B

Credits 20

PROGRAMMING 2

Code CMP-5015A

Credits 20

PROGRAMMING FOR NON-SPECIALISTS

Code CMP-5020B

Credits 20

ANALOGUE AND DIGITAL ELECTRONICS

Code CMP-5027A

Credits 20

CONTINGENCIES AND MODELLING

Code CMP-5031B

Credits 20

MATHEMATICAL STATISTICS

Code CMP-5034A

Credits 20

INFORMATION RETRIEVAL

Code CMP-5036A

Credits 20

NETWORKS

Code CMP-5037B

Credits 20

TIME SERIES

Code CMP-5042B

Credits 10

LINEAR REGRESSION USING R

Code CMP-5043B

Credits 10

This is a module designed to give you the opportunity to apply linear regression techniques using R. The aim is to provide an introduction to R and then provide the specifics in linear regression.

EMBEDDED SYSTEMS

Code CMP-5045B

Credits 20

FOUNDATIONS OF DATA SCIENCE

Code CMP-5046B

Credits 20

RENEWABLE ENERGY

Code ENG-5002B

Credits 20

ENVIRONMENTAL POLITICS AND POLICY MAKING

Code ENV-5002B

Credits 20

CLIMATE CHANGE: SCIENCE AND POLICY

Code ENV-5003A

Credits 20

EXPLORING THE EARTH'S SUBSURFACE

Code ENV-5004B

Credits 20

EXPLORING THE EARTH'S SUBSURFACE WITH FIELDCOURSE

Code ENV-5005K

Credits 20

WEATHER APPLICATIONS

Code ENV-5009B

Credits 20

WEATHER APPLICATIONS WITH FIELDCOURSE

Code ENV-5010K

Credits 20

POPULATION ECOLOGY AND MANAGEMENT

Code ENV-5014A

Credits 20

OCEAN CIRCULATION

Code ENV-5016A

Credits 20

SHELF SEA DYNAMICS AND COASTAL PROCESSES

Code ENV-5017B

Credits 20

GLOBAL TECTONICS

Code ENV-5018A

Credits 20

MARINE SCIENCES FIELDCOURSE

Code ENV-5020K

Credits 20

HYDROLOGY AND HYDROGEOLOGY

Code ENV-5021A

Credits 20

GIS SKILLS FOR PROJECT WORK

Code ENV-5028B

Credits 20

GEOLOGY LAB SKILLS

Code ENV-5029B

Credits 20

GEOLOGY SKILLS

Code ENV-5030B

Credits 20

SEDIMENTOLOGY

Code ENV-5035B

Credits 20

CONSTRUCTING HUMAN GEOGRAPHIES

Code ENV-5038A

Credits 20

AQUATIC BIOGEOCHEMISTRY

Code ENV-5039B

Credits 20

SOCIAL RESEARCH SKILLS

Code ENV-5040A

Credits 20

EARTH SURFACE PROCESSES

Code ENV-5042A

Credits 20

WEATHER

Code ENV-5043A

Credits 20

ENERGY TRANSITIONS

Code ENV-5044B

Credits 20

COMPLEX FUNCTIONS AND LINEAR ALGEBRA

Code MTHA5003A

Credits 20

COMPLEX INTEGRATION AND RING THEORY

Code MTHA5003B

Credits 20

DIFFERENTIAL EQUATIONS AND APPLIED METHODS

Code MTHA5005A

Credits 20

FLUID FLOW - THEORY AND COMPUTATION

Code MTHA5005B

Credits 20

DIFFERENTIAL EQUATIONS AND LINEAR ALGEBRA

Code MTHB5008A

Credits 20

MATHEMATICS FOR SCIENTISTS B

Code MTHB5010A

Credits 20

MATHEMATICS FOR SCIENTISTS C

Code MTHB5011B

Credits 20

QUANTUM MECHANICS AND SPECIAL RELATIVITY

Code MTHF5030B

Credits 20

POINT SET TOPOLOGY AND FURTHER LINEAR ALGEBRA

Code MTHF5036A

Credits 20

TOPICS AND LABORATORY IN PHYSICS

Code PHY-5001B

Credits 20

HEAT, ATOMS AND SOLIDS

Code PHY-5004B

Credits 20

STELLAR PHYSICS

Code PHY-5005A

Credits 20

QUANTUM THEORY AND SYMMETRY

Code PHY-5250A

Credits 20

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Open Days

Important Information

Students should complete at least 100 credits in their two major subjects by the end of Year 4. The Final Project can count as 30 credits towards each major subject or 60 credits towards one major subject, depending on the topic chosen. In Year 4 students are required to take 120 credits of level 7 modules.

Assessment for Year 4

We use a variety of assessment methods across the different modules, ranging from 100% coursework to 100% examination.

You will also undertake a final year project, which will include a substantial piece of written research work and will count for 50% of your final year mark.

Compulsory Modules

MASTERS LEVEL NATURAL SCIENCES PROJECT

Code NAT-7001Y

Credits 60

This individual research module is compulsory for all students registered on the MNatSci degree programme. It comprises supervised research in at least one area of science. It may involve research partners across the Norwich Research Park. The project can involve collection of data in the laboratory or in the field, and/or development of a piece of equipment, and/or development of software or a theoretical/numerical model, and/or analysis of pre-existing data from a variety of sources. It must include independent scientific analysis. It will be assessed by a written report, a presentation and a web log maintained throughout the project.

Optional A Modules

(60 credits)

GENOMES, GENES AND GENOMICS

Code BIO-7004A

Credits 20

This module will provide you with detailed knowledge of the biological analysis of genomes. The module is split into three sections centred on a) Genome organisation, evolution and expression; b) Maintaining genome integrity; and c) Regulation of gene Expression. Your lectures will cover core processes and techniques central to genomics in biological disciplines. The later lectures you’ll have on the module are devoted to research-led teaching with many discussing genomics and new research from UEA scientists. A practical associated with this module will provide you with experience of molecular biology and the ability to critically analyse experimental data related to the taught component.

INFECTION AND IMMUNITY

Code BIO-7007B

Credits 20

Learn the biology of selected infectious microorganisms in the context of host and responses to pathogens. You’ll explore the properties of organs, cells and molecules of the immune system, along with the mechanism of antibody diversity generation and the exploitation of the immune response for vaccine development. Examples of pathogens will illustrate major virulence strategies.

EVOLUTION IN HEALTH AND DISEASE

Code BIO-7008A

Credits 20

GENETICS, GENOMICS AND BIOINFORMATICS

Code BIO-7012A

Credits 20

This module provides a Master's level introduction to the structure and function of DNA. You will cover the mechanisms of inheritance in prokaryotic and eukaryotic organisms and receive an introduction to the study of model organisms and their genomes. This will be followed by lectures that cover the contemporary 'omics' technologies used for the analysis of whole genomes, gene function and expression. Lectures and seminars that introduce the role of bioinformatics in genome biology and evolution will also be included, together with an opportunity to gain practical experience in bioinformatics. These lectures and seminars will provide you with the necessary knowledge and skills for more in-depth coverage of these topics later in the academic year, including your laboratory-based research project.

FRONTIERS IN MOLECULAR MEDICINE I

Code BIO-7017A

Credits 20

This module will help you to understand human diseases at the molecular and cellular level throughout the body. You’ll gain knowledge of the normal tissue function in question and how it changes in disease. You’ll also learn how research can identify molecular mechanisms underlying the diseases and lead to the design of tools for disease diagnosis, treatment and/or prevention. You’ll benefit from world-renowned experts in their field across the Norwich Research Park. You’ll learn about the usefulness of model organisms in research and become an expert in the gut, the cardiovascular and musculoskeletal system. Up-to-date knowledge on infection, ion channels and metabolism will complement and link the body system. A substantial part of the module is dedicated to stem cells and their risk and potential as therapeutic target. You’ll be assessed through an essay (30%) and a course test (70%) On successful completion of this module, you’ll have a solid background on the structure and function of various organ systems, associated diseases and get insight how disease mechanisms are identified in translational research. This will be transferable into your future career as a PhD student or medical-related work setting.

FRONTIERS IN MOLECULAR MEDICINE II

Code BIO-7018B

Credits 20

This module builds upon Frontiers in Molecular Medicine I. You’ll study important questions in Molecular Medicine, health and disease during problem based learning sessions. You’ll learn to understand and critically evaluate primary literature. This will help you to gain important skills for medical research, along with understanding the physiological and methodological background to address unresolved questions. You’ll also learn how to work as a team and thereby gain leadership knowledge and learn how to efficiently communicate. Working in teams, you’ll practice dissecting and understanding primary literature dealing with molecular mechanisms of disease. Each week you’ll discuss one paper/question/problem. Teams will meet three times a week. The first meeting will present the paper/question/problem and a chair for the week will be identified. The chair will allocate specific tasks to team members. The second meeting will continue the discussion and the third meeting will resolve the problem leading to a conclusion. You’ll be assessed through weekly group summaries (20%), one individual summary (25%), one unknown case report (30%) and how actively you participate to resolve the case (25%). On completion of this module you’ll be able to find, read and dissect primary literature and have deepened your knowledge of the tissues and methods discussed. You’ll also acquire management and organisational skills through acting as a Chair or Scribe during the weekly sessions and you’ll learn how to efficiently work as a team.

MULTIVARIATE STATISTICS

Code BIO-7025A

Credits 10

You will cover multivariate statistics used in advanced ecological analyses in this module. These include General Linear Models, Generalised Linear Models, Logistic Regression, Principal Components Analysis and Multivariate Community Analyses. You will learn how to run these tests using the statistical package SPSS and how to critique, interpret, and present the results.

UNIVARIATE STATISTICS

Code BIO-7026A

Credits 10

Whether this is an introduction or a refresher, you will study simple tests for trends (correlation, regression) and for differences (Chi-square, t-tests, ANOVAs). You will be introduced to these using a friendly statistical package (SPSSx for Windows). The link between statistics and experimental design is stressed.

EVOLUTIONARY BIOLOGY AND CONSERVATION GENETICS

Code BIO-7027B

Credits 10

The aim of this module is to give you a deep understanding about conservation genetics, genomics based on an evolutionary and population-genetic framework. We will cover contemporary issues in conservation biology, evolution, population biology, genetics, organismal phylogeny, Next Generation Sequencing, and molecular ecology. A background in evolution, genetics, and molecular biology is recommended. This is an advanced course in evolutionary biology and conservation genetics that will benefit you if you plan to continue with a PhD in ecology, genetics, conservation, or evolution. If you wish to deepen your knowledge in conservation, evolution or genetics then you will also benefit from this module.

ECOLOGICAL SURVEY METHODS

Code BIO-7028Y

Credits 20

This is a practical module that provides training for anyone who intends to carry out ecological research or who needs to interpret and evaluate the results of ecological surveys carried out by a third party. It offers vocational training for work with conservation agencies and ecological consultancies. It also gives preparatory training for students who will do ecological fieldwork for their MSc dissertation, or subsequent PhD. The module includes lectures, workshops, practical classes and field trips. It covers the key considerations underpinning effective ecological survey design and implementation. Following initial lectures on research planning and study design, you will explore and gain first-hand experience in a variety of methods for surveying plants, animals and habitats. This also includes the use of remote census techniques such as radio-tracking and trail cameras.

BIOSCIENCE SEMINARS

MNatSci NATURAL SCIENCES