School of Mathematics, Meteorology & Physics2).pdf · Part 3 that you are taught a module which is placed at the ‘M’, or Masters, Level. You may also sometimes find that Level

School of Mathematics, Meteorology & Physics

Faculty of Science

Module Description Handbook

for Part 1 Students

Academic Year 2008/9

Created September 2008

Disclaimer This is a guide for the convenience of students and staff. Formal Ordinances and Regulations are given in the University Calendar (http://www.reading.ac.uk/calendar/), in the Programme Specification (available at http://www.reading.ac.uk/progspecs/) and in relevant module descriptions (http://www.info.reading.ac.uk/module/); should there be, or appear to be, any conflict between statements in this handbook and the full Ordinances, Regulations, Programme Specifications or module descriptions, the latter shall prevail. Although the information in this Handbook is accurate at the time of publication, aspects of the programme and of School practice may be subject to modification and revision. The University reserves the right to modify the programme in unforeseen circumstances, or where the process of academic development and feedback from students, quality assurance processes or external sources, such as professional bodies, requires a change to be made. In such circumstances, revised information will be issued. Information provided by the School in the course of the year should therefore be regarded, where appropriate, as superseding the information contained in the handbook. Please keep this handbook in a safe place as you will need to refer to it throughout your programme.

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Contents Disclaimer……………………………………………………………….page 1 Contents page………………………………………………………….. page 2 Introduction……………………………………………………………. page 3 The University’s Modular System

Timetabling Changing a Module or Degree Course Online Module Selection Module Descriptions MA11A………………………………………………………………….. page 6 MA11B………………………………………………………………….. page 8 MA11C………………………………………………………………….. page 10 MA11D………………………………………………………………….. page 12 MT11A………………………………………………………………….. page 14 MT11B ………………………………………………………………….. page 16 MT12C………………………………………………………………….. page 18 PH1007………………………………………………………………… page 20 AS1A…………………………………………………………………….. page 23 AS1B……………………………………………………………...……… page 25 EC1F1A………………………………………………………………….. page 27 EC1F1B………………………………………………………………….. page 29 EC1F5…………………………………………………………………… page 31 PY1CA…………………………………………………………………… page 33 PY1DS…………………………………………………………………… page 35 PY1IN……………………………………………………………………. page 37 PY1PL……………………………………………………………………. page 39 PY1PR1………………………………………………………………….. page 41 PY1PR2………………………………………………………………….. page 43 SE1SA5………………………………………………………………….. page 45 SE1SC5………………………………………………………………….. page 47 SE1TQS………………………………………………………………….. page 49 LA1XXX (Language modules)………………………………………… page 51 Annexes Change of Module Form……………………………………………… page 52 Change of Status Request Form……………………………………... page 53

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Introduction This handbook contains details of modules taken in degree programmes offered by the School of Mathematics, Meteorology & Physics for Part 1 students in the Academic Year 2008/09 - as determined by the Programme Specification for your particular course. Details included are of modules provided by the School of MMP (module codes beginning MAXXX, MTXXX or PHXXX), as well as those available from other Schools & Departments. Descriptions of modules not detailed in the following pages can be found on the web at http://www.info.rdg.ac.uk/module/0809/school.htm (you can browse by Part by following the link on the right side of the screen); more detailed descriptions of modules included here may also be available. The University’s Modular System The information below is based on that in the Guide for Undergraduate Students, which is the authoritative source. Should there be any conflict between the two, the version in the Guide is correct. The University's undergraduate modular system is intended to give greater flexibility in student choice, in provision of teaching and assessment, and in the construction of programmes. Each programme has an associated Programme Specification, which is a document that sets out the requirements for each programme in terms of required modules, optional modules, pre-requisites and co-requisites. At the beginning of each part of their programme students will register for specific modules, each of which carries a credit-weighting. Assessment may take place within a module, or a module may be assessed at the end of Part 1, Part 2 or Part 3 (or Part 4 where appropriate) of the degree programme. Assessment may be based on submitted work, or on an examination, or on a combination of the two. At the end of the programme students will receive a transcript of the modules taken and the marks obtained. In the Programme Handbook, you will find Programme Specification for your programme. You will also find a copy of this Programme Specification on the web at: http://www.reading.ac.uk/progspecs As previously stated, the details within the Programme Specification are correct at the time of publication, but may change during your period of study here at Reading. The Programme Specification lists both the ‘core’ and ‘optional’ modules that it is intended will make up the Programme. This Handbook includes Module Descriptions, which give details of the teaching and assessment for particular modules. You will see that each module has a code which comprises three elements: (i) a two letter code, which indicates the School or subject area to which the

‘module’ belongs – this might not necessarily be the same as for the programme;

(ii) a single digit indicating the ‘Level’ at which the module is placed. In

general these correspond to the Parts of your programme, so that Level 1

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modules are taught in Part 1, Level 2 modules are taught in Part 2 and Level 3 modules are taught in Part 3. Occasionally some modules may be taught to students at a slightly higher or lower level, and you may find in Part 3 that you are taught a module which is placed at the ‘M’, or Masters, Level.

You may also sometimes find that Level 1 modules are referred to as being ‘C’ or ‘Certificate-level’, Level 2 modules are referred to as being ‘I’ or ‘Intermediate-level’ and Level 3 modules are referred to as being ‘H’ or ‘Honours-level’. This is because the University has to comply with a framework for degree qualifications which uses this terminology set down by the Quality Assurance Agency, the body which regulates standards in UK Higher Education.

(iii) one, two or three alpha-numeric characters which designate a single

module within the subject area/Level code. They could have mnemonic significance, or could be characters of no intrinsic meaning.

Please make sure you know your module codes & names. Sometimes different modules share lectures, it is important you know which modules you are enrolled for. Each module is assigned a credit value. The majority of modules are worth 10 or 20 credits, although it is likely that some projects or dissertations may have a higher credit value. Each credit equates approximately to 10 hours of work (including all contact hours such as lectures or classes, as well as further reading and any assessments) for the average student. Normally, each Part of a programme has a total of 120 credits (although there are some exceptions) and each programme has 360 credits in total for a three-year degree or 480 for a four-year degree. Whilst the University hopes that all undergraduate students complete their programmes, in order to allow students greater flexibility and to reward achievement it has built in two ‘stopping-off points’ so that students successfully completing Part 1 and/or Part 2, who leave the University for whatever reason, may gain a qualification. Therefore, students who successfully complete modules totalling 120 credits (normally equating to Part 1) are eligible for the award of a University Certificate in Higher Education, whilst those who successfully complete modules totalling 240 credits (which normally equates to completing Parts 1 and 2) are eligible for the award of a Diploma in Higher Education in the subject that they have been studying.

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Timetables Timetables can be found at www.reading.ac.uk/timetabling, or by following the links from the student homepage. From here you can look up the time and place of any module running in the University (you should also be able to access your individual timetable.) Instructions can be found on the Timetabling website. Changing a Module or Degree Course Students wishing to change to a different module from one they are currently enrolled in should submit a Change of Module form to the MMP School Office (Physics Building, Room 211) – modules owned by other departments should be counter-signed by the convenor of that module to confirm they are happy for you to transfer. If you wish to change the degree course you are taking, you should submit a Change of Status Request form also to the MMP School Office. Please ensure you have correctly filled out all parts of the form (front & back) as well as obtaining the necessary signatures. If you are unsure about anything, please contact your Personal Tutor or drop in to the Office where the staff will be happy to help! Copies of the forms can be found outside the MMP School Office. PLEASE SUBMIT ALL FORMS TO THE MMP SCHOOL OFFICE – DO NOT TAKE ANYTHING DIRECTLY TO THE FACULTY OFFICE. If you have a special reason to discuss your case with the Sub-Dean directly, please make sure you inform the Office of any changes that have been agreed or that are being considered. Online Module Selection You should have already received details of when & where you are to select your modules in your welcome pack. You should find the time, date and place of your module enrolment on the front cover of the “Welcome to Reading – The first week”. If you are unsure about any of this, please contact your programme advisor.

MA11A 1

MA11A-Introduction to Analysis Module Provider: Mathematics Number of credits: 20 [10ECTS credits] Level: C (Certificate) Terms in which taught: Autumn, Spring and Summer Module Convenor: Dr TW Hilberdink Pre-requisites: A-Level Mathematics Co-requisites: MA11B and MA11C Modules excluded: Module version for: 2008/9 Email: [email protected] Aims: To motivate students' appreciation of the need for proof and their ability to construct for themselves formal proofs. To develop the manipulative skills and mathematical intuition necessary for analysis. Assessable learning outcomes: By the end of the module students are expected to be able to: � use skill in logical reasoning and problem-solving; � construct simple mathematical proofs; � manipulate simple inequalities; � use the idea of limit of a sequence and sum of an infinite series; � use the ideas of supremum and infimum. Additional outcomes: Outline content: Analysis could be summarised as dealing with the idea of the limit. In order to do this we need some preliminaries and this course accordingly falls into two parts. The first half deals with the nature of the number system, the ideas and techniques of proof and a section developing the skills of dealing with series, decimals and inequalities. The second half considers the structure and defining properties of the real number system and of sets of real numbers, and applies these ideas to the concept of the limit of an infinite sequence. Brief description of teaching and learning methods: Lectures supported by practical classes

6

mailto:[email protected]

MA11A 2

Contact hours: Autumn Spring Summer Lectures 20 20 4 Tutorials/seminars Practicals 8 8 Other contact (eg study visits)

4

Total hours 28 28 8 Number of essays or assignments

8 9 0

Other (eg major seminar paper)

Assessment: Coursework: One piece of assessed work in each of the Christmas and Easter vacations each contributing 10% Relative percentage of coursework: 20% Examinations A three hour exam. This contributes 80% of the overall assessment. Requirements for a pass A mark of 40% overall. Reassessment arrangements Re-examination in August/September only. 100%

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MA11B 1

MA11B-Calculus and Applications

Module Provider: Mathematics Number of credits: 20 [10ECTS credits] Level: C (Certificate) Terms in which taught: Autumn, Spring and Summer Module Convenor: Dr TW Hilberdink Pre-requisites: A-Level Mathematics Co-requisites: Modules excluded: Module version for: 2008/9 Email: [email protected] Aims: To build and develop students' manipulative skills and their mathematical intuition. To develop students' grasp of calculus and their modelling skills. Assessable learning outcomes: By the end of the module students are expected to be able to: � demonstrate problem-solving skills; � differentiate and integrate simple functions; � find maxima and minima; � solve elementary differential equations; � model simple applications; � classify critical points of simple systems. Additional outcomes: Students will acquire skill in using the computer package Maple. Outline content: This unit reinforces and extends the calculus-based topics encountered in school courses. Its objectives are to introduce some of the basic "tools of the trade" and to develop the skills required to solve a range of problems using these tools. The backbone of the course is differential and integral calculus, which is developed intuitively rather than by means of rigorous proofs. One of the principal applications is to differential equations, which arise in a wide variety of problem areas because many mathematical models of physical, biological and other phenomena involve rates of change, i.e. derivatives. Some simple modelling will be used to motivate and illustrate differential equation theory. Other applications will also be dealt with, especially in the areas of analytic geometry and approximation theory. Brief description of teaching and learning methods: Lectures supported by instructor groups

8


MA11B 2

Contact hours: Autumn Spring Summer Lectures 20 20 4 Tutorials/seminars 8 8 Practicals Other contact (eg study visits)


8 9 0



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MA11C 1

MA11C-Matrices, Vectors and Applications Module Provider: Mathematics Number of credits: 20 [10ECTS credits] Level: C (Certificate) Terms in which taught: Autumn, Spring and Summer Module Convenor: Dr TW Hilberdink Pre-requisites: A-Level Mathematics Co-requisites: MA11B Modules excluded: Module version for: 2008/9 Email: [email protected] Aims: To introduce matrix algebra as a structure for describing and solving simultaneous equations and develop students' skills in the associated algebra.. To introduce complex numbers and vectors in two or three dimensions and demonstrate their usefulness. Assessable learning outcomes: By the end of the module students are expected to be able to: � demonstrate problem-solving skills; � carry out matrix operations, � carry out calculations using complex numbers and vectors, � solve simultaneous equations, � find eigenvalues and eigenvectors of a matirx. Additional outcomes: Students will acquire some skill in using the computer package MATLAB. Outline content: This unit seeks to reinforce and extend pre-University mathematics courses by developing students' skills in those aspects algebra of particular use in applications. Topics are chosen to link in with students' pre-University experience and in particular to introduce or extend their knowledge of matrix and vector methods, techniques which allow the simple and efficient handling what would otherwise be messy problems. Brief description of teaching and learning methods: Lectures supported by instructor groups

10


MA11C 2

Contact hours: Autumn Spring Summer Lectures 20 20 4 Tutorials/seminars 8 8 Practicals Other contact (eg study visits)


8 9 0



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MA11D 1

MA11D-Introduction to Algebra Module Provider: Mathematics Number of credits: 20 [10ECTS credits] Level: C (Certificate) Terms in which taught: Autumn, Spring and Summer Module Convenor: Dr TW Hilberdink Pre-requisites: A-Level Mathematics Co-requisites: MA11B MA11C Modules excluded: MA24G Module version for: 2008/9 Email: [email protected] Aims: To introduce, by considering problems in which they are required, the main ideas of set theory, functions and the "language" of mathematics. To introduce the idea of developing an area of mathematics from axioms, and illustrate this by developing suitable algebraic structures and deriving their properties. Assessable learning outcomes: By the end of the module students are expected to be able to: � carry out simple instructions involving sets; � manipulate the concept of function; � identify groups and rings and prove simple properties of groups; � recognise and use equivalence relations. Additional outcomes: At the end of the course students will have acquired some skill in logical reasoning. Outline content: After an introduction to ideas about sets, functions and binary operations, the course studies the properties of the mathematical structures known as groups and rings, i.e., sets in which an operation of multiplication, or two operations of addition and multiplication, behave in accordance with certain basic axioms. This provides both an understanding of the common properties of many different kinds of mathematical objects which can be added or multiplied and insight into the differences between them. Brief description of teaching and learning methods: Lectures supported by practical classes

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MA11D 2


4


8 9 0



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MT11A 1

MT11A-Introduction to Atmospheric Science Module Provider: Meteorology Number of credits: 20 [10ECTS credits] Terms in which taught: Autumn and Spring Module Convenor: Mr R Reynolds Pre-requisites: Co-requisites: Modules excluded: Module version for: 2008/9 Email: [email protected] Aims: This module aims to provide the student with a basic understanding and appreciation of selected physical laws and concepts required to explain the basic workings of the atmosphere and the observational networks used to measure atmosphere structure and composition. It aims also to provide knowledge and understanding of global mean seasonal patterns of atmospheric variables and their inter-relationships, of the basic nature of selected weather disturbances and of how the atmosphere is predicted. Assessable learning outcomes: By the end of the module, the student should be able to: Describe and explain the basic structure and composition of the atmosphere, and the nature and significance of observational networks Understand basic physical laws and concepts and their significance to the atmosphere Understand and be able to explain the components of the Surface Energy Budget Understand and be able to explain the basic characteristics of airmasses, selected types of weather disturbance and the modern methods used to predict weather Identify the main cloud types and understand the processes that produce them Understand the workings of selected global phenomena such as El Nino Additional outcomes: The use of physical laws/concepts has a direct link to the parallel course on Weather Systems Analysis Outline content: Atmospheric composition and structure Observing the atmosphere Dry and moist thermodynamics Radiation laws and simple models Atmosphere/surface interactions Global seasonally averaged patterns Airmasses, weather systems and forecasting Clouds and precipitation El Nino and teleconnections Brief description of teaching and learning methods: Principally through lectures combined with occasional problem-solving sessions (within lecture periods) an a weekly brief presentation of current and predicted weather.

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MT11A 2

Contact hours: Autumn Spring Summer Lectures 16 16 Tutorials/seminars 4 4 Practicals Other contact (eg study visits)

Total hours 20 20 Number of essays or assignments

2 2


Assessment: Coursework Consists of two online quizzes, a cloud quiz during a lecture, and an essay. Relative percentage of coursework: 40% Penalties for late submission 10% of maximum mark up to five working days late. Zero mark after five working days. Examinations One 1.5 hour paper in term 3. Students are required to answer 2 out of 3 questions. Requirements for a pass 40% overall Reassessment arrangements Resit examination only in August/September. 100%

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MT11B 1

MT11B-Weather Systems Analysis Module Provider: Meteorology Number of credits: 20 [10ECTS credits] Terms in which taught: Autumn and Spring Module Convenor: Dr DIF Grimes Pre-requisites: Co-requisites: MT11A Modules excluded: Module version for: 2008/9 Email: [email protected] Aims: This module aims to develop the student's skills in the application of basic physical principles to middle latitude weather systems. Assessable learning outcomes: By the end of this module the student should be able to: Demonstrate and develop skills in scientific problem solving Write down formulae for the forces acting on air parcels and apply these using real data Analyse surface and upper air observations to identify fronts, depressions and anticyclones Apply the first law of thermodynamics to air parcels and understand thermodynamic processes on a tephigram Use a combination of atmospheric data fields to identify the evolution of weather systems Additional outcomes: This module will enhance general problem solving skills and skills in meteorological data analysis. Outline content: Theory lectures: Atmospheric physics: first law of thermodynamics for an air parcel, theory of thermodynamic diagrams and processes Dynamics: Forces acting on air parcels, pressure gradient force, Coriolis force, drag, forces in balance: hydrostatic, geostrophic and gradient wind. Thermodynamics: Thermodynamics of saturated air parcels: humidity mixing ratio, saturated adiabats, lifting condensation level, stability (and how to recognise it on a tephigram), thermal wind balance, thermal advection Weather systems: mass conservation, divergence and vertical motion, vorticity, ageostrophic flow, vertical motion, jets, contribution of vertical motion to development of extratropical weather systems, frontogenesis Practicals: Synoptic observations and isobaric charts, frontal analysis, systems analysis, plotting and analysis of tephigrams, isotherms, dry adiabats, upper air and thickness charts.

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MT11B 2

Brief description of teaching and learning methods: Around 20 50 minute theory lectures, 20 50 minute tutorial sessions concerned with module problem sheets, 20 110-minute practical classes comprising of a mixture of chart analysis and scientific problem solving. Contact hours: Autumn Spring Summer Lectures 10 10 Tutorials/seminars 10 10 Practicals 20 20 Other contact (eg study visits)


6 tutorial sheets & 8 practicals

5 tutorial sheets & 8 practicals


Assessment: Coursework Practical exercises based on analysis of meteorological charts. In the first term, 8 of these will be assessed, in the second term, 4 will be assessed. Relative percentage of coursework: 50 Examinations One 1.5 hour examination paper. The student is required to answer 2 out of 3 questions Requirements for a pass 40% overall Reassessment arrangements Resit examination only in August/September. 100%

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MT12C 1

MT12C-Skills for Environmental Science Module Provider: Meteorology Number of credits: 20 [10ECTS credits] Terms in which taught: Spring and Summer Module Convenor: Dr RG Harrison Pre-requisites: Co-requisites: Modules excluded: Module version for: 2008/9 Email: [email protected] Aims: a) To introduce the instruments and techniques used to measure meteorological parameters, and to appreciate their limitations and errors b) To develop skills in computer programming useful in environmental science, for data processing and analysis Assessable learning outcomes: By the end of this module the student should be able to demonstrate: � A knowledge of meteorological instruments and their application � An ability to undertake basic experiments in a physical laboratory � An ability to communicate experimental results in a concise, accurate and comprehensible manner � Ability to understand basic computer programming principles � Ability to construct a simple computer program to perform logical and numerical operations � Ability to perform simple data processing tasks using a computer program and spreadsheet tools Additional outcomes: The student will enhance teamworking and experimental skills Outline content: Characteristics of instruments for environmental measurement: response, sensitivity, lag, sampling and error analysis The design, operation and calibration of instruments used to measure temperature, humidity, wind, pressure, atmospheric radiation and rainfall. File management and the Windows operating system. Computer programming for data analysis and logical decision making. Transfer of text and data to spreadsheet programs for analysis. Brief description of teaching and learning methods: The instrumentation component is taught in term 2 and involves 10 50-minute lectures plus approximately 15 hours of laboratory work. The IT component is taught in the first three to four weeks in term 3 and involves practical classes with a strong self-learning element supported by notes and demonstrations.

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MT12C 2

Contact hours: Autumn Spring Summer Lectures 10 Tutorials/seminars Practicals 15 18 Other contact (eg study visits)



Assessment: Coursework For the instruments component, the student is required to submit three reports and a laboratory notebook for assessment. For the IT component, the student is required to take part in all sessions, and submit work from three exercises for assessment. Relative percentage of coursework: 100 Examinations none Requirements for a pass 40% overall Reassessment arrangements August/September examination only, 100%

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PH1007 1

PH1007-Classical Physics and the Great Ideas in Physics Module Provider: Physics Number of credits: 20 [10ECTS credits] Level: C (Certificate) Terms in which taught: Autumn and Spring Module Convenor: Dr RJ Stewart Pre-requisites: Co-requisites: Modules excluded: Module version for: 2008/9 Email: [email protected] Aims: In the Autumn term the module aims to prepare students for their forthcoming studies by providing an inspiring account of what are, in the opinion of the lecturer, The Great Ideas Physics. In the Spring term classical mechanics is taught with the aim of providing students with an understanding of fundamental topics in classical mechanics and vector algebra. An additional aim is the development of problem solving skills in classical mechanics using vector algebra, simple calculus and algebra. Assessable learning outcomes: After the module each student should be able to: � Describe the Great Ideas in Physics covered, how they were conceived and what validity they have; � Solve basic physical problems, such as introductory relativistic or uncertainty principle calculations; � Engage in the mathematics relevant to the physical theories covered in the course; � Use rectangular, cylindrical and spherical co-ordinate frames � Apply the concepts of vector addition, vector subtraction, position vectors, displacement vectors, component vectors and unit vectors to problems in classical mechanics. Define and use scalar and vector products � Apply Newton's laws of motion � Solve problems in rectilinear motion including those involving time dependent acceleration. � Solve problems involving the motion of projectiles � Define and apply the concepts of the work done by a force. � Explain the concepts of conservation of energy and momentum and use them to solve problems in classical mechanics � Develop the velocity and acceleration in circular motion in vector form and apply these to solve problems in classical mechanics � Define angular velocity, torque and angular momentum in vector form and apply them to problems in rotational motion � Apply the conservation of angular momentum to problems involving a central force � Develop the idea of centre of mass � Define dynamic equilibrium � Explain the concept of conservative and non-conservative forces � Define simple harmonic motion and apply the ideas to problems involving oscillations in mechanical systems including the effects of damping

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PH1007 2

� Apply Newton's law of gravitation � Describe the Cavendish experiment to determine G � Define gravitational potential energy and use it to solve problems. Derive the formulae for the escape velocity from the gravitational potential of a massive object. Explain the low concentration of hydrogen and helium in the atmosphere of the earth � Use the idea of the total energy to describe the elliptical and circular orbits of planets about the sun and satellites about the earth � Define and apply Kepler's laws. Derive the second and third law. Additional outcomes: Outline content: The first part of the module develops the Great Ideas in Physics, emphasizing the importance of the empirical scientific method approach. In the classical mechanics part of the module the following topics are discussed Co-ordinate frames (Cartesian, cylindrical and spherical co-ordinates); Vectors (position vectors, displacement vectors, vector summation, multiplication by a scalar, components of a vector, unit vectors, scalar and vector products, angle between vectors); Basic forces: relative magnitudes and strengths; Newton's law of motion; Rectilinear motion (use of differential calculus to define the instantaneous velocity and acceleration, time dependent acceleration); Conservation of energy and momentum in collisions; Work done by a force; Motion of projectiles; Circular motion (centripetal force, angular frequency, angular acceleration, vector representation of acceleration and velocity, angular velocity, torque and angular momentum as a vectors, the relationship between torque and angular momentum); Conservation of angular momentum; Central forces; Centre of mass (centre of gravity); Motion of projectiles; Reduced mass; Dynamic equilibrium; Couple; Conservative and non-conservative forces; Potent energy; Law of conservation of mechanical energy; Potential wells; Newton's law of gravitation; Cavendish experiment; Relationship between Universal Gravitational constant and the acceleration due to gravity; Gravitational field strength; Gravitational potential energy; Escape velocity; Satellites orbiting a planet; Energy in circular orbits; Planetary motion; Kepler's laws. Brief description of teaching and learning methods: The Great Ideas part of this module is taught through a series of weekly lectures during which the development of the main concepts used in physics is presented In the Autumn term the observation-theory-experiment cycle that leads to a deep understanding of the laws of physics is emphasized. The students are recommended to read the following books to complement the lectures: “Physics for Scientists and Engineers” by Raymond Serway and John Jewett, "Physics For Poets" by Robert H. March and "Seven Ideas That Shook The Universe" by Nathan Speilberg and Bryon D. Anderson. An extensive additional reading list is also provided. The lectures are supplemented by weekly workshops, where the questions are at a level that stretches students to improve their understanding of the topic without making inappropriate mathematical demands. There is a mixture of assessed examples and 'just for fun' examples which the students are expected to research and discuss amongst themselves in the workshops, with guidance from the lecturer.

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PH1007 3

Contact hours: Autumn Spring Summer Lectures 10 x 2hr 20 Tutorials/seminars 10 10 By request Practicals Other contact (eg study visits)


4


Assessment: In the Spring term about 30 problems are done during the supervised workshop sessions. The final grade awarded for completing this module is obtained in three parts. Firstly there is an open book departmental examination at the end of the Spring term on the Classical Mechanics part of the module. In this examination, which contributes 20% of the total final assessment, students have to answer 2 questions in one hour from a choice of three. During the Autumn term, for Great Ideas, a number of assessed problems will be set and marked, the marks obtained again contribute 20% of the total final assessment. The remaining 60 % of the assessment is by means of a formal two hour examination. Weight : Assessed examples 20% Open Book Examination in Classical Mechanics 20% Examinations: One two-hour Examination in May/June, 60% Requirements for a pass: 40% Reassessment arrangements: One three hour examination in August/September, 100%

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AS1A 1

AS1A-Communicating with Statistics Module Provider: Applied Statistics Number of credits: 20 [10ECTS credits] Terms in which taught: Autumn, Spring and Summer Module Convenor: Dr HJ Kimber Pre-requisites: A-level Mathematics or AS1C as a co-requisite Co-requisites: AS1B Modules excluded: Module version for: 2008/9 Email: [email protected] Aims: The aim of this module is to introduce students to essential concepts in statistics. The role of statistical ideas in the communication of information will be emphasised through examples drawn from areas such as agriculture, biology, industry and medicine. The use of the software package MINITAB for computer-based data analysis will be described and illustrated. The module will describe the use of graphical, tabular and numerical methods for summarising data in exploratory data analysis. Some fundamental techniques for statistical inference will be covered, including the role of the normal distribution, estimation of confidence intervals and hypothesis tests. Assessable learning outcomes: On completion of this module students will have acquired: � an appreciation of methods for summarising a single sample of data; � the ability to select appropriate methods for describing a simple set of data; � an appreciation of how randomisation is used in surveys and experiments to produce trustworthy data; � an appreciation of the idea of drawing inferences about a population from sample data using estimation, confidence intervals and hypothesis tests; � the knowledge to carry out simple statistical analyses using MINITAB. Additional outcomes: Outline content: Basic concepts and applications of statistics; the production of data from experiments and surveys. Introduction to statistical computing and the use of MINITAB. Graphical and tabular display of data and their role in exploratory data analysis. Descriptive statistics. Report writing and the use of Word. Introduction to random variables; the normal distribution. Estimation of mean and variance. Confidence intervals for a true mean and for the difference between two means. Hypothesis tests for one and two samples. Sample size calculations and power.

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AS1A 2

Recommended reading: Clarke, G M and Cooke, D (1991). A Basic Course in Statistics. Arnold. Moore, D S (1997). Statistics. Concepts and Controversies. W H Freeman. Brief description of teaching and learning methods: Lectures supported by tutorials and computer practicals Contact hours: Autumn Spring Summer Lectures 11 13 Tutorials/seminars 1 2 6 Practicals 6 5 Other contact (eg study visits)

1


2 3


Assessment: Coursework Five Exercise sheets Relative percentage of coursework : 20% Penalties for late submission Penalties for late submission of course work will be in accordance with University policy. Examinations One paper of 3 hours duration Weight: 80% Requirements for a pass: An overall mark of at least 40% Reassessment arrangements One examination paper of 3 hours duration in August/September

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AS1B 1

AS1B-Probability and Statistical Methods Module Provider: Applied Statistics Number of credits: 20 [10ECTS credits] Terms in which taught: Autumn, Spring and Summer Module Convenor: Dr HJ Kimber Pre-requisites: A-level Mathematics or AS1C as a co-requisite Co-requisites: AS1A Modules excluded: Module version for: 2008/9 Email: [email protected] Aims: This module provides an introduction to probability, a subject that underlies all statistical methods. Topics covered include the definition and measurement of uncertainty, the manipulation of probability statements and an introduction to probability distributions. This module also introduces techniques used in the planning and analysis of experiments. In the analysis of the resulting data, much use is made of statistical models. Some simple models will be described and their role in data analysis illustrated. Assessable learning outcomes: On completion of this module students will have acquired: � familiarity with the key concepts of probability; � the ability to calculate and manipulate probabilities in simple problems; � awareness of the concept of a random variable and its properties; � an appreciation of the nature of a statistical model; � the ability to fit a straight line to data; � familiarity with basic principles of experimental design and analysis of variance; � the knowledge to carry out simple statistical analyses using MINITAB. Additional outcomes: Outline content: � Views of probability; definitions of sample spaces, outcomes and events; calculating probabilities for problems with equally likely outcomes; the axioms of probability; notions of conditional probability and independence; the law of total probability and Bayes' theorem. � An introduction to discrete random variables and their properties, including the Binomial, Poisson and Geometric random variables. � Introduction to sampling and experiments. Statistical modelling and some applications. The simple linear regression model; fitting a straight line; testing the significance of a regression relationship; analysis of variance. � An introduction to the principles of experimental design. The completely randomised design; analysis of variance; treatment comparisons. � Categorical data analysis. Contingency tables; the chi-squared test.

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AS1B 2

Recommended reading: Clarke, G M and Cooke, D (1998) A Basic Course in Statistics. Arnold. McColl, J H (1995) Probability. Arnold. Mead, R, Curnow, R N and Hasted, A M (1992) Statistical Methods in Agriculture and Experimental Biology. Chapman & Hall. Brief description of teaching and learning methods: Lectures, supported by tutorials and computer practicals. Contact hours: Autumn Spring Summer Lectures 14 11 Tutorials/seminars 2 2 6 Practicals 4 7 Other contact (eg study visits)


2 2


Assessment: Coursework Four exercise sheets. Relative percentage of coursework :Weight: 20% Penalties for late submission Penalties for late submission of course work will be in accordance with University policy. Examinations One paper of 3 hours duration Weight: 80% Requirements for a pass An overall mark of at least 40% Reassessment arrangements One examination paper of 3 hours duration

26

EC1F1A 1

EC1F1A-Introductory Microeconomics Module Provider: Economics Number of credits: 20 [10ECTS credits] Terms in which taught: Autumn Module Convenor: Dr P Mossay Pre-requisites: Co-requisites: Modules excluded: EC103 andEC104 Module version for: 2008/9 Email: [email protected] Aims: To introduce students to the economic analysis of decision-making, how markets work, and why they sometimes fail. To enable students to progress to the study of intermediate level microeconomics. Assessable learning outcomes: At the end of the module students should be able to explain and demonstrate a critical understanding of the above principles. They should be able to apply these principles to various practical and policy issues. Additional outcomes: Outline content: Making rational decisions; demand and supply; the market mechanism; elasticity; applied demand and supply analysis; market efficiency and market failure. Business behaviour: production; cost; perfect competition and profit maximisation; pricing in pure monopoly; economies of scale and pricing in oligopoly; barriers to entry and long-run competition; market structure, prices and economic policy; comparative advantage and international trade; strategic interactions. Brief description of teaching and learning methods: The lectures will cover all the basic course material. Classes will cover regular exercise material based on lecture topics and will provide time for students to ask questions about the lecture material. Contact hours: Autumn Spring Summer Lectures 20 x 1 hr 1 x 1 hr Tutorials/seminars 9 x 1 hr 1 x 1 hr Practicals Other contact (eg study visits)


1 multiple choice test; 1 problem set


27


EC1F1A 2

Assessment: Coursework Coursework will be set for most of the weekly classes, at which attendance is compulsory. One assessed multiple choice test and one assessed problem set will be set, each piece of assessed work counting for 10% of the final mark for the module. Relative percentage of coursework Assessed elements of the coursework have a weight of 20% in the final assessment. Penalties for late submission Penalties for late submission will be in accordance with the University policy. Examination One 1½-hour unseen written paper. Part 1 examinations begin in the fifth week of the Summer term. Requirements for a pass A minimum mark of 40%. Reassessment arrangements Re-examination for Part 1 modules takes place in August/September of the same year. Reassessment is by examination only (coursework will not be included in the reassessment).

28

EC1F1B 1

EC1F1B-Introductory Macroeconomics Module Provider: Economics Number of credits: 20 [10ECTS credits] Terms in which taught: Spring Module Convenor: Dr S McKnight Pre-requisites: EC1F1A Co-requisites: Modules excluded: EC103EC104 Module version for: 2008/9 Email: [email protected] Aims: The primary focus of this module is on introducing students to the major concepts, growth, inflation, unemployment and interest rates, and the interrelationships between these macroeconomic variables. In addition students will also obtain a better understanding of 1) determination of national income, 2) aggregate demand and the impact of fiscal policy, 3) money and the role of monetary policy in a closed economy 4) aggregate supply and 5) unemployment, inflation and the Phillips curve. Assessable learning outcomes: Students should be able to describe the four major concepts in macroeconomics. In addition they should have a basic understanding of how they are related and also the role for fiscal and monetary policy in shaping macroeconomic outcomes. Finally, they should be able to use the above to carry out basic analysis of practical and policy issues related to the macroeconomy. Additional outcomes: Students will be required to complete coursework such as problem sets, tests, essays, presentations, etc. In the process of completing these types of assignments, they must learn skills required to do relevant research, write reports, produce concise relevant presentations, understand technical articles, and apply theoretical knowledge to real world situations. Outline content: Basic topics include: Understanding the determinants of national income and aggregate demand; understanding the determinants of short run and long run aggregate supply; understanding what constitutes equilibrium in the goods and money markets; the role of monetary and fiscal policy in impacting equilibrium; and understanding the relationship between inflation and unemployment. Brief description of teaching and learning methods: Detailed guidance on the topics covered will be provided in the 19 x 1 hour lectures (two lectures per week). Classes will cover regular exercise material based on lecture topics and will provide time for students to ask questions about the lecture material. Students may be required to do exercises corresponding to each topic, to read a significant amount of related articles, and to undertake research using the library, internet, etc.

29


EC1F1B 2

Contact hours: Autumn Spring Summer Lectures 19 x 1 hr 1 x 1 hr Tutorials/seminars 9 x 1 hr 1 x 1 hr Practicals Other contact (eg study visits)


1 problem set; 1 in-class test


Assessment: Coursework Coursework will include a number of different methods for assessing student’s knowledge. These may include, but are not limited to: Problem Sets: Numerous short assignments requiring students to provide short answers and numerically solve relevant problems. Essay: A written work intended to allow the student to demonstrate his/her ability to synthesize many of the concepts covered throughout the term. Usually 1000-3000 words in length, original in nature, and due by a specific date. Quizzes: Short tests intended to ascertain students understanding of recent topics discussed in class. Test: An in-class exam aimed primarily at ascertaining a student’s understanding and comprehension of a subset of the materials covered during lectures. While quizzes, problem sets, short essays, etc. may be used throughout the term, there will be only two pieces of coursework which will count towards the determination of the final mark. A take-home problem set (handed out during lecture and returned to the appropriate submission box in the department) will count for 10% of the grade. In addition, there will be one, in-class test (during lecture time). The test will consist of multiple choice and short answer questions and will count for 10% of the final grade. Relative percentage of coursework - Assessed elements of the coursework have a weight of 20% in the final assessment, as described above. Penalties for late submission - Penalties for late submission will be in accordance with the University policy. Examination - One 1½-hour unseen written paper. Part 1 examinations begin in the fifth week of the Summer term. Requirements for a pass - A minimum mark of 40%. Reassessment arrangements - Re-examination for Part 1 modules takes place in August/September of the same year. Reassessment is by examination only (coursework will not be included in the re-assessment).

30

EC1F5 1

EC1F5-Introductory Quantitative Techniques Module Provider: Economics Number of credits: 20 [10ECTS credits] Level: C (Certificate) Terms in which taught: Autumn and Spring Module Convenor: Dr F Martellosio Pre-requisites: Grade B GCSE Maths Co-requisites: Modules excluded: Module version for: 2008/9 Email: [email protected] Aims: Assessable learning outcomes: To undertake quantitative problem solving across a range of subjects taught within the Business School. Additional outcomes: Outline content: Data in practice; index numbers; growth rates and compound interest; descriptive statistics; correlation; random variables and normal distribution; economic, management and financial applications. Brief description of teaching and learning methods: The module offers an introduction to a range of quantitative techniques applicable in economics, management and finance. Lectures cover the main module material, supported by weekly classes. Contact hours: Autumn Spring Summer Lectures 16 x 1 hr 16 x 1 hr 2 x 1 hr Tutorials/seminars 8 x 1 hr 9 x 1 hr 2 x 1 hr Practicals Other contact (eg study visits)


1 assessed test 1 assessed test


31


EC1F5 2

Assessment: Coursework Weekly problem sets; 2 assessed tests. Relative percentage of coursework Each assessed test will have a weight of 10% in the final assessment mark. Penalties for late submission Penalties for late submission will be in accordance with the University policy. Examination One 3-hour unseen written paper. Part 1 examinations begin in the fifth week of the Summer term. Requirements for a pass A minimum mark of 40%. Reassessment arrangements Re-examination for Part 1 modules takes place in August/September of the same year. Reassessment is by examination only (coursework will not be included in the re-assessment).

32

PY1CA 1

PY1CA-Cognition and Applied Psychology Module Provider: Psychology Number of credits: 10 [5ECTS credits] Terms in which taught: Spring Module Convenor: Dr DC Richardson Pre-requisites: Co-requisites: Modules excluded: Module version for: 2008/9 Email: [email protected] Aims: The aim of the module is that students should learn about basic concepts, theories and data in cognitive psychology, and become acquainted with the methods and results of research that provides evidence relevant to this area. In addition it will provide examples of how psychological research in cognition and related areas has given rise to practical applications. The module will provide the background information for laboratory experiments, and some additional data, for use in module PY1PR2, and is therefore best taken in conjunction with PY1PR2, but can be taken separately from it. Assessable learning outcomes: By the end of the module the student will be able to: � Show knowledge of concepts, theories and supporting research evidence in cognitive and applied psychology, in a variety of forms such as written examination and test answers. Additional outcomes: Students will be expected to apply relevant knowledge of cognitive psychology, when introducing and discussing laboratory class experiments in the practical reports required as part of module PY1PR2, where this is taken. Data relevant to this module may be collected in one of the lectures (e.g. from a naturalistic experiment on eyewitness testimony) so that students will gain direct experience of a less formal, non-laboratory research technique used in cognitive psychology. Outline content: Introduction to cognitive psychology; basic processes in attention and memory; the study of additional topics such as human error and accidents, eyewitness testimony, amnesia. Examples of practical applications of experimental psychology. Brief description of teaching and learning methods: (a) Lectures including demonstrations, e.g. of memory phenomena (b) Recommended reading from texts

33


PY1CA 2

Contact hours: Autumn Spring Summer Lectures 9 Tutorials/seminars Practicals Other contact (eg study visits)

Total hours 9 Number of essays or assignments


Assessment: Coursework none Relative percentage of coursework : 0% Examinations One 1.5 hour unseen exam in Summer Term. Percentage of overall assessment 100%. Requirements for a pass A mark of 40% overall Reassessment arrangements Re-examination in August/September

34

PY1DS 1

PY1DS-Developmental and Social Psychology Module Provider: Psychology Number of credits: 10 [5ECTS credits] Terms in which taught: Spring Module Convenor: Dr MJ Williams Pre-requisites: Co-requisites: Modules excluded: Module version for: 2008/9 Email: [email protected] Aims: The aim of the module is that students should learn about basic concepts, theories and data in developmental and social psychology, and become acquainted with the methods and results of research that provides evidence relevant to these areas. Assessable learning outcomes: By the end of the module the student will be able to: � Show knowledge of concepts, theories and supporting research evidence in developmental and social psychology, in a variety of forms such as written examination and test answers Additional outcomes: Data relevant to this module may be collected in one or more of the lectures (e.g. students will complete an attitude questionnaire). Thus students may gain direct experience of the kinds of methods used in social or developmental psychology. Outline content: Developmental: early socialisation, development of cognition and intelligence, language development, social behaviour in development, atypical development. Social: social cognition, social influence, impression formation, social interaction, individual differences. Brief description of teaching and learning methods: (a) Lectures including data collection experience e.g. opinion questionnaire (b) Recommended reading from texts

35


PY1DS 2




Assessment: Coursework none Examinations One 1.5 hour unseen exam in Summer Term. Percentage of overall assessment 100%. Requirements for a pass A mark of 40% overall Reassessment arrangements Exams: re-examination in August/September only

36

PY1IN 1

PY1IN-Introduction to Neuroscience Module Provider: Psychology Number of credits: 10 [5ECTS credits] Terms in which taught: Autumn Module Convenor: Dr C Williams Pre-requisites: Co-requisites: Modules excluded: Module version for: 2008/9 Email: [email protected] Aims: The aim of the module is that students should learn basic information, terminology and concepts relating to the structure and function of the nervous system of humans (and other mammals) and its early development; and become familiar with some applications of neuroscience, for example to the understanding of human perception, substance abuse, abnormal psychology. Assessable learning outcomes: By the end of the module the student will be able to: � Show knowledge of the structure and function of the mammalian (especially human) nervous system, in a variety of forms such as written examination and test answers, or diagrams, or interactive computer programs Additional outcomes: Outline content: The central nervous system of humans and other mammals: structure and function including basic neuropharmacology. Applications of neuroscience to topics such as visual perception, sensory development, motivation, substance abuse, depression, schizophrenia Brief description of teaching and learning methods: (a) Lectures (b) Recommended reading from texts Contact hours: Autumn Spring Summer Lectures 9 Tutorials/seminars Practicals Other contact (eg study visits)



37


PY1IN 2


38

PY1PL 1

PY1PL-Perception and Learning Module Provider: Psychology Number of credits: 10 [5ECTS credits] Level: C (Certificate) Terms in which taught: Autumn Module Convenor: Dr EA Gaffan Pre-requisites: PY1PL is a co-requisite for students taking degrees in Psychology only. Maximum no of students: 200. Co-requisites: Modules excluded: Module version for: 2008/9 Email: [email protected] Aims: The aim of the module is that students should learn about basic concepts, theories and data in three fundamental areas of experimental psychology, namely visual perception, auditory perception, and learning; and should become acquainted with the methods and results of research that provides evidence relevant to these areas. The module provides the background information for the laboratory class experiments in module PY1PR1. Assessable learning outcomes: By the end of the module the student will be able to: � Show knowledge of concepts, theories and supporting research evidence in the areas of perception and learning, in a variety of forms such as written examination and test answers, or diagrams, or a coursework essay Additional outcomes: Students will be expected to apply relevant knowledge of perception and learning, when introducing and discussing laboratory class experiments in the practical reports required as part of the co-requisite module PY1PR1. Outline content: Visual perception: visual development, principles of vision, vision and movement, object recognition, perception and skill. Auditory perception: elements of auditory information, hearing loss, auditory space, binaural hearing, auditory frequency analysis and grouping. Learning: simple forms of associative and nonassociative learning, cognitive analysis of associative learning, psychobiology of learning. Brief description of teaching and learning methods: (d) Lectures including demonstrations e.g. of perceptual phenomena (e) Recommended reading from texts

39


PY1PL 2





40

PY1PR1 1

PY1PR1-Psychological Research 1 Module Provider: Psychology Number of credits: 10 [5ECTS credits] Terms in which taught: Autumn Module Convenor: Dr DT Field Pre-requisites: Co-requisites: Modules excluded: Module version for: 2008/9 Email: [email protected] Aims: The aims of the module are that the student should appreciate the purpose and value of the experimental method in Psychology; learn how psychological experiments are implemented and reported; and learn some techniques for presenting experimental data and making statistical comparisons between conditions. Assessable learning outcomes: By the end of the module the student will be able to: � Write reports on laboratory class experiments related to topics being taught in the current term; explain their aims and design; and present, analyse and discuss the data � Show a required standard of knowledge about experimental design and the choice of an appropriate statistical techniques for analysing a provided set of data � Use a statistical package to compute the descriptive and inferential statistics that have been taught, and generate graphs and tables Additional outcomes: Students will participate in research studies being conducted in the School, and thereby enhance their knowledge of experimental methodology and apply their knowledge of experimental design and procedure to real examples. Outline content: Experimental and non-experimental research methods in Psychology and their interpretation. Principles of experimental design, between- and within-subject designs, control procedures. Descriptive statistics, measures of central tendency and variability. Inferential statistical procedures for comparing two treatments. Use of a special-purpose statistical package (SPSS) to present and analyse data. Laboratory class experiments with content linked to a concurrent lecture module, PY1PL Perception & Learning, and exemplifying the design and analysis techniques that have been taught in PY1PR1. Participation in research studies. Brief description of teaching and learning methods: (a) Lectures and practical workshops (including use of the SPSS statistical package), covering the basic theoretical and technical content, each accompanied by practice exercises, which students undertake with help from demonstrators. (b) Laboratory classes where students will take part (as experimenters and/or participants) in pre-planned experiments that are linked to topics in the concurrent lecture module PY1PL. They will hand in full formal reports on 2 of the experiments, a week after the class. (c) Participation in research studies, selected from those available, followed by

41


PY1PR1 2

debriefing, and answering questions on each. Students who have an approved reason for non-participation will be given an alternative assignment of equivalent value. Contact hours: Autumn Spring Summer Lectures 5 Tutorials/seminars Practicals 18 Other contact (eg study visits)

5 hours research participation (or equivalent)


2 reports on class experiments


Short workshop exercises on research design and data analysis

Assessment: Coursework Two reports on practical class experiments. The two reports will each constitute 25% of the overall module mark. The total mark for the workshop exercises will constitute 5% of the module mark. Completion of the required hours of research participation will contribute 5% of the module mark. Relative percentage of coursework : 60% of overall assessment Examinations A one hour open-book examination on research design, data analysis and interpretation during Autumn Term. This contributes 40% of the overall assessment. Requirements for a pass A mark of 40% overall Reassessment arrangements Coursework: assignment on experimental and data-analysis skills to be completed by September.

42

PY1PR2 1

PY1PR2-Psychological Research 2 Module Provider: Psychology Number of credits: 10 [5ECTS credits] Terms in which taught: Spring Module Convenor: Dr DT Field Pre-requisites: PY1PR1 Co-requisites: Modules excluded: Module version for: 2008/9 Email: [email protected] Aims: The aims of the module are that the student should become familiar with some non-experimental methods in Psychology, their interpretation and how they differ from experiments; continue to develop skills in reporting, analysing and discussing research; design and execute an experiment with a small group of other students; and learn statistical techniques for analysing associations and correlations. Assessable learning outcomes: By the end of the module the student will be able to: � Write reports on laboratory class experiments and non-experimental data collected from the student group, related to topics being taught in the current term � Work together with a small group of students, with guidance from staff, to design execute and report on a short experimental project (microproject) � explain aims and design of the above studies; present, analyse and discuss the data � Show a required standard of knowledge about experimental and non-experimental design and interpretation, and the choice of appropriate statistical techniques for analysing a provided set of data � Use a statistical package to compute the descriptive and inferential statistics that have been taught, and generate graphs and tables Additional outcomes: Students will participate in research studies being conducted in the School, and thereby enhance their knowledge of experimental methodology and apply their knowledge of experimental design and procedure to real examples. The small group microproject will give experience of project teamwork. Outline content: More on non-experimental research methods (e.g. questionnaire surveys) in Psychology and their interpretation. Descriptive and inferential statistical procedures for studying associations, correlations and comparisons among three or more conditions. Further use of statistical packages such as SPSS to present and analyse data. Laboratory class experiments including a small-group experimental microproject. Analysis and interpretation of data collected in a non-experimental or field setting. Participation in research studies. Brief description of teaching and learning methods: (a) Lectures and practical workshops (including use of the SPSS statistical

43


PY1PR2 2

package), covering the basic theoretical and technical content, each accompanied by practice exercises, which students undertake with help from demonstrators. In one workshop, students will analyse data (e.g. questionnaire responses) previously collected in a lecture session of module PY12E or PY12F. (b) Three laboratory classes. In two of these, students will take part (as experimenters and/or participants) in pre-planned experiments that are linked to topics in the concurrent lecture module PY1CA. They will hand in a report on one of these experiments, a week after the class. In the third class, which will comprise 2 sessions, small groups of students will design, execute and analyse their own short experiment (microproject). Each student will submit an individual written report on this. (c) Participation in research studies, selected from those available, followed by debriefing, and answering questions on each. Students who have an approved reason for non-participation will be given an alternative assignment of equivalent value. Contact hours: Autumn Spring Summer Lectures 4 Tutorials/seminars Practicals 16 Other contact (eg study visits)

5 hours research participation (or equivalent)


1 report on a class experiment. 1 report on microproject.


Short workshop exercises on research design and dataanalysis

Assessment: Coursework One practical class report (20% of overall module total) and one microproject report (30% of module total). The total mark for the workshop exercises will constitute 5% of the module mark. Completion of the required hours of research participation will contribute 5% of the module mark. Relative percentage of coursework : 60% of overall assessment Examinations A one hour open-book examination on research design, data analysis and interpretation during Spring Term. This contributes 40% of the overall assessment. Requirements for a pass A mark of 40% overall Reassessment arrangements Assignment on experimental and data-analysis skills to be completed by September.

44

SE1SA5 1

SE1SA5-Programming Module Provider: School of Systems Engineering Number of credits: 20 [10ECTS credits] Level: C (Certificate) Terms in which taught: Autumn, Spring and Summer Module Convenor: Dr SA Williams Pre-requisites: Co-requisites: Modules excluded: Module version for: 2008/9 Email: [email protected] Aims: This module aims to introduce student to procedural computer programming. The C and C++ family of programming languages will be used for examples and practical work. Programming will be undertaken using both the Windows and UNIX/LINUX operating systems and a variety of editors and environments. By the end of the module students should be able to write moderately complex programs in both C and C++. Assessable learning outcomes: Recognise and describe programming constructs in C and C++ Explain and demonstrate how to edit and debug programs Explain and demonstrate how to compile, link and run programs with and without integrated development environments Compare the use of Windows and UNIX Predict what a segment of code will produce (tracing) Distinguish programming approach and constructs best suited to a particular problem Analyse a problem and design a programmatic solution Develop a program Critically evaluate programming solutions Test programs Reflect on approach and solutions Additional outcomes: Word processing skills; generic programming skills; use of compilers and linkers; use of modern integrated programming environment; problem solving; debugging. Outline content: 1. Computing Concepts and Introduction to C Programming; Structured Program Development 2. Program Control; Types and Operators; Functions; Arrays and Pointers; Characters and Strings; Formatted Input/Output; Structures, Unions, and Enumerations; File Processing; Data Structures. 3. Introduction to C++ (from C); Classes; Inheritance; Operator Overloading; Advanced Topics. 4. Using UNIX and Windows operating systems; Compilers, Linkers, Debuggers and Integrated Development Environments.

45


SE1SA5 2

Brief description of teaching and learning methods: During the Autumn and Spring term each week will follow a pattern similar to this: � Lectures � Practical work and quizzes � Additional tutorials for beginners � Additional challenges for those with programming experience During the Spring term students will undertake an extended piece of practical work. Contact hours: Autumn Spring Summer Lectures 20 20 3 Tutorials/seminars Practicals 10 or 20 10 or 20 Other contact (eg study visits)

Total hours 30-40 30-40 3 Number of essays or assignments

weekly weekly


Assessment: Coursework Each week during the Autumn and Spring a student must attend the allocated practical class and complete the work set (typically a programming assignment or a quiz) - these will contribute a total of 30%. In the Spring term a larger piece of practical work will be set to be completed during the term, contributing 15%. Relative percentage of coursework: 45% Examinations One 2-hour written examination Requirements for a pass Pass overall (a mark of 40%) Reassessment arrangements Examination only in August/September

46

SE1SC5 1

SE1SC5-Computer Science Roadmap Module Provider: School of Systems Engineering Number of credits: 20 [10ECTS credits] Terms in which taught: Autumn and Spring Module Convenor: Dr GT McKee Pre-requisites: Co-requisites: Modules excluded: Module version for: 2008/9 Email: [email protected] Aims: The aim of this module is to give students a broad understanding of the discipline of computer science, including its role in the service of science, commerce and society; to provide an introduction to discrete mathematics and algorithmic thinking; and to develop creative problem solving skills. Assessable learning outcomes: Introduction to Computer Science: Students will be able to list, describe and discuss the major topics that define computer science. They will be able to describe, compare and contrast a wide range of applications of computer science. Students will gain practice into problem analysis and reduction, the use of pseudo-code to describe algorithms, and practice in the use of a functional programming language. Discrete Mathematics and Algorithmic Thinking: Students will be able to apply techniques in discrete mathematics to solve problems including translating certain types of English sentence into formal logic, carry out simple manipulation involving sets, and use concepts of relations and functions. Students will be able to explain the role of algorithmic thinking and distinguish it from program design; analyse an algorithm and assess its efficiency; and construct pseudo-code algorithms from problems specifications. Concepts of self-reflective learning: Students will be given lectures on the role of formative and summative assessment, the difference between group work and individual work, plagiarism, professionalism, peer review, peer-oriented learning and use of communication technologies to enhance their learning experience. Additional outcomes: Students will gain an appreciation for the impact of computing technology in every aspect of modern day society. Outline content: Introduction to Computer Science: The history of computing The role and science of algorithms in computing Computer systems, operating systems, computer networks and computer security Topics in computing including The Semantic Web, Computing in Context, E-

47


SE1SC5 2

Informatics, Computational Science, Dependable Systems, Algorithms (sequential and parallel), Grand Challenges in Computing, Robotics and Artificial Intelligence, Bioinformatics, and others. Discrete Mathematics and Algorithmic Thinking: Sets, relations and functions Predicate Calculus Combinatorial analysis - functional, permutations How to create programs How to analyse programs Stacks, queues, trees, lists Searching and sorting Brief description of teaching and learning methods: Lectures, essays, assignments and group work. Introduction to computer science will comprise a series of lectures on a set of topics. Students will write an essay on a selected topic, develop programs in a functional programming language and develop pseudo-code descriptions for algorithmic solutions. Discrete Mathematics and Algorithmic Thinking will comprise lectures and tutorials. Contact hours: Autumn Spring Summer Lectures 14 18 Tutorials/seminars 8 8 Practicals Other contact (eg study visits)


2 3


Assessment: Coursework: Essays, assignments and project Relative percentage of coursework : 70% Examinations: One 2-hour written examination Requirements for a pass: 40% combined exam and coursework

48

SE1TQ5 1

SE1TQ5-Commercial off-the-shelf Software 1 Module Provider: School of Systems Engineering Number of credits: 20 [10ECTS credits] Level: C (Certificate) Terms in which taught: Autumn, Spring and Summer Module Convenor: Dr AA Adams Pre-requisites: Co-requisites: Modules excluded: Module version for: 2008/9 Email: [email protected] Aims: This module will provide students with an understanding of the software packages that are commonly used in business. It will ensure that students can provide a resource for companies to support the basic usage of common business software. Assessable learning outcomes: By the end of the module, it is expected that the student will be able to: identify what software packages are generally available; evaluate and select suitable software packages for a given purpose; use such common business software with a reasonable level of competence. Additional outcomes: The module also aims to encourage the development of the following skills: the ability to advise and help users of common business software; achieve a level of understanding of packages beyond that required for the European Computer Driving Licence (ECDL); research, evaluation and reflection; written and oral skills. Outline content: This module has four themes: • Databases • Evaluation • Emerging trends • Communication Within each theme students will study the underlying theory, whilst gaining practical expertise in a variety of software packages. There will be an exposure to: • Different funding and licensing models (including Open Source) • Software selection criteria • Security • A variety of technologies (including web based) Brief description of teaching and learning methods: Lectures supported by practical classes and independent learning.

49


SE1TQ5 2



Practicals 1 Report and practicals


Test Test 1 (Presentation)

Assessment: Coursework Project (30% overall) Tests (10% overall) will be held during the Autumn and Spring terms. Laboratory practical sessions (10% overall) Students will also sit a 1½ hour paper that will constitute 50% of the marks overall. The examination will test the theoretical aspects of the module. Requirements for a pass Students will be required to obtain a mark of 40% overall based on coursework and the examination. Re-assessment Students will be re-examined in August/September.

50

LA1XXX 1

LA1XXX – Institution Wide Language Programme Available Languages LA1PA1 IWLP Arabic Level 1 LA1PC1 IWLP Chinese Level 1 LA1PC2 IWLP Chinese Level 2 LA1PC3 IWLP Chinese Level 3 LA1PF1 IWLP French Level 1 LA1PF2 IWLP French 2 LA1PF3 IWLP French 3 LA1PF4 IWLP French 4 LA1PG1 IWLP German Level 1 LA1PG2 IWLP German Level 2 LA1PG3 IWLP German 3 LA1PG4 IWLP German 4 LA1PI1 IWLP Italian Level 1

LA1PI2 IWLP Italian Level 2 LA1PJ1 IWLP Japanese Level 1 LA1PJ2 IWLP Japanese Level 2 LA1PJ3 IWLP Japanese Level 3 LA1PK1 IWLP Modern Greek Level 1 LA1PK2 IWLP Modern Greek Level 2 LA1PK3 IWLP Modern Greek Level 3 LA1PS1 IWLP Spanish Level 1 LA1PS2 IWLP Spanish Level 2 LA1PS3 IWLP Spanish Level 3 LA1PS4 IWLP Spanish Level 4 LA1PS5 IWLP Spanish Level 5

To Register Please download and complete the IWLP Registration form from August 2008 before coming to register. It will assist your placement if the form is fully and accurately completed. (From IWLP website http://www.reading.ac.uk/iwlp/registration.htm) IWLP registration will take place in the University Language Centre as follows: 1pm - 3pm on 1st October 10am - 4pm from 2nd - 10th October If you are a complete beginner in your chosen language and we have your timetable, we will try to place you immediately in one of the classes, and you can enter your correct LA1... code on your module choice form. If you are NOT a complete beginner in your chosen language, please enter the generic IWLP code LA1XXX on your module choice form. You will then be given a ‘diagnostic test’. This should only take an hour of your time and is designed to see which IWLP level is appropriate for your knowledge of the language. You may take this test in the Self-Access Centre of the University Language Centre during the registration period. Note: Students with a GCSE or equivalent in the language cannot enter a Beginner's class. Please accept the decision of IWLP staff concerning your level as final. It is important when you complete your registration form that you fill in your timetable but please do NOT include the IWLP classes on your timetable. The Institution-Wide Language Programme is very popular so please make sure that you register at the earliest opportunity. Please consult the FAQs in the first instance. If your query is not answered, please contact the IWLP Administrator: [email protected]. More information can be found at the IWLP homepage http://www.reading.ac.uk/iwlp/ and detailed module descriptions can be found at http://www.info.reading.ac.uk/module/

51

THE UNIVERSITY OF READING

FACULTY OF SCIENCE FACULTY OF LIFE SCIENCES

Change of Module Request Form

To be completed by any student (undergraduate or postgraduate) who wishes to submit a request to change an optional module. All sections of this form must be completed. The form should then be agreed and signed by your Programme Adviser/Director and sent to the Sub Dean in the Joint Faculty Office (Physics Building). Name of student: Student No:

E-mail address:

School/Department:

Course: Module(s) to be deleted: Module Code Module Title Module(s) to be added: Module Code Module Title I acknowledge that it is my responsibility to inform the lecturer/module coordinator of the change(s) in order to receive any handouts/assignments. Signature of Student: Signature of Programme Adviser/Director: Date:

52

CONFIDENTIAL THE UNIVERSITY OF READING

FACULTY OF SCIENCE/FACULTY OF LIFE SCIENCES

Change of Status Request Form (undergraduate)

To be completed by students who wish to submit a request for one or more of the following (please note that approval is required from your Personal Tutor/Programme Adviser and the School Director of Teaching and Learning): • Suspension of degree programme • DNS in University examinations • Re-entry after withdrawal • Repeat of year/part of degree programme • Change of degree programme – make sure you fill out the reverse of this form with your new modules and get the

form signed by the Programme Adviser • Change of Tutor All sections of this form must be completed. Please also attach copies of any relevant correspondence (medical cases, supporting statement from the student). You should then send the form to the Sub Dean in the Joint Faculty Office for consideration by the Faculty Director of Teaching and Learning. Name of student: Student Number: E-mail address: Part 1/2/3/4 Degree Programme: Department/School: Personal Tutor: Nature of Request (for change of degree programme please complete the reverse of this form with your new modules): Reasons for request (continue on reverse or submit separate sheet as necessary): Signature of Student: Signature of Personal Tutor/Programme Adviser*: *this form must be signed by the Programme Adviser of the programme you intend to move to if you are changing degree programme Approved by School Director of Teaching and Learning: Date:

Now submit the form to the Sub Dean of your Faculty Approved by Faculty Director of Teaching and Learning: Date: 53

If you are changing degree programme, please list the new modules you will be taking: Compulsory Modules: Module Code Module Title Number of Credits

Optional Modules: Module Code Module Title Number of Credits

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Documents

School of Mathematics, Meteorology & Physics2).pdf · Part 3 that you are taught a module which is placed at the ‘M’, or Masters, Level. You may also sometimes find that Level