Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Exam 60 2002 Skills Test (Qualifying Element) 20 1003 Coursework 20101 Exam 100 2 Y
Period: Semester 1Occurence: ACoordinator: Katrin LeschkeMark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Exam 60 2002 Skills Test (Qualifying Element) 20 1003 Coursework 20101 Exam 100 2 Y
Period: Semester 1Occurence: BCoordinator: Katrin LeschkeMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 1Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesAt the end of this module, typical students should be able to compute limits of sequences and functions, compute derivativesof standard functions, apply Taylor's formula, compute basic integrals, interpolate functions.Students should know the definitions and should be able to work with the key concepts introduced in this module, like realnumbers, sequences and limits, continuity and differentiability of functions. Students should be able to understand andreproduce main results and proofs of this module. Construct basic VBA computer programs for the numerical solution of basic problems
Teaching and Learning MethodsLectures, Tutorials, Surgeries, Directed reading, Computer practical classes, Computer-aided learning, Example sheets,
Assessment MethodsFormal written examination (January), Computer-based exercises, Competency-based assessment (qualifying element),Coursework exercisesSkills test is a qualifying element (40%)
Pre-Requisites
Co-Requisites
Lectures 32Seminars
Practical Classes & Workshops 10Tutorials 10
FieldworkProject Supervision
Guided Independent Study 88Demonstration
Supervised time in studio/workshop 10Work Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA1012 #MULTIVALUE
Last Published: 3 August 2015
Module Specification
Excluded Combinations-
MA1012 #MULTIVALUE
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 COURSEWORK 20002 SKILLS TEST (QULAIFYING ELEMENT ) 20003 EXAM (Final) 60 2103 EXAM (Final) 100 2 Y
Period: Semester 2Occurence: ACoordinator: Andrea CangianiMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 1Scheme: UGDepartment: MathematicsCredits: 10
Intended Learning Outcomes"Comprehend Basic Mathematical Modelling principles and be able to solve basic differential equations Analyse infinite series convergence properties and know the series of all elementary functionsKnow the rigorous definition of Multivariable differential calculus concepts. Apply rigorous mathematical analysis argumentations writing skills.Apply differential calculus to the solution of integration, optimisation, and zero-finding problems via Excel spreadsheet.Construct basic VBA computer programs for the numerical solution of basic problems. "
Teaching and Learning MethodsLectures, Tutorials, Surgeries, Directed reading, Computer practical classes, Computer-aided learning, Example sheets,
Assessment MethodsFormal written examination (June), Computer-based exercises, Competency-based assessment (qualifying element),Coursework exercisesSkills test is a qualifying element (40%)
Pre-Requisites
Co-Requisites
Excluded Combinations-
Lectures 18Seminars
Practical Classes & Workshops 5Tutorials 5
FieldworkProject Supervision
Guided Independent Study 42Demonstration
Supervised time in studio/workshop 5Work Based Learning
PlacementYear Abroad
Total Module Hours 75
Student Workload (hours)
MA1013 CALCULUS AND ANALYSIS 2
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Coursework 20002 Examination (Final) 80 2102 Examination (Final) 100 2 Y
Period: Semester 2Occurence: ACoordinator: Andrey MorozovMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 1Scheme: UGDepartment: MathematicsCredits: 10
Intended Learning OutcomesTo know how classical mechanics conceptualises problems. To be able to write down equations of motionand initial conditions for some representative problems, and to use elementary mathematical techniquesto solve problems and to interpret the solutions. Students will have improved their ability to solve problems usingpencil and paper, and will have improved their ability to write mathematical to solve problems and to interpret the solutions.Students will have improved their ability to solve problems using pencil andpaper, and will have improved their ability to write mathematical arguments.
Teaching and Learning MethodsLectures, optional surgeries, problem classes.
Assessment MethodsMarked problem sheets, examination.
Pre-Requisites
Co-Requisites
Excluded Combinations-
Lectures 18Seminars
Practical Classes & Workshops 5Tutorials 5
FieldworkProject Supervision
Guided Independent Study 47Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 75
Student Workload (hours)
MA1051 Introduction to Newtonian Dynamics
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Coursework 20002 SKILLS TEST (QUALIFYING ELEMENT) 20003 Examination (Final) 60 2103 Examination (Final) 100 2 Y
Period: Semester 1Occurence: ACoordinator: Sibylle SchrollMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 1Scheme: UGDepartment: MathematicsCredits: 10
Intended Learning Outcomes1. To understand the concept of a probabilistic model for an experiment with a finite number of outcomes (finite probabilityspace). ; sample space, algebras of events/sigma algebra, probability and its properties. 2. To be able to compute probabilities for events defined on a sample space of equally likely outcomes.3. To understand and be able to work with the concept of conditional probability and independence (Bayes' theorem, totalprobability theorem and multiplication formula).4. To understand and be able to work with the concept of random variable and the differences between discrete andcontinuous random variables. 5. To understand and be able to calculate the notions of expectation and variance of random variables and their basicproperties. 6. To understand what a probability distribution and density function are, and to be able to apply the appropriate methods forcomputing probabilities, expectations and variances. 7. To understand the genesis of the binomial, geometric and Poisson distributions. 8. To understand the normal distribution, its ubiquity, its parameters and their interpretations, the general shape of itsprobability density function and finding probabilities using standard tables. 9. To be able to use Poisson tables.10. To understand the content and consequences of the DeMoivre-Laplace and Central Limit theorems and to eb able toapply. 11. To be able to solve problems and present their answers in written communication
Teaching and Learning MethodsLectures, Surgeries, Problem solving classes, Computer practical classes, Computer-aided learning.
Assessment MethodsComputer assessed test(s) and homework will be used as continuous assessment. There will be a written examination.Skills test is a qualifying element (40%)
Pre-Requisites
Co-Requisites
Excluded Combinations-
Lectures 18Seminars
Practical Classes & Workshops 5Tutorials 5
FieldworkProject Supervision
Guided Independent Study 42Demonstration
Supervised time in studio/workshop 5Work Based Learning
PlacementYear Abroad
Total Module Hours 75
Student Workload (hours)
MA1061 Probability
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 COURSEWORK (Final) 100
Period: Semester 2Occurence: ACoordinator: Frank NeumannMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 1Scheme: UGDepartment: MathematicsCredits: 10
Intended Learning OutcomesUpon completing the module, the student should be able to: define what a prime number is, state the fundamental theorem ofarithmetic, construct proofs using mathematical induction, apply Euclid's algorithm, solve basic Diophantine equations, knowand be able to apply Fermat's Little theorem and Euler's theorem
Teaching and Learning MethodsLectures, surgeries, problem classes.
Assessment MethodsMarked problem sheets.
Pre-Requisites
Co-Requisites
Excluded Combinations-
Lectures 18Seminars
Practical Classes & Workshops 5Tutorials 5
FieldworkProject Supervision
Guided Independent Study 47Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 75
Student Workload (hours)
MA1104 ELEMENTS OF NUMBER THEORY
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 COURSEWORK 20002 SKILLS TEST (QULAIFYING ELEMENT) 20 1003 EXAM (Final) 60 2103 EXAM (Final) 100 2 Y
Period: Semester 1Occurence: ACoordinator: Emmanuil GeorgoulisMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 1Scheme: UGDepartment: MathematicsCredits: 10
Intended Learning OutcomesStudents should demonstrate ability to work with real and complex numbers, to understand the representation of complexnumbers on the complex plane, to be able to undertand and manipulate vectors, to be able to solve simple linear systems ofequations with Gaussian ellimination, to write linear systems in matrix-vector form, to use LU and Cholesky factorisations forthe solution of linear systems in matrix form and implement them in the computer (using VBA), to be able to manipulate anduse determinants.
Teaching and Learning MethodsLectures, Tutorials, Surgeries, Directed reading, Computer practical classes, Computer-aided learning, Example sheets,
Assessment MethodsFormal written examination (January), Computer-based exercises, Competency-based assessment, Coursework exercisesSkills test is a qualifying element (40%)
Pre-Requisites
Co-Requisites
Excluded Combinations-
Lectures 18Seminars
Practical Classes & Workshops 5Tutorials 5
FieldworkProject Supervision
Guided Independent Study 42Demonstration
Supervised time in studio/workshop 5Work Based Learning
PlacementYear Abroad
Total Module Hours 75
Student Workload (hours)
MA1112 LINEAR ALGEBRA 1
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 SKILLS TEST (QUALIFYING ELEMENT) 20002 COURSEWORK 20003 EXAM (Final) 60 2103 EXAM (Final) 100 2 Y
Period: Semester 2Occurence: ACoordinator: Alexander ClarkMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 1Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning Outcomes"Upon completing the module, students should be able to: understand linear transformations between vector spaces andperform related calculations with matrices, calculate the inner product of vectors and interpret these calculationsgeometrically in both the real and complex vector space setting, find orthogonal bases for vector spaces using the Gram-Schmidt Orthogonalization process, calculate and define eigenvalues and eigenvectors of matrices.In the tutorials, students will be asked to present their own solutions to problems to develop their oral and presentation skills. "
Teaching and Learning MethodsLectures, Tutorials, Surgeries, Directed reading, Computer practical classes, Computer-aided learning, Example sheets.
Assessment MethodsWritten examination, Computer-based exercises, Competency-based assessment, Coursework exercisesSkills Test is a qualifying element (40%)
Pre-RequisitesMA1112
Co-Requisites
Excluded Combinations-
Lectures 32Seminars
Practical Classes & Workshops 10Tutorials 10
FieldworkProject Supervision
Guided Independent Study 88Demonstration
Supervised time in studio/workshop 10Work Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA1113 LINEAR ALGEBRA 2
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 SKILLS TEST (QUALIFYING ELEMENT) 20002 COURSEWORK 20003 EXAM (Final) 60 2103 EXAM (Final) 100 2 Y
Period: Semester 2Occurence: ACoordinator: Zahir HussainMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 1Scheme: UGDepartment: MathematicsCredits: 10
Intended Learning Outcomes"Students should know what is meant by an estimate, an estimator, and asampling distribution; understand what is meant by an unbiased estimator; know the mean and varianceof the sampling distribution of the sample mean; know how to write down a likelihood function and finda maximum likelihood estimate for simple models. Students should have an informal understanding ofthe process of hypothesis testing and the meaning of P-values and know what is meant by a confidenceinterval and the relationship between confidence intervals and hypothesis tests."
Teaching and Learning MethodsLectures, Tutorials, Surgeries, Computer practical classes, Computer-aided learning, Example sheets,
Assessment MethodsFormal written examination, Computer-based exercises, Competency-based assessment, Coursework exercisesSkills test is a qualifying element (40%)
Pre-Requisites
Co-Requisites
Excluded Combinations-
Lectures 18Seminars
Practical Classes & Workshops 5Tutorials 5
FieldworkProject Supervision
Guided Independent Study 42Demonstration
Supervised time in studio/workshop 5Work Based Learning
PlacementYear Abroad
Total Module Hours 75
Student Workload (hours)
MA1202 INTRODUCTORY STATISTICS
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
006 Computer Test 100 3
Period: Semester 1Occurence: ACoordinator: Cancer Studies (Generic Code for HESA)Mark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 1Scheme: UGDepartment: MathematicsCredits: 10
Intended Learning OutcomesAn understanding of the way mathematics has developed; an appreciation of both the practical roots ofmathematics and the study of mathematics for its own sake; an appreciation of how mathematics can evolve very differently indifferent cultures; and an improved understanding of the relationships between different aspects of mathematics.
Teaching and Learning MethodsCase studies, optional consultations, reading, electronic search.Module Convenor: Clive Rix
Assessment MethodsComputer test.
Pre-Requisitesnone
Co-Requisitesnone
Excluded Combinations-
Lectures 8Seminars 3
Practical Classes & WorkshopsTutorials
Fieldwork 8Project Supervision
Guided Independent Study 56Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 75
Student Workload (hours)
MA1253 Mathematics and Society
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 TEST (final) 40 1002 COURSEWORK 60
Period: Semester 1Occurence: ACoordinator: John HuntonMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 1Scheme: UGDepartment: MathematicsCredits: 10
Intended Learning OutcomesUpon completing the module, the student should be able to: construct basic proofs using the classical axioms of geometry,determine and prove when two triangles are congruent, calculate the basic trigonometric functions and apply Heron'stheorem, apply Ptyolemy's theorem, use analytic techniques and coordinates to solve geometric problems.
Teaching and Learning MethodsSeminar, Group presentations.
Assessment MethodsGroup projects, tests and coursework.
Pre-Requisites
Co-Requisites
Excluded Combinations-
Lectures 20Seminars
Practical Classes & Workshops 10Tutorials
FieldworkProject Supervision
Guided Independent Study 45Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 75
Student Workload (hours)
MA1272 PLANE GEOMETRY
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Coursework 20002 Skills test 20003 Examination (Final) 60 2103 Examination (Final) 100 2 Y
Period: Semester 2Occurence: ACoordinator: Ivan TyukinMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesTo be able to:1) understand both the analytic and the geometric interpretation of differential equations 2) distinguish between classes of differential equations (autonomous, non-autonomous, linear, non-linear, homogeneous,inhomogeneous)3) analyze initial value problems in order to determine whether or not they have unique solutions 4) state and prove basic existence and uniqueness results (Peano existence theorem, Osgood’s uniqueness theorem,Cauchy existence anduniqueness theorem, Picard’s theorem)5) use and apply methods for finding general solutions of general ODEs of the first-order in normal form6) solve linear homogeneous and inhomogeneous equations with constant coefficients7) use and write programs for finding numerical solutions of ordinary differential equations (involving both explicit and implicitprocedures).
Teaching and Learning MethodsLectures, Problem Classes, Computer Classes, automated computer assignments
Assessment MethodsComputer test, exam
Pre-Requisites
Co-RequisitesMA1051
Excluded Combinations-
Lectures 33Seminars
Practical Classes & Workshops 20Tutorials
FieldworkProject Supervision
Guided Independent Study 97Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA2021 Differential Equations and Dynamics
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
003 Examination (Final) 100 2
Period: Semester 2Occurence: ECoordinator: Ivan TyukinMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 10
LecturesSeminars
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent StudyDemonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours
Student Workload (hours)
MA2022 Differential Equations and Dynamics
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Examination (Final) 60 2002 Coursework 20003 Skills Test (Qualifying Element) 20 1101 Examination (Final) 100 2 Y
Period: Semester 1Occurence: ACoordinator: Jeremy LevesleyMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesUpon completing the module, students should be able to: differentiate and integrate vector valued functions, apply Fubini'stheorem and learn to calculate iterated integrals, use Jacobians to calculate change of variables, learn how to use multi-dimensional linear interpolation for approximations, apply the theorems of Stoke and Green, calculate with basic Fourierseries and use Pareval's theorem.
Teaching and Learning MethodsLectures, Tutorials, Computer practical classes, Computer-aided learning, Example sheets.
Assessment MethodsWritten examination, Computer-based exercises, weekly written homework, Skills Test (qualifying element) pass mark 40%
Pre-RequisitesMA1012, MA1013
Co-Requisites
Excluded Combinations-
Lectures 32Seminars
Practical Classes & Workshops 5Tutorials 10
FieldworkProject Supervision
Guided Independent Study 93Demonstration
Supervised time in studio/workshop 10Work Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA2032 Calculus and Analysis 3
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Exam 60 2002 Coursework 40003 Exam 100 2 Y
Period: Semester 1Occurence: ACoordinator: John HuntonMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 10
Intended Learning OutcomesUpon completing the module, students should be able to: define topology and continuity in the general setting and to relatethese notions to the analogues they will have seen in analysis; apply the quotient construction to create new spaces, includingsurfaces, from more basic spaces; visualise the abstract concepts developed in topology and present in poster form theresults of their visualisation.
Through the written assignments, students should develop their ability to think critically, to analyse and to write cleararguments. Through the poster presentation (worked on in small groups) the students should develop team working skills andoral presentation skill when presenting the poster.
Teaching and Learning MethodsLectures, Problem solving classes, Poster presentation.
Assessment MethodsWritten examination, written assignments and poster presentation.
Pre-Requisites
Co-Requisites
Excluded Combinations-
Lectures 18Seminars
Practical Classes & WorkshopsTutorials 5
FieldworkProject Supervision
Guided Independent Study 52Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 75
Student Workload (hours)
MA2104 Elements of Topology
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Examination (Final) 60 2002 Skills Test (qualifying element) 20 1003 Coursework 20101 Examination (Final) 100 2 Y
Period: Semester 1Occurence: ACoordinator: Alexander BaranovMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 10
Intended Learning OutcomesUpon completing the module, students should be able to: define and calculate the basis of a subspace of a vector space andto calculate a change of basis, diagonalise matrices and understand when this is possible, to find the minimal polynomial of amatrix and to interpret the meaning of this polynomial, manipulate quadratic forms.
Teaching and Learning MethodsLectures, Tutorials, Directed reading, Computer practical classes, Computer-aided learning, Example sheets.
Assessment MethodsWritten examination, Computer-based exercises, Competency-based assessment, Coursework exercises. The skills test is aqualifying element.
Pre-RequisitesMA1112, MA1113
Co-Requisites
Excluded Combinations-
Lectures 18Seminars
Practical Classes & Workshops 5Tutorials 5
FieldworkProject Supervision
Guided Independent Study 42Demonstration
Supervised time in studio/workshop 5Work Based Learning
PlacementYear Abroad
Total Module Hours 75
Student Workload (hours)
MA2132 Linear Algebra 3
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Coursework 20002 Exam 80 2003 Exam 100 2 Y
Period: Semester 2Occurence: ACoordinator: Teimuraz PirashviliMark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
002 Exam (Final) 100 2
Period: Semester 2Occurence: ECoordinator: Teimuraz PirashviliMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesThe module aims to provide students the foundation required for further study in algebra and to provide the knowledgeessential to be able to use algebra as it occurs in other areas. At the same time, students will see ample applications ofalgebra, for example in the study of symmetry, and students should develop the ability to see how to apply algebra in thosesituations to which it naturally applies. Students will be introduced to groups, rings and fields and students should be able toperform basic calculations in each of these contexts. The students will learn how the notions of homomorphisms andisomorphisms apply to all these contexts and should be able to perform related calculations. Students should be able to applythe quotient construction in the context of groups and rings to construct new groups and rings. Students should be able todefine the various types of factorisation in rings and be able to identify the class to which various rings belong. Studentsshould be able to define what a maximal ideal is and to be able to use maximal ideals to construct fields.
Through the weekly written assignments, students should develop their ability to think critically, to analyse and to write cleararguments.
Teaching and Learning MethodsLectures, Problem solving classes
Assessment MethodsContinuous assessment based on written homework. Written exam.
Pre-Requisites
Co-Requisites
Lectures 30Seminars
Practical Classes & WorkshopsTutorials 10
FieldworkProject Supervision
Guided Independent Study 110Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA2133 Algebra
Last Published: 3 August 2015
Module Specification
Excluded Combinations-
MA2133 Algebra
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Exam 80 2002 Coursework 20003 Exam 100 2 Y
Period: Semester 1Occurence: ACoordinator: Ruslan DavidchackMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 10
Intended Learning OutcomesThe module is designed to introduce students to the basics of data representation in computers, algorithmic thinking, andprogramming simple numerical methods. Students will gain practical experience of working with Matlab.Drawing theflowcharts of computer programs is also required.
Teaching and Learning MethodsLectures, computer lab sessions, and problem classes
Assessment MethodsSolutions of problem sheets, 2h written examination
Pre-Requisites
Co-Requisites
Excluded Combinations-
Lectures 20Seminars
Practical Classes & Workshops 20Tutorials
FieldworkProject Supervision
Guided Independent Study 35Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 75
Student Workload (hours)
MA2252 Introduction to Computing
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Coursework 20002 Examination 80 3003 Exam 100 3 Y
Period: Semester 2Occurence: ACoordinator: Simona PaoliMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesStudents should know the distributions of the least squares estimators for parameters of the simple linear regression model,be able to calculate confidence intervals and prediction intervals and use hypothesis tests for model parameters. Studentsshould be able to perform hypothesis tests using an analysis of variance (ANOVA) table and to understand how it is used toexplain variation, and be able to assess the lack of fit of a linear model using repeated observations.
Teaching and Learning MethodsClass sessions with some handouts.
Assessment MethodsMarked problem sheets and examination.
Pre-RequisitesMA1061
Co-Requisitesnone
Excluded CombinationsCannot be taken with MA2262
Lectures 30Seminars 5
Practical Classes & Workshops 5Tutorials 0
Fieldwork 0Project Supervision 0
Guided Independent Study 110Demonstration 0
Supervised time in studio/workshop 0Work Based Learning 0
Placement 0Year Abroad 0
Total Module Hours 150
Student Workload (hours)
MA2261 Linear Statistical Models
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Coursework 20002 Examination 80 1.5003 Exam 100 1.5 Y
Period: Semester 2Occurence: ACoordinator: Simona PaoliMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 10
Intended Learning OutcomesStudents should know the distributions of the least squares estimators for parameters of the simple linear regression model,be able to calculate confidence intervals and prediction intervals and use hypothesis tests for model parameters. Studentsshould be able to perform hypothesis tests using an analysis of variance (ANOVA) table and to understand how it is used toexplain variation, and be able to assess the lack of fit of a linear model using repeated observations.
Teaching and Learning MethodsClass sessions with some handouts.
Assessment Methods Marked problem sheets and examination.
Pre-RequisitesMA1061
Co-Requisitesnone
Excluded Combinations-Cannot be taken with MA2261. Normally this module should be taken along with MA2511.
Lectures 15Seminars 3
Practical Classes & Workshops 3Tutorials 0
Fieldwork 0Project Supervision 0
Guided Independent Study 54Demonstration 0
Supervised time in studio/workshop 0Work Based Learning 0
Placement 0Year Abroad 0
Total Module Hours 75
Student Workload (hours)
MA2262 Linear Statistical Models
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Exam 70 2002 Computational Tasks 30003 Exam 100 2 Y
Period: Semester 2Occurence: ACoordinator: Stephen GarrettMark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Exam 70 2002 Coursework 30
Period: Semester 2Occurence: BCoordinator: Dalia ChakrabartyMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning Outcomes-Students will learn statistical methods relevant to the actuarial industry.-Develop problem-solving skills in the statistical context. -Practical use of relevant software such as R and Excel/VBA will be explored.
-Explain need for statistical methods in finance-Explain the need for and construct simple models of reinsurance models. Reproduce underlying mathematics.-Explain the need for and compute ruin probabilities. Reproduce underlying mathematics-Implement computational models of the above in standard situations.
Full syllabus from http://www.actuaries.org.uk/students/pages/syllabus-exams (CT6 to (iv))
Teaching and Learning MethodsStudents will be provided with material written specifically for the module. Three lectures per week will be used to teach thedetails of the material. Students are further supported with 1 problem solving skills/computational session and 1 problem classper week.
Assessment Methods2 hour written examination intended to assess technical skills.Fortnightly computational tasks are marked.
Pre-Requisites
Co-Requisites
Lectures 33Seminars 11
Practical Classes & Workshops 11Tutorials
FieldworkProject Supervision
Guided Independent Study 95Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA2266 Applied Statistics
Last Published: 3 August 2015
Module Specification
Excluded Combinations-
MA2266 Applied Statistics
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Exam 70 2002 Problem sheets 30003 Exam 100 2 Y
Period: Semester 1Occurence: ACoordinator: Stephen GarrettMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesThe syllabus is taken from the Actuarial Profession's CT1 module (from item (v)): http://www.actuaries.org.uk/research-and-resources/documents/subject-ct1-models-core-technical-syllabus-2013-exams.A successful student will be able to-Describe fundamental financial terms. -Begin to understand the role of actuaries in the financial sector-Form cashflow descriptions of financial and business scenarios. -Demonstrate the ability to manipulate use standard actuarial notation.-Explain the use and function of basic financial products.-Reproduce standard criticisms of fixed-interest models, and have an appreciation of mathematical issues arising fromstochastic models.-Demonstrate basic skills in the interpretation of financial problems.
Teaching and Learning MethodsStudents will be provided with material written specifically for the module. Three lectures per week will be used to teach thedetails of the material. Students are further supported with 1 problem solving skills supervision session and 1 problem classper week.
Assessment Methods2 hour written examination intended to assess technical skills.Fortnightly problem sheets of exam standard are marked.
Pre-Requisites
Co-Requisites
Excluded Combinations-
Lectures 33Seminars 11
Practical Classes & WorkshopsTutorials 11
FieldworkProject Supervision
Guided Independent Study 95Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA2401 Cash-flow Analysis and Interest
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Exam 70 2002 Project 30
Period: Semester 2Occurence: ACoordinator: Stephen GarrettMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesThe module aims to give students a solid grounding in the basics of finance and accounting.The syllabus is taken from theActuarial Profession's CT2 module: http://www.actuaries.org.uk/research-and-resources/documents/subject-ct2-finance-and-financial-reporting-syllabus-2013-exams.
Students will be able to discuss the fundamental framework of UK finance and be able to write/interpret company accounts.Tax and the international perspective are also considered.
Students will also address the challenges of communicating financial and business solutions to less mathematical members ofthe sector.
Teaching and Learning MethodsStudents will be provided with material written specifically for self study which will be paced across the semester. Threelectures will be given per week. One problem solving class per week will be given to go through regular (non assessedcoursework). To support students in the preparation of their case-study report, fortnightly skills sessions will also be given.
Assessment Methods2 hour written examination intended to assess technical skills.An independent case-study report. This is an individual, open-ended task which requires students to demonstrate self-direction in tackling a realistic business problem and communicating their conclusions in an appropriate manner.
Pre-Requisites
Co-Requisites
Excluded Combinations-
Lectures 30Seminars
Practical Classes & Workshops 10Tutorials 5
FieldworkProject Supervision
Guided Independent Study 105Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA2402 Finance and Financial Reporting
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Exam 70 2002 Computational Tasks 30003 Exam 100 2 Y
Period: Semester 1Occurence: ACoordinator: Stephen GarrettMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesStudents will be introduced to the need and theory of mortality modelling in the actuarial context. The syllabus is taken fromthe Actuarial Profession's CT4 module (items (i)-(iv)): http://www.actuaries.org.uk/research-and-resources/documents/subject-ct4-models-core-technical-syllabus-2013-exams, namely1. Describe the principles of actuarial modelling.2. Describe the general principles of stochastic processes, and their classification into different types.3. Define and apply a Markov chain.4. Define and apply a Markov process.Furthermore, students will be required to develop practical skills in VBA.
Teaching and Learning MethodsStudents will be provided with material written specifically for the module. Three lectures per week will be used to teach thedetails of the material. Students are further supported with 1 computing session and 1 problem class per week. The studentswill be required to work through pre-set computational tasks in each computing session.
Assessment Methods2 hour written examination intended to assess technical skills.Fortnightly computational tasks are marked.
Pre-Requisites
Co-Requisites
Excluded Combinations-
Lectures 33Seminars 11
Practical Classes & Workshops 11Tutorials
FieldworkProject Supervision
Guided Independent Study 95Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA2404 The Principles of Financial Modelling
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Exam 70 2002 Problem Sheets 30003 Exam 100 2 Y
Period: Semester 1Occurence: ACoordinator:Mark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 10
Intended Learning OutcomesStudents will be introduced to the need and theory of mortality modelling in the actuarial context. The syllabus is taken fromthe Actuarial Profession's CT4 module (from item (v)): http://www.actuaries.org.uk/research-and-resources/documents/subject-ct4-models-core-technical-syllabus-2013-exams, namely1. Explain the concept of survival models.2. Describe estimation procedures for lifetime distributions.3. Derive maximum likelihood estimators for the transition intensities in models of transfers between states with piecewiseconstant transition intensities.4. Describe the Binomial model of mortality, derive a maximum likelihood estimator for the probability of death and comparethe Binomial model with the multiple state models.5. Describe how to estimate transition intensities depending on age, exactly or using the census approximation.6. Describe how to test crude estimates for consistency with a standard table or a set of graduated estimates, and describethe process of graduation.
Teaching and Learning MethodsStudents will be provided with material written specifically for the module. Three lectures per week will be used (over half thesemester) to teach the details of the material. Students are further supported with 1 problem class per week.
Assessment Methods2 hour written examination intended to assess technical skills.Weekly problem sheets of exam standard are marked.
Pre-RequisitesMA2401
Co-RequisitesMA2404
Excluded Combinations-
Lectures 15Seminars 5
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent Study 55Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 75
Student Workload (hours)
MA2414 Mortality Modelling
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Coursework (Final) 100 0003 Written report 100 Y
Period: Semester 1Occurence: ACoordinator: John HuntonMark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
002 Coursework (Final) 100 0
Period: Semester 1Occurence: ECoordinator: John HuntonMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 10
Intended Learning OutcomesTo write a clear and logical presentation of their topic based on the given notes and work programme.To give oral explanations of some of their solutions.To reflect on problem-solving skills used.To develop self study skillsTo develop oral communication skills by presenting solutions and making group presentation.To develop team working skills by working in groups on the group presentations and poster presentation ."
Teaching and Learning Methods"Seminars based on topic of students choice from a list of topics. Seminars based on the topic of students choice from a list oftopics. Poster presentation, group presentation and a written report on the module.
Assessment MethodsGroup poster presentation, group presentation to larger group of peers and staff and individual written report.
Pre-Requisitesnone
Co-Requisitesnone
Excluded Combinations-Certain students taking MA2510 cannot take MA2511 - those on the following degrees may only choose one or the other: Maths with Astronomy, Maths with Computer Science
Lectures 1Seminars 1
Practical Classes & Workshops 8Tutorials
FieldworkProject Supervision
Guided Independent Study 65Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 75
Student Workload (hours)
MA2510 Investigations in Mathematics
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Presentations and reports (Final) 100 0003 Report and presentation 100 1 Y
Period: Semester 2Occurence: ACoordinator:Mark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
002 Presentations and reports (Final) 100 0
Period: Semester 2Occurence: ECoordinator:Mark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 10
Intended Learning OutcomesStudents will be able to: apply mathematical techniques to practical business problems; compile reports relating to thebusiness case studies; understand the importance of articulating their academic skills for graduate employment; understandhow to prepare and apply for a year in industry; produce an effective CV targeted towards a jobs advertisement/personspecification; make an oral presentation reflecting on their experience of the topics covered.
Teaching and Learning MethodsModule convenor: Clive RixSeminars, lectures.
Assessment MethodsCase study written report; Case study presentation; Production of an effective CV; Reflective presentation and job interviewassessment.
Pre-Requisitesnone
Co-Requisitesnone
Excluded Combinations-
Lectures 1Seminars 4
Practical Classes & Workshops 10Tutorials
FieldworkProject Supervision
Guided Independent Study 60Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 75
Student Workload (hours)
MA2511 Business Applications of Mathematics
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Computer demonstration 50002 Group work and report 50003 Written report 100 Y
Period: Semester 2Occurence: ACoordinator:Mark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 10
Intended Learning OutcomesDemonstrate flexible application of basic statistical methods.Selection of appropriate methodology for real world data.Demonstration of appropriate use of solutions to inform business decisions.Demonstration of knowledge of advanced functionality in EXCEL, and knowledge of statistical add-ons. Basic statistical programming using VBA and VBA for implementation of statistical methods, and appropriate selection ofinformation for presentation of results to a variety of audiences, including oral and written presentation.
Teaching and Learning MethodsModule convenor: Clive RixLecturesComputer practicalGroup workshop
Assessment MethodsComputer demonstrationWritten reportGroup work
Pre-Requisites
Co-Requisites
Excluded Combinations-
Lectures 12Seminars
Practical Classes & Workshops 16Tutorials
FieldworkProject Supervision
Guided Independent Study 47Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 75
Student Workload (hours)
MA2512 APPLIED ECONOMETRICS
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Year abroad 100
Period: Semester 1Occurence: ACoordinator:Mark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 15
Intended Learning OutcomesRefer to Department for further details
Teaching and Learning MethodsRefer to Department for further details
Assessment MethodsRefer to Department for further details
Pre-Requisites
Co-Requisites
Excluded Combinations-
LecturesSeminars
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent StudyDemonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours
Student Workload (hours)
MA2992 Year Abroad
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Year abroad 100
Period: Semester 1Occurence: ACoordinator:Mark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Year abroad 100101 Alt reassessment using MA2022 exam paper 100 Y
Period: Semester 1Occurence: BCoordinator:Mark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 15
Intended Learning OutcomesRefer to Department for further details
Teaching and Learning MethodsRefer to Department for further details
Assessment MethodsRefer to Department for further details
Pre-Requisites
Co-Requisites
Excluded Combinations-
LecturesSeminars
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent StudyDemonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours
Student Workload (hours)
MA2993 Year Abroad
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Year abroad 100
Period: Semester 1Occurence: ACoordinator:Mark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Year abroad 100101 Alternate reassessment using paper for MA2133 100 Y
Period: Semester 1Occurence: BCoordinator:Mark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 15
Intended Learning OutcomesRefer to Department for further details
Teaching and Learning MethodsRefer to Department for further details
Assessment MethodsRefer to Department for further details
Pre-Requisites
Co-Requisites
Excluded Combinations-
LecturesSeminars
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent StudyDemonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours
Student Workload (hours)
MA2994 Year Abroad
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Year abroad 100
Period: Semester 1Occurence: ACoordinator:Mark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 15
Intended Learning OutcomesRefer to Department for further details
Teaching and Learning MethodsRefer to Department for further details
Assessment MethodsRefer to Department for further details
Pre-Requisites
Co-Requisites
Excluded Combinations-
LecturesSeminars
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent StudyDemonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours
Student Workload (hours)
MA2995 Year Abroad
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Year abroad 100
Period: Semester 2Occurence: ACoordinator:Mark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 15
Intended Learning OutcomesRefer to Department for further details
Teaching and Learning MethodsRefer to Department for further details
Assessment MethodsRefer to Department for further details
Pre-Requisites
Co-Requisites
Excluded Combinations-
LecturesSeminars
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent StudyDemonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours
Student Workload (hours)
MA2996 Year Abroad
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Year abroad 100
Period: Semester 2Occurence: ACoordinator:Mark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Year abroad 100101 Alternate reassessment using paper for MA2032 100 Y
Period: Semester 2Occurence: BCoordinator:Mark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 15
Intended Learning OutcomesRefer to Department for further details
Teaching and Learning MethodsRefer to Department for further details
Assessment MethodsRefer to Department for further details
Pre-Requisites
Co-Requisites
Excluded Combinations-
LecturesSeminars
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent StudyDemonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours
Student Workload (hours)
MA2997 Year Abroad
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Year abroad 100
Period: Semester 2Occurence: ACoordinator:Mark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 15
Intended Learning OutcomesRefer to Department for further details
Teaching and Learning MethodsRefer to Department for further details
Assessment MethodsRefer to Department for further details
Pre-Requisites
Co-Requisites
Excluded Combinations-
LecturesSeminars
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent StudyDemonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours
Student Workload (hours)
MA2998 Year Abroad
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Year abroad 100
Period: Semester 2Occurence: ACoordinator:Mark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 2Scheme: UGDepartment: MathematicsCredits: 15
Intended Learning OutcomesRefer to Department for further details
Teaching and Learning MethodsRefer to Department for further details
Assessment MethodsRefer to Department for further details
Pre-Requisites
Co-Requisites
Excluded Combinations-
LecturesSeminars
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent StudyDemonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours
Student Workload (hours)
MA2999 Year Abroad
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Weekly Exercises 20002 Examination (Final) 80 3005 Exam 100 3 Y
Period: Semester 2Occurence: ACoordinator: Nikolai BrilliantovMark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
002 Examination (Final) 100 3
Period: Semester 2Occurence: BCoordinator: Nikolai BrilliantovMark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
003 Weekly Exercises 20004 Examination 80 3
Period: Semester 2Occurence: ECoordinator: Nikolai BrilliantovMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 3Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesTo use the classification of linear partial differential equations, in order to apply the basic methodsof its solution for one, two and three dimensions. To apply the concepts of eigenfunctions, eigenvalues, and a Green functionin solution of partial differntial equation of hyperbolic, parabolic and elliptic types. To use the Fourierseries and some special functions in solving partial differential equation on domains of different geometry. To derive somebasic equation of matematical physics of hyperbolic, parabolic and analyse the limits of its applications.
Teaching and Learning MethodsLectures, problem classes
Assessment MethodsThere will be an intermediate 1 hour test based on the weekly problem sheets and 3 hour Summer examination. It will have 4questions with full marks obtained by correctly answering 4 of them.
Lectures 30Seminars 10
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent Study 110Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA3002 Equations of Mathematical Physics
Last Published: 3 August 2015
Module Specification
Pre-RequisitesMA2021
Co-RequisitesMA1051
Excluded Combinations-
MA3002 Equations of Mathematical Physics
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Coursework 30002 Examination (Final) 70 2005 Exam (Final) 100 2 Y
Period: Semester 1Occurence: ACoordinator: Ruslan DavidchackMark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
003 Coursework 30004 Examination (Final) 70 2
Period: Semester 1Occurence: ECoordinator: Ruslan DavidchackMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 3Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesStudents should be able to use advanced methods of scientific computing in order to solve linear systems of equations, solvenonlinear equations and systems of equations, interpolateand approximate functions by polynomials, calculate function derivatives and quadratures, solve optimization problems in theleast squares sense, find numerical solutions of ordinary differential equations, and use fast Fourier transform for Fourieranalysis of signals.
Teaching and Learning MethodsLectures, problem classes, instructor-assisted computer lab sessions, revision problem sheets.
Assessment Methods1. Computer assignments designed to develop understanding of numerical algorithms and learn how to implement them in acomputer program (within Matlab). 2. Revision Problem Sheets for assessing students' understanding of theoretical material.3. Two hour January examinationof numerical algorithms and learn how to implement them in a computer program (within Matlab).There will be weekly instructor-assisted computer lab sessions.The 2 hour January examination will have 4 questions, with full marks obtained by correctly answering3 of them.
Pre-RequisitesMA1011, MA2103
Co-Requisites
Lectures 20Seminars
Practical Classes & Workshops 20Tutorials 10
FieldworkProject Supervision
Guided Independent Study 100Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA3012 Scientific Computing
Last Published: 3 August 2015
Module Specification
Excluded Combinations-
MA3012 Scientific Computing
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Examination (Final) 100 3
Period: Semester 1Occurence: ACoordinator: Zahir HussainMark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
002 Examination (Final) 100 3
Period: Semester 1Occurence: ECoordinator: Zahir HussainMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 3Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesOn completion of this module, a diligent student will know the basic concepts and instruments of financial market, the mainconcepts of probability and stochastic processes, will be able to use the knowledge of probability & stochastics to analysedifferent models of financial market.
Teaching and Learning MethodsClass sessions with some handouts
Assessment Methods3 hour written examination
Pre-RequisitesMA1061, MA2021
Co-Requisitesnone
Excluded Combinations-
Lectures 32Seminars 14
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent Study 104Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA3071 Introduction to Financial Mathematics
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Examination (Final) 100 3
Period: Semester 1Occurence: ACoordinator: Stephen GarrettMark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
002 Examination 100 3
Period: Semester 1Occurence: ECoordinator: Stephen GarrettMark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Examination 100 3
Period: Semester 2Occurence: ACoordinator: Stephen GarrettMark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
002 Examination 100 3
Period: Semester 2Occurence: ECoordinator: Stephen GarrettMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 3Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesOn completion of this module, a diligent student will be able to apply cashflow models to financial and business scenarios,and be able to understand standard actuarial notation and fundamental financial concepts. The student will have a clearunderstanding of the role of actuaries in the financial sector.
The student will also practice the ability to self study - an important skill for lifelong learning in any chosen profession.
Lectures 10Seminars 10
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent Study 130Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA3074 Introduction to Actuarial Mathematics
Last Published: 3 August 2015
Module Specification
Teaching and Learning MethodsStudents will be provided with material written specifically for self study which will be paced across the semester. One lecturewill be given per week and the onus is on self study. This study will be supported via electronic means on blackboard. Oneexamples class per week will be given to go through regular (non-assessed) coursework.
Assessment MethodsThe assessment for this module will consist of a 3hr examination on unseen questions.
Pre-RequisitesMA1061
Co-Requisitesnone
Excluded Combinations-
MA3074 Introduction to Actuarial Mathematics
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Coursework 50002 Examination (Final) 50 2005 Examination 100 2 Y
Period: Semester 2Occurence: ACoordinator: Ivan TyukinMark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Coursework 50002 Examination (Final) 50 2005 Examination 100 2 Y
Period: Semester 2Occurence: ECoordinator: Ivan TyukinMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 3Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesThe students will be able to recognize, formulate, and classify linear and nonlinear optimization problems. With regards tolinear optimization (programming), they will be able to apply the theory of the simplex method, and be able to use the methodfor solving problems with linear cost functions and constraints in the form of a convex polyhedron. In addition, the studentswill apply techniques and methods for solving one-dimensional and multi-dimensional constrained and unconstrainednonlinear optimization problems. The students will be able to solve shortest path and minimal-tree problems, and shouldknow basic notions and concepts from the theory of games. Application of programming skills to production of algorithms inVBA.
Teaching and Learning MethodsLectures, problem classes, computer practicals, automated computer assignments, plus optional VBA classes in semester 1
Assessment MethodsClass tests, written reports on computer practicals, final exam, computer demonstration. Class computer test on linearprogramming and networks.
Pre-Requisites
Co-Requisites
Excluded Combinations-
Lectures 33Seminars
Practical Classes & Workshops 10Tutorials
FieldworkProject Supervision
Guided Independent Study 107Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA3077 Operations Research
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Poster Presentation 10002 Examination (Final) 90 2005 Exam 100 2 Y
Period: Semester 1Occurence: ACoordinator: Sibylle SchrollMark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
003 Poster Presentation 10004 Examination (Final) 90 2
Period: Semester 1Occurence: ECoordinator: Sibylle SchrollMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 3Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesDemonstrate ability to construct and work with factor rings. Demonstrate ability to prove and to use tests for irreducibility. Demonstrate ability to relate irreducible elements and maximal ideal in the ring of polynomials over a field. Demonstrate ability to explain the significance and properties of the minimal polynomial.Demonstrate ability to construct extension fields and use the concept of the degree of an extension. Demonstrate ability to apply the concepts introduced in the course to ruler and compass constructions. Demonstrate ability to solve the three classical Greek questions discussed in this moduels.
Teaching and Learning MethodsLectures and problem classes
Assessment MethodsExamination and group project with poster presentation.
Pre-RequisitesMA2132, MA2133
Co-Requisitesnone
Excluded Combinations-
Lectures 33Seminars
Practical Classes & Workshops 10Tutorials
FieldworkProject Supervision
Guided Independent Study 107Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA3101 Irreducible Polynomials and Squaring the Circle
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Examination (Final) 80 3002 Group presentation 20005 Exam 100 3 Y
Period: Semester 1Occurence: ACoordinator: Dimitrina StavrovaMark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
003 Exam 80 3004 Group Presentation 20
Period: Semester 1Occurence: ECoordinator: Dimitrina StavrovaMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 3Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesStudents should know and be able to apply the key concepts of this module:Analytic functions, path integrals, Taylor and Laurent series, singularities and residues of complex functions. Students shouldbe able to explain the main proofs given in the lectures and be able todetermine whether a complex function is differentiable, define and evaluate path integrals, find Taylor and Laurent expansionsof complex functions, calculate residues and use the residue theorem to evaluate real integrals and sums of real series.
Teaching and Learning MethodsLectures and problem classes, coursework.
Assessment MethodsWritten examination and group presentations.
Pre-Requisites
Co-Requisitesnone
Excluded Combinations-
Lectures 30Seminars 10
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent Study 107Demonstration 3
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA3121 Complex Analysis
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Examination (Final) 90 2002 Coursework 10005 Exam 100 2 Y
Period: Semester 2Occurence: ACoordinator: Alexander BaranovMark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
003 Examination 90 2004 Coursework 10
Period: Semester 2Occurence: ECoordinator: Alexander BaranovMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 3Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesTo understand the concepts of symmetries, direct symmetries and isometries;To know classification of finite groups of isometries in R2 and R3;To use the concepts of homomorphisms, normal subgroups and quotient groups and their relevance to the structure of agroup;To understand the concept of a group action and to use group actions for enumeration and to prove fundamental results suchas the Sylow theorems;To calculate using generators and relations and to understand the idea of a group presentation in order to study a group;To know the properties of permutations and of symmetric and alternating groups;To understand the idea of simple groups as the basic building blocks of group theory;To understand and be able to use the main Sylow theorems for finite groups;To understand and be able to use the main Structure Theorem for finitely generated abelian groups.
Teaching and Learning MethodsLectures and problem classes.
Assessment MethodsExamination, marked problem sheets
Pre-RequisitesMA2133
Co-Requisitesnone
Lectures 30Seminars 10
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent Study 110Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA3131 Groups and Symmetry
Last Published: 3 August 2015
Module Specification
Excluded Combinations-
MA3131 Groups and Symmetry
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Group Project (Final) 30002 Skills test 40003 Class test 30007 Exam 100 2 Y
Period: Semester 2Occurence: ACoordinator: Katrin LeschkeMark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
004 Group Project 30005 Skills test 40006 Class test 30
Period: Semester 2Occurence: ECoordinator: Katrin LeschkeMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 3Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesTo know the definitions and the key concepts of curves and surfaces. To be able to reproduce and apply the main results and proofs given in the module. To demonstrate familiarity with the topic and to be able to solve routine problems. To know how to connect visual information with geometric properties.To be able to produce mathematical exhibits and to communicate mathematical content to non-experts.
Teaching and Learning MethodsLectures, example classes, example sheets, group project
Assessment MethodsWritten skills test, computer tests, group project
Pre-RequisitesMA2081, MA1152
Co-Requisitesnone
Excluded Combinations-
Lectures 33Seminars
Practical Classes & WorkshopsTutorials 10
FieldworkProject Supervision
Guided Independent Study 107Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA3152 Curves and Surfaces
Last Published: 3 August 2015
Module Specification
MA3152 Curves and Surfaces
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Examination (Final) 90 2002 Group Work 10005 Exam 100 2 Y
Period: Semester 1Occurence: ACoordinator: Frank NeumannMark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
003 Examination 90 2004 Group Work 10
Period: Semester 1Occurence: ECoordinator: Frank NeumannMark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Examination 100 3
Period: Semester 2Occurence: ACoordinator: Frank NeumannMark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
003 Examination 90 2004 Group Work 10
Period: Semester 2Occurence: ECoordinator: Frank NeumannMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 3Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesTo know the definitions and the key concepts of elementary number theory and to be able to reproduce and apply the mainresults and proofs given in the module. To know how to formulate number theoretical problems in rigorous mathematicallanguage. To demonstrate familiarity with the topic and to be able to solve routine problems.
Lectures 33Seminars
Practical Classes & WorkshopsTutorials 10
FieldworkProject Supervision
Guided Independent Study 107Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA3153 Number Theory
Last Published: 3 August 2015
Module Specification
Teaching and Learning MethodsLectures, example classes, example sheets, group work
Assessment MethodsMarked problem sheets, written examination
Pre-Requisites
Co-Requisitesnone
Excluded Combinations-
MA3153 Number Theory
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Coursework 20002 Examination (Final) 80 3005 Exam 100 3 Y
Period: Semester 1Occurence: ACoordinator: Simona PaoliMark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
003 Coursework 20004 Examination (Final) 80 3
Period: Semester 1Occurence: ECoordinator: Simona PaoliMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 3Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesStudents should know the assumptions made in using the generalized linear regression model and be able to calculateconfidence intervals and use hypothesis tests for model parameters. Also be able to assess the fit of a log-linear modelusing a nested hierarchy of log-linear models.
Teaching and Learning MethodsClass sessions with some handouts.
Assessment MethodsMarked problem sheets and examination.
Pre-RequisitesMA1061, MA2201, MA2261
Co-Requisitesnone
Excluded Combinations-
Lectures 30Seminars
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent Study 120Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA3201 Generalized Linear Models
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Written assignments 30002 Group Project 20003 Examination (Final) 50 2004 Exam 100 2 Y
Period: Semester 2Occurence: ACoordinator:Mark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Written assignments 30002 Group Project 20003 Examination (Final) 50 2004 Exam 100 2 Y
Period: Semester 2Occurence: ECoordinator:Mark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 3Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesTo understand the key developments in the history of mathematics; to appreciate the issues surrounding the interpretation ofhistorical mathematical texts; to have an improved understanding of the relationships between different aspects ofmathematics and how they evolved.
Teaching and Learning MethodsLectures, seminar, field trip, optional consultations, online resources, reading, electronic search
Assessment MethodsMarked essays, poster presentation, written examination
Pre-RequisitesA deep felt interest in the history of mathematics and a general familiarity with mathematical concepts at about second yearundergraduate level
Co-Requisitesnone
Excluded Combinationscannot be taken with MA3511
Lectures 14Seminars 2
Practical Classes & Workshops 2Tutorials
Fieldwork 9Project Supervision
Guided Independent Study 123Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA3501 History of Mathematics
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Coursework (Final) 100
Period: Semester 2Occurence: ACoordinator: Nicole SnashallMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 3Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning Outcomes1. presentation skills,2. the ability to select information appropriately for presentation to a target audience,3. skills in analysing mathematical information from books or journals,4. writing skills,5. the ability to work effectively in a team setting,6. the ability to apply knowledge in ways that are relevant the school environment,7. to critically evaluate communication skills within a classroom setting.
Teaching and Learning MethodsSeminars and in school experience.
Assessment MethodsThe UAS component of the coursework will be assessed via your written evaluation of your special project, and anassessment by the teacher with whom you worked. In total this counts for 55% of the mark. The university component counts for 45% and will be assessed via written work, an oral presentation, contribution to adiscussion board, and groupwork.
Pre-Requisites{IMPORTANT NOTE}: Any student who wishes to take this module MUST complete an application form prior to beinginterviewed and accepted. This is part of the requirement for the module being run under the Undergraduate AmbassadorScheme (UAS). Electronic application forms will sent directly to students who have chosen the module by the central Schooland College Services team. It is expected that interviews will take place before the end of term in June 2013. CRB checks andtraining must be completed in semester 1 in preparation for placement in schools in semester 2.
Co-Requisitesnone
Excluded Combinations-Students may NOT take this module in combination with MA3501
Lectures 20Seminars
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent Study 70Demonstration
Supervised time in studio/workshopWork Based Learning 60
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA3511 Communicating Mathematics
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Continuous assessment 100
Period: Semester 2Occurence: ACoordinator: Jeremy LevesleyMark Scheme: UG Honours Level
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Continuous assessment 100
Period: Semester 2Occurence: ECoordinator: Jeremy LevesleyMark Scheme: UG Honours Level
Academic Year: 2013/4Module Level: Year 3Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesTo write short reports on a range of research topics.To write more detailed report on one research topic.To deliver a presentation based on their report for an audience of peers
Teaching and Learning MethodsLectures to stimulate research into each of the research areas.Report writing workshop.Presentation skills workshop.Individual supervision of final longer report.
Assessment Methods20% short reports50% longer report30% presentation
Pre-Requisites
Co-Requisites
Excluded CombinationsCannot be taken alongside MA3501, MA3511, MA3513
LecturesSeminars
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent Study 140Demonstration
Supervised time in studio/workshop 10Work Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA3512 Mathematics Research Project
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Continuous assessment 100
Period: Semester 2Occurence: ACoordinator: Jeremy LevesleyMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 3Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesStudents will be able to identify and mathematically model a problemin business. They will learn to do simple programming in Visual Basic. They will be able to implement a mathematicalalgorithm for solving the problem if appropriate. They will be able to test and evaluate the end product. They will be able todocument the process. The will present their findings as to a directors of a company.They will develop employability skills, and go through the process of applying for a job with a CV and accompanying letter ofapplication.Successful students will complete a project with a supervisor from local business.
Teaching and Learning MethodsVisual basic lectures.Employability skills seminar.Individual supervision.
Assessment Methods20% Busines game10% Visual basic skills30% Written project report30% project presentation10% problem statement
Pre-RequisitesTwo years UG maths
Co-Requisites
Excluded Combinations-
Lectures 0Seminars 0
Practical Classes & Workshops 0Tutorials 0
Fieldwork 20Project Supervision 10
Guided Independent Study 120Demonstration 0
Supervised time in studio/workshopWork Based Learning 20
Placement 0Year Abroad 0
Total Module Hours 150
Student Workload (hours)
MA3513 Mathematics Business Project
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Coursework 100 0
Period: Semester 2Occurence: ACoordinator: Alexander GorbanMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 3Scheme: UGDepartment: MathematicsCredits: 20
LecturesSeminars
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent StudyDemonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours
Student Workload (hours)
MA3521 Computational Mathematics Project
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Continuous assessment 100 0
Period: Academic YearOccurence: ACoordinator: Jeremy LevesleyMark Scheme: UG Honours Level
Academic Year: 2013/4Module Level: Year 3Scheme: UGDepartment: MathematicsCredits: 40
Intended Learning OutcomesTo manage other students in delivering a project.Do take part in a business game.To experience some components of setting up a business of their own.To develop IT skills relevent to the commercial world.Pursue a course of self-study with guidance from a member of staff.Write a structured project report on a computational mathematical topic.Receive instruction on making a formal oral presentation.Give an oral and visual presentation to a group of peers and staff.
Teaching and Learning MethodsStudents will be able to identify and mathematically model the business problem. They will be able to implement amathematical algorithm for solving the problem if appropriate.They will be able to test and evaluate the end product. They will be able to document the process.
Assessment MethodsOral presentation.Written presentation.IT product.Teamwork.Business gameBusiness plan
Pre-Requisites2 years UG maths
Co-Requisitesnone
Excluded Combinations-Cannot be taken with MA3562
LecturesSeminars
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent Study 260Demonstration
Supervised time in studio/workshop 20Work Based Learning 20
PlacementYear Abroad
Total Module Hours 300
Student Workload (hours)
MA3561 Mathematics With Management Project
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Continuous assessment 100
Period: Academic YearOccurence: ACoordinator: Jeremy LevesleyMark Scheme: UG Honours Level
Academic Year: 2013/4Module Level: Year 3Scheme: UGDepartment: MathematicsCredits: 30
Intended Learning OutcomesTo manage other students in delivering a project.Do take part in a business game.To experience some components of setting up a business of their own.To develop IT skills relevent to the commercial world.Pursue a course of self-study with guidance from a member of staff.Write a structured project report on a computational mathematical topic.Receive instruction on making a formal oral presentation.Give an oral and visual presentation to a group of peers and staff.
Teaching and Learning MethodsStudents will be able to identify and mathematically model the business problem. They will be able to implement amathematical lgorithm for solving the problem if appropriate.They will be able to test and evaluate the end product. They will be able to document the process.
Assessment MethodsOral presentation.Written presentation.IT product.Teamwork.Business planBusiness game
Pre-Requisites2 years UG maths
Co-Requisitesnone
Excluded Combinations-Cannnot be taken with MA3561
LecturesSeminars
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent Study 195Demonstration
Supervised time in studio/workshop 15Work Based Learning 15
PlacementYear Abroad
Total Module Hours 225
Student Workload (hours)
MA3562 Mathematics With Management Project
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Oral Presentation 30002 Written report and documented software 70
Period: Semester 2Occurence: ACoordinator: Jeremy LevesleyMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 3Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesStudents will be able to identify and mathematically model diverse problems in finance and economics. They will be able toimplement a mathematical algorithm for solving the problem if appropriate. They will be able to test and evaluate the endproduct. They will be able to document the process. Students will also receive training in Visual Basic for Applications whichthey will then use to implement numerical methods relevant to their project.
Teaching and Learning MethodsStudents will be able to identify and mathematically model the business problem including a numerical component. They willbe able to implement a mathematical algorithm for solving the problem using their VBA training. They will be able to test andevaluate the end product. They will be able to document the process.
Assessment MethodsBusiness GameVisual Basic SkillsWritten project reportProject presentationProblem statement
Pre-Requisites
Co-Requisites
Excluded Combinations-
LecturesSeminars
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent Study 150Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA3580 Financial Mathematics Project
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Oral presentation 30002 Written report and documented software 70
Period: Semester 2Occurence: ACoordinator: Jeremy LevesleyMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 3Scheme: UGDepartment: MathematicsCredits: 30
Intended Learning OutcomesStudents will be able to identify and mathematically model diverse problems in finance and economics. They will be able toimplement a mathematical algorithm for solving the problem if appropriate. They will be able to test and evaluate the endproduct. They will be able to document the process. Students will also receive training in Visual Basic for Applications whichthey will then use to implement numerical methods relevant to their project."
Teaching and Learning MethodsStudents will be able to identify and mathematically model the business problem including a numerical component. They willbe able to implement a mathematical algorithm for solving the problem using their VBA training. They will be able to test andevaluate the end product. They will be able to document the process."
Assessment MethodsBusiness GameVisual Basic SkillsWritten Project ReportProject presentationProblem Statement
Pre-Requisites
Co-Requisitesnone
Excluded Combinations-
LecturesSeminars
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent Study 225Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 225
Student Workload (hours)
MA3581 Financial Mathematics Project
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Presentation (final) 60 0002 Coursework 40
Period: Semester 1Occurence: ACoordinator:Mark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 3Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesRead and assess his own understanding of a topic in basic Functional Analysis Develop reporting and presentation skills of mathematical topics
Teaching and Learning MethodsReadings, group work, students presentations through supervision.
Assessment MethodsOral presentations and problem sheets, essay writing and oral examination
Pre-RequisitesThis module is only available to third year students on MMath degrees
Co-Requisitesnone
Excluded Combinations-Students may not take both MA3701 and MA3702. Third year M.Math. students must take one of MA3701 or MA3702.
Lectures 20Seminars
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent Study 130Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA3701 Readings in Mathematics 1
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Coursework 40002 Oral examination (Final) 60
Period: Semester 2Occurence: ACoordinator:Mark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 3Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning Outcomes1. Read and assess his own understanding of a topic in Special Realativity 2. Develop reporting and presentation skills of mathematical topics
Teaching and Learning MethodsReadings, group work, students presentations through supervision.
Assessment MethodsOral presentations and problem sheets, essay writing and oral examination
Pre-RequisitesThis module is only available to third year students on MMath degrees
Co-Requisitesnone
Excluded Combinations-Students may not take both MA3701 and MA3702. Third year M.Math.students must take one of MA3701 or MA3702.
Lectures 20Seminars
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent Study 130Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA3702 Readings in Mathematics 2
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Computer Practicals 20002 Examination (Final) 80 2003 Exam 100 2 Y
Period: Semester 2Occurence: ACoordinator: Andrea CangianiMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 4Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning Outcomes"Students will understand the basics from mathematical physics, including the knowledge of many classical PDEs, derivationof some of them, and their properties. Moreover, they will be familiar with basic concepts and methods from numericalanalysis, such as writing a discretised scheme for a PDE, numerical approximation, eigenvalue problems, and consistency,stability, and convergence analysis, focusing on finite element methods. Finally, students will be able to implement thesenumerical methods in MATLAB.
Teaching and Learning MethodsClass sessions/lectures, computer labs and problem classes.
Assessment MethodsThe coursework will consist of regularly assigned exercise sheets, including problem sets and computer assignments. Asubstantial amount of individual work will be required for a student to grasp thetheoretical material (problem sets) and to get enough computational practice (computer exercises) to be able to solve PDEsnumerically. The June examination will have 5 questions, and it will be possible toobtain a full mark by answering any 4 of them correctly.
Pre-RequisitesODEs, calculus and MATLAB
Co-Requisitesnone
Excluded Combinations-
Lectures 31Seminars
Practical Classes & Workshops 9Tutorials 10
FieldworkProject Supervision
Guided Independent Study 100Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA4011 Finite Element Theory and Applications
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Examination (Final) 50 2002 Coursework 20003 Computational Tasks 30004 Exam 100 3 Y
Period: Semester 2Occurence: ACoordinator: Alexander GorbanMark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Examination (Final) 50 2002 Coursework 20003 Computational Tasks 30004 Exam 100 3 Y
Period: Semester 2Occurence: ECoordinator: Alexander GorbanMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 4Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesRepresent the structure of the data mining process and explain the basic notions and operation:data preprocessing, datacleaning. dimensionality reduction, binning, sampling, supervisind and unsupervising learning, classification, clustering,regression, probability distribution estimation, entropy, information, information gain, independence and conditionalindependence, time series, stationary time series (in strong and in weak sense).Analyze a data mining problem, recognize its type and select the adequate approach to solution, from evaluation and cleaningof the dataset to selection of the algorithms for data analysis. Analyze and validate the results.Apply the basic methods and algorithms to data analysis, in particular: for classification kNN and Decision tree algorithms, forclustering k-means, hierarchical clustering and density based algorithms, for prediction multivariate regression (linearregression and the kernel trick), for probability distribution estimation Bayes networks, for dimension reduction principalcomponent analysis, for time series use the basic models( white noise, random walk, moving average processes,autoregressive processes, integrated and ARIMA processes), apply mean filter and median filter, analyze trend and performsegmentation. Construct basic neural networks for data analysis (Hopfield, Kohonen, cascade correlation and back-propagation of errors).
Teaching and Learning MethodsLectures, problem classes, computer practicals.
Assessment MethodsMarked fortnightly work, computer logs, written examination.
Lectures 33Seminars 11
Practical Classes & Workshops 11Tutorials
FieldworkProject Supervision
Guided Independent Study 95Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA4022 Data Mining and Neural Networks
Last Published: 3 August 2015
Module Specification
Pre-RequisitesMA2081, MA2103
Co-Requisites
Excluded Combinations-
MA4022 Data Mining and Neural Networks
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Examination (Final) 90 3002 Class test 10003 Exam 100 3 Y
Period: Semester 1Occurence: ACoordinator: Sergei PetrovskiyMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 4Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesThe student is required to demonstrate knowledge of the main principles of model building and analysis in population biologyand ecology.
Teaching and Learning MethodsLectures, seminars.
Assessment MethodsContinuous assessment is achieved through regular assessment of the student’s work at problem classes. Summativeassessment is also based on the results of written examination
Pre-RequisitesMA2021, MA2081
Co-Requisites
Excluded Combinations-
Lectures 27Seminars 9
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent Study 114Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA4061 Topics in Mathematical Biology
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Examination (Final) 100 3
Period: Semester 2Occurence: ACoordinator: Sergey UtevMark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Examination (Final) 100 3
Period: Semester 2Occurence: ECoordinator: Sergey UtevMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 4Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesBy the end of this module a student should be able to define the main concepts of financial market instruments; the studentshould be able to apply the martingale technique and stochastic analysis to option pricing."
Teaching and Learning MethodsLectures, example classes, problem classes.
Assessment MethodsThe final assessment of this module will consist of 100% from a three hour examination.
Pre-RequisitesMA3071
Co-Requisites
Excluded Combinations-Only available to MMath degree Year 4 students only
Lectures 33Seminars 11
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent Study 106Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA4072 Financial Mathematics II
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Examination (Final) 90 3002 Programming Test 10003 Exam 100 3 Y
Period: Semester 2Occurence: ACoordinator: Sergei LevendorskiyMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 4Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesBy the end of the course students should have a general understanding of the language, concepts, main objects and groupsof methods for pricing contingent claims (derivatives) of various kind, including equity derivatives, interest rate derivatives,credit risk derivatives, commodity derivatives, which will allow them understand new developments in the rapidly changingand expanding huge field worth several hundred trillion dollars, develop new variations and write corresponding programs.
Teaching and Learning MethodsLectures and problem classes
Assessment MethodsThe final assessment of this module will consist of 10% from test of programming skills in applications to finance and 90%from a three hour examination during the May-June exam period. The examination paper will contain 4 questions with fullmarks on the paper obtainable from 4 complete answers"
Pre-RequisitesMA1061, MA1152, MA2021 or MA2022, MA3121
Co-Requisites
Excluded Combinations-Only open to MMath 4th years.
Lectures 30Seminars 10
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent Study 110Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA4078 Advanced Methods in Derivative Pricing
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Exam 90 3002 Group Project 10 3003 Exam 100 3 Y
Period: Semester 1Occurence: ACoordinator: Sibylle SchrollMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 4Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesStudents will learn core materials in representation theory based on the representation theory of finite groups. They will obtaina working knowledge of the subject, based on a group characters and construct character tables for smaller groups. Aparticular emphasis will be on the symmetric group. The students will be able to connnect the representation theory of finitegroups to applications in other disciplines such as chemistry. In guided group projects, students will select topics of the courseto present. This will be focused on character tables and applications of the representation theory to other mathematicalsubjects suc as dynamics or combinatorics and to other disciplines such as chemistry or physics.
Teaching and Learning Methods30 hours of lectures with unassessed problem sheets and assignments. 12 problem or revision classes. Poster presentations.
Assessment Methods2 hour exam and assessed group project poster.
Pre-Requisites
Co-Requisites
Excluded Combinations-
Lectures 30Seminars
Practical Classes & Workshops 12Tutorials
FieldworkProject Supervision
Guided Independent Study 108Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA4142 Representation Theory of Finite Groups
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 COURSEWORK 80002 Presentation 20
Period: Semester 2Occurence: ACoordinator: Teimuraz PirashviliMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 4Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesAfter finishing this module a student should have working knowledge of the notion of a differentiable manifold, includingvarious advanced concepts and methods of mutivariable calculus, such as the implicit function theorem and, inverse functiontheorem, various examples of manifoldsassociated with matrix groups and their homogeneous spaces. Among morespecialized topics are: integration on manifolds, Stokes' theorem and the de Rham cohomology, including the calculation ofde Rham cohomology of spheres, homogeneous spaces and homotopy invariance of the de Rham cohomology.
Teaching and Learning MethodsLectures and problem classes.
Assessment MethodsCoursework and presentations.
Pre-Requisites
Co-Requisites
Excluded Combinations-
Lectures 33Seminars 11
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent Study 106Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA4143 GEOMETRY AND TOPOLOGY
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Exam 90 2002 Group Project 10003 Exam 100 2 Y
Period: Semester 2Occurence: ACoordinator: John HuntonMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 4Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesStudents will learn core material in homotopy theory, identifying and distinguishing global, topological phenomena in a varietyof mathematical systems, and will obtain a working knowledge of some of the classical tools for analysing and utlising suckinformation. In guided group projects, students will slect, work through in detail, and present examples if important current ofclassical applications of homotopy theory in a variety of possible areas of mathematics and related disciplines, such asgeometry, algebra, dynamics, data analysis, economics or biology.
Teaching and Learning Methods30 hours of lectures with unassessed problem sheets and assignments. 12 problem or revision classes. Guided group work inprojects.
Assessment Methods2 hour exam and group project work assessed by presentation and written report.
Pre-Requisites
Co-Requisites
Excluded Combinations-
Lectures 30Seminars 1
Practical Classes & WorkshopsTutorials 12
FieldworkProject Supervision 2
Guided Independent Study 105Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA4144 Topology and its Applications
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Examination (Final) 50 3002 Test 50
Period: Semester 2Occurence: ACoordinator: Teimuraz PirashviliMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 4Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesTo enable student to: Understand and define the Galois Group of a field extension and the Galois group of a polynomial.Understand and prove the Galois correspondence, including the relationship between normal subject structure of the Galoisgroupd and normality of the intermediate extensions.Understand the definition of a solvable group and be able to determine whether or not a group of reasonable size is solvable.Appreciate the significance of the Galois group of a polynomial as a group of permutations of the roots.Prove that the alternating group of degree at least 5 is simple.Understand the definition of a radical extension and prove that such an extension has a solvable Galois group.Understand that the symmetric group is the Galois group of the general polynomial.Be able to construct polynomials whose Galois group is not solvable.Be able to apply Galois Theory for certain transcendence proofs in Number Theory.
Teaching and Learning MethodsLectures, Problem classes
Assessment Methodswo exams - one take-home during the Easter break and one during the Midsummer Examinations
Pre-RequisitesMA2103
Co-Requisitesnone
Excluded Combinations-
Lectures 33Seminars 10
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent Study 107Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA4161 Galois Theory
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Coursework (Final) 100 0
Period: Semester 1Occurence: ACoordinator:Mark Scheme: UG Pass for Credit
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Coursework (Final) 100 0
Period: Semester 2Occurence: ACoordinator:Mark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 4Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesThe student will establish the lines of enquiry to be followed and produce a final thesis and presentation on this planned work.
Teaching and Learning MethodsWeekly supervisions and independent study.
Assessment MethodsProject description document, diary, presentation, written thesis.
Pre-Requisites
Co-Requisitesnone
Excluded CombinationsThis module is available only to final year MMath Mathematics with Astronomy students and it may not be taken in the samesemester as PA4970.
LecturesSeminars
Practical Classes & WorkshopsTutorials 14
FieldworkProject Supervision
Guided Independent Study 136Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA4501 Mathematics Project
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Coursework (Final) 100
Period: Academic YearOccurence: ACoordinator: Alexander BaranovMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 4Scheme: UGDepartment: MathematicsCredits: 40
Intended Learning OutcomesThe student will establish the lines of enquiry to be followed and produce an interim report at the end of the first semester,demonstrating both progress to date and a detailed plan of the further steps needed to complete the work. In the secondsemester, the student will complete the project work planned and produce a substantial Mathematics dissertation.
Teaching and Learning MethodsWeekly supervisions and independent study
Assessment MethodsProject description document, diary, presentations, written thesis.
Pre-RequisitesOnly 4th year students on the M.Math. Mathematics and M.Math. Mathematics with Astronomy degreesdegree are allowed to take this module.
Co-Requisites
Excluded Combinations-This module cannot be taken in combination with the 20-credit project MA4501.Mathematics with Astronomy students may not take this module in combination with PA4970.
Lectures 28Seminars
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent Study 272Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 300
Student Workload (hours)
MA4504 Mathematics Project
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Coursework (Final) 100
Period: Semester 1Occurence: ACoordinator: Alexander ClarkMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 4Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesAt the end of this module, typical students should be able to demonstrate knowledge and understanding of the chosen topicstudied in this reading module, and have communicated this through seminar discussions, written work and an oralpresentation.
Teaching and Learning MethodsSeminars, guided reading, problems/project.
Assessment MethodsSeminar, written problems/project, oral examination.
Pre-RequisitesThis module is only available to fourth year M.Math. students as three years of undergraduate mathematics are required.
Co-Requisites
Excluded Combinations- Students may not take both MA4701 and MA4702
LecturesSeminars 22
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent Study 128Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA4701 Advanced Readings in Mathematics
Last Published: 3 August 2015
Module Specification
No. Assessment Description Weight % Exam Hours Ass't Group Alt Reass't
001 Coursework (Final) 100
Period: Semester 2Occurence: ACoordinator: Teimuraz PirashviliMark Scheme: UG Pass for Credit
Academic Year: 2013/4Module Level: Year 4Scheme: UGDepartment: MathematicsCredits: 20
Intended Learning OutcomesAt the end of this module, typical students should be able to demonstrate knowledge and understanding of the chosen topicstudied in this reading module, and have communicated this through seminar discussions, written work and an oralpresentation.
Teaching and Learning MethodsSeminars, guided reading, problems/project.
Assessment MethodsSeminar, written problems/project, oral examination.
Pre-RequisitesThis module is only available to fourth year M.Math. students as three years of undergraduate mathematics are required.
Co-Requisites
Excluded Combinations- Students may not take both MA4701 and MA4702
LecturesSeminars 10
Practical Classes & WorkshopsTutorials
FieldworkProject Supervision
Guided Independent Study 140Demonstration
Supervised time in studio/workshopWork Based Learning
PlacementYear Abroad
Total Module Hours 150
Student Workload (hours)
MA4702 Advanced Readings in Mathematics
Last Published: 3 August 2015