1cm1993/maths_pathway_guide_2002_03v9... · Web viewAs a final word, maths and stats has, of course, a web site within the University. It is situated at cm1993/maths/ 2. Modules,

CONTENTS

Section Page1 Introduction 32 Modules, Pathways, Routes and

Programmes of Study4

3 Pathway DirectoryMathematical SciencesStatistical SciencesMathematical Business Analysis

5a (Inserts)5b5e5h

4 Advice about choice of Pathways 6Mathematical SciencesStatistical SciencesMathematical Business AnalysisTeaching Qualifications :BA with Qualified Teacher Status

681012

5 List of modules plus pre-requisites

diagram15

6 Brief Module Descriptions 197 Staff 348 Pathway Leaders 359 Careers and Research 3510 Programme and Award regulations ;

industrial placement; timetable36

staff2000 Page 1 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc

1. Introduction and welcome to ‘Maths and Stats’

‘Maths and Stats’ in the University refers to the subjects pure mathematics, mathematical methods, statistics and operational research which are all branches of mathematics. Both mathematics and statistics are the traditional subjects you probably studied at school or college; operational research is a newer branch of maths which originated during the 1939-1945 world war.

If you want to study mathematics, you will find yourself learning not only about mathematics but about statistics and operational research as well. This will widen your opportunities for careers in mathematics and you will find the two ‘extra’ subjects extend and complement the study of mathematics thus giving you more choice.

During your time in the University, you will learn and understand the content associated with maths and stats - the so-called knowledge and understanding part of the subject. You will also develop mathematical skills such as writing technical reports and using mathematical computer software. These are part of the professional skills a mathematician needs to perform his or her job properly.

In addition to the professional skills, you will also find yourself developing skills such as skills of communication, skills of information technology, and skills of working in groups. You will also develop literacy skills (such as those required for report writing) and, importantly, you will develop the skills of ‘learning how to learn’ so that you can continue to develop after you have left the University.

Also, during your studies, you will develop intellectual skills. So, for example, you will learn how to ‘evaluate’, learn how to ‘criticise’ and learn how to ‘analyse’. This will ensure that when you go out into the real world, you will have the skills of a well developed graduate.

As a graduate in mathematics, you will be expected to have a theoretical knowledge of the topics you have studied. However, the main emphasis of your studies in maths and stats within the University is practice-based rather than theoretically based. This means that a strong emphasis is given to applications, including the use of computer software and the development of professional skills.

As a final word, maths and stats has, of course, a web site within the University. It is situated at http://pers-www.wlv.ac.uk/~cm1993/maths/


http://pers-www.wlv.ac.uk/~cm1993/maths/

2. Modules, Pathways, Routes and Programmes of Study

What is a module?

All our courses are made up of units called modules which contribute towards your final degree/diploma, known as an ‘award’. You need to register and pass a certain number of modules which fall into three types:

1) Core – you must study and pass all these compulsory modules to meet the requirements of your award

2) Core option – you must choose a set number from this group of modules in order to meet your course requirements

3) Elective – you make up the balance of your award with electives. This scheme allows you to include more modules from your subject(s), select modules from a different subject area or choose modules that are skills-based. In addition, the University Elective Programme (UEP) enables you to select blocks of modules in Languages, Information Technology or Business to provide a specific ‘flavour’ to your programme of study.

What is a pathway?

In the University there are two different types of course depending upon what you applied for:

1) Specialist – This enables you to study one particular subject area in real depth2) Joint – Allows you to study two subjects that complement each other

These courses are all made up of modules and the rules governing which modules you must study for your particular course are called pathway rules and consist of:

Specialist pathways

i) A maximum of 90 credits of core or core option modules in each year (level) of studyii) A minimum of 60 credits of core or core option modules in each year (level) of studyiii) 30 credits of elective modules in each year (level) of study

Joint pathways

45 credits of core or core option modules in each year (level) of study


What is a route?

A route is a set of pathways for which you are registered and which leads to your final award:

For a specialist route, you will be registered for a single specialist pathway

eg. BSc (Hons) Psychology or BA (Hons) English

For a specialist route, the pathway rules require you to select the specified number of core option modules and then choose your elective modules to match your interests and possible career ambitions.

For a joint route, you will be registered for two pathways, one from each of your chosen subjects:

eg. the award of BSc (Hons) Computing and Biology is made up of the Computing joint pathway and the Biology joint pathway

For a joint route consisting of subjects A and B, you will need to:

combine the two joint pathways involved choose any necessary core option modules in either or both pathways choose your 30 credits of elective modules which can be;

1) 30 more credits of subject A2) 30 more credits of subject B3) 15 more credits of subject A and 15 credits of subject B4) 15 or 30 credits of another subject5) University Elective Programme

What is a programme of study?

A programme of study is a record of the modules you have registered for, after you have chosen your core option and elective modules. This choice should be made with the help and advice of an academic counsellor. You will receive a transcript on a regular basis showing your programme of study, consisting of your modules and graded results.


3. Pathway DirectoryMATHEMATICAL SCIENCES pathway

Pathway Definition Form

Completed by Ray Binns School SCIT

Pathway Type

JOINT

Pathway Code

Leave blank Pathway Name

Mathematical Sciences Joint

Level 1

Core ModulesModule Code

Module name Semester Credits

MM1008 Introductory Maths Methods SEM 1 15ST1101 Introductory Statistics SEM 1 & 2 15MM1116 Further Maths SEM 2 15

Core Option Modules: None

Pathway CodeLevel 2



MM2282 Maths Methods 1 SEM 1 15ST2204 Applied Statistics SEM 1 15MM2208 Basic techniques of OR SEM 2 15


Pathway Code


Level 3

Core Modules: None

Core Option Modules

you must select either

15 credits from Group A and 30 credits from Group Bor45 credits from Group B

Module Group

Module Code


A MM3333 15 credit project SEM 1 & 2

15

B MM3002 Industrial Statistics SEM 2 15B MM3004 Investigations in Maths 1 SEM 1 15B MM3005 Investigations in Maths 2 SEM 2 15B MM3315 OR (Simulation and Production Planning) SEM 1 15B MM3318 OR (Mathematical Programming) SEM 2 15B MM3330 Applied Multivariate Statistical Analysis SEM 1 15B ST3000 Investigations in Statistics SEM 2 15


STATISTICAL SCIENCES PATHWAY



Pathway Type

JOINT

Pathway Code


Statistical Sciences Joint

Level 1



MM1008 Introductory Maths Methods SEM 1 15ST1000 Statistics and Probability SEM 1 15ST1001 Inference and Data Analysis SEM 2 15


Pathway CodeLevel 2



ST2204 Applied Statistics SEM 1 15ST2000 Further Applied Statistics SEM 2 15MM2208 Basic Techniques of OR SEM 2 15



Pathway CodeLevel 3

Core Modules:

Module Code


MM3002

Industrial Statistics SEM 2 15

Core Option Modules

Rules:

you must select either

15 credits from Group A and 15 credits from Group B

or

30 credits from Group B

Module Group

Module Code



15

B MM3004 Investigations in Maths 1 SEM 1 15B MM3005 Investigations in Maths 2 SEM 2 15B MM3315 OR (Simulation and Production Planning) SEM 1 15B MM3318 OR (Mathematical Programming) SEM 2 15B MM3330 Applied Multivariate Statistical Analysis SEM 1 15B ST3000 Investigations in Statistics SEM 2 15


MATHEMATICAL BUSINESS ANALYSIS PATHWAY



Pathway Type

SPECIALIST

Pathway Code


Mathematical Business Analysis Specialist

Level 1



MM1008 Introductory Maths Methods SEM 1 15ST1101 Introductory Statistics SEM 1 & 2 15AC1004 Accounting in Context SEM 2 15CP1053 Information Systems Analysis YEAR 30CP1173 Introduction to IT SEM 1 & 2 15


Pathway CodeLevel 2



MM2002 Financial Applications of OR SEM 1 15ST2204 Applied Statistics SEM 1 15AC2016 Business Finance SEM 2 15MM2208 Basic Techniques of OR SEM 2 15MM2005 Spreadsheet Modelling SEM 2 15ST2000 Further Applied Statistics SEM 2 15


Pathway Code


Year 3 Industrial Placement year.

Level 3



MM3315 OR (Simulation and Production Planning)

SEM 1 15

MM3318 OR (Mathematical Programming) SEM 2 15MM3002 Industrial Statistics SEM 2 15

Core Option Modules

Rules:

You must select either


or


Module Group

Module Code



15

A MM3334 30 credit project YEAR 30B MM3004 Investigations in Maths 1 SEM 1 15B MM3005 Investigations in Maths 2 SEM 2 15B MM3330 Applied Multivariate Statistical Analysis SEM 1 15B ST3000 Investigations in Statistics SEM 2 15

Further modules from the Computing area and the Business area will be added here when they become available.


4. Advice about choice of Pathways.

As will be obvious to you by now, those of you who wish to become well informed mathematicians need to gain more than just a knowledge and understanding of maths, stats and OR. You need to develop ‘key skills’, ‘intellectual skills’ and ‘professional skills’ as described in the introduction. All of your modules will provide opportunities to develop these skills.

To develop your skills and knowledge, the ‘maths and stats’ subject provides you with a choice of pathways. These are shown in section 3 above. A brief description of the various pathways is provided below starting with Mathematical Sciences.

Mathematical Sciences Joint

If you want to study all the ‘mathematics’ provided by the University, you should consider the pathway Mathematical Sciences.

By the end of your studies in Mathematical Sciences, you will have a good knowledge of both mathematical, statistical and operational research techniques in a practice-based sense and be able to use quantitative methods in industrial, commercial and academic organisations. You will have developed a set of problem-solving skills, have good perseverance skills and be able to use computer mathematical and statistical software in problem solving. You will have well developed personal skills and possess the necessary foundation for continuing education and/or research

This pathway is studied as a ‘joint’ i.e. in collaboration with a second subject, Subject 2. You can study up to about two thirds of your modules in ‘mathematics’ provided you utilise the electives available. At the end of the study, you will have a joint honours degree entitled BSc Mathematical Sciences and Subject 2. Subject 2 can be Sports Studies, Psychology, Computing, Accounting or Business. The title BSc Computing and Mathematical Sciences is a popular combination.

Recommended Electives for Mathematical Sciences

Two sets of recommended electives are provided – one for those who wish to take a ‘maths’ theme (i.e. more traditional maths) and one for those who wish to take a ‘stats and OR’ theme (still with traditional maths but includes more statistics and OR)

Mathematical Sciences suggestion 1 (maths theme)Note: day and times may change in future yearsIf you wish to follow the ‘Maths’ theme, it is recommended that you select MM1105 Pure Maths 1 as your level 1 elective. This will then open up the Pure Maths side with the level 2 elective MM2200 Pure Maths 2 and the level 3 core option MM3004 Investigations in Maths 1. Your recommended elective at level 3 is the MM3002 Industrial Statistics which, although not maths, is useful for job seekers. The level 3 core option MM3005 Investigations in Maths 2 together with core option MM3333 15 credit project rounds off a coherent programme.


Semester1 MM1008(core)

Introd Maths MethsThurs pm

MM1105(elective)Pure Maths 1Tues am

2 MM1116 (core)Further MathsTues am

ST1101 (core)Introductory StatsThus pm

3 MM2282 (core)Maths Meths 1Thurs even

ST2204 (core)Applied StatisticsTues pm

4 MM2208 (core)Basic tech of ORMon am

MM2200 (elective)Nature of MathsWed am

5 MM3004 (co)Invest in Maths 1tba

MM3333 (co)15 credit projectVarious

6 MM3005 (co)Invest in Maths 2tba

MM3002 (elective)Industrial Statstba

Mathematical Sciences suggestion 2 (statistics and OR theme)Note: day and times may change in future years

If you wish to follow a ‘Stats and OR’ theme, it is recommended that you still select MM1105 Pure Maths 1 as your level 1 elective but at level 2 you choose MM2005 Spreadsheet Modelling. The level 3 core options are the two OR modules MM3315 and MM3318. The level 3 elective is, as before, MM3002 Industrial Statistics.


Introd Maths MethsThurs pm


2 MM1116 (core)Further MathsTues am

ST1101 (core)Introd StatsThurs pm

3 MM2282 (core)Maths Methods 1Thurs even

ST2204 (core)Applied StatsTues pm

4 MM2208 (core)Basic Tech of ORMon am

MM2005 (elective)Spreadsheet ModelThus even

5 MM3315 (co)OR(Sim & PP)tba


6 MM3318 (co)OR(Math Prog)tba

MM3002 (elective)Industrial Statstba


Statistical Sciences Joint

If you wish to study less maths and have an emphasis on statistics, you can do so on the pathway Statistical Sciences.

At the end of your studies, you will have a good knowledge of both statistical and operational research techniques in a practice-based sense and be able to use quantitative methods in industrial, commercial and academic organisations. You will also have developed a set of problem-solving skills, have good perseverance skills and be able to use computer statistical software in problem solving. You will have well developed personal skills and possess the necessary foundation for continuing education and/or research

You can study about half of your modules in statistics and operational research. Again this is studied in conjunction with a second subject, Subject 2 and can be any of Computing, Business, Accounting, Sports Studies or Psychology. You cannot choose Mathematical Sciences as your Subject 2 since a number of the core modules for the two pathways are common. At the end of the study, you will have a joint honours degree entitled BSc Statistical Sciences and Subject 2.

Recommended Electives for Statistical Sciences

As a statistician, you will be expected to be familiar with OR and you can study more or less OR as you wish. Irrespective of which you choose, it is recommended that you study the level 1 elective CP1173 Introduction to IT followed by the level 2 elective MM2002 Financial Applications of OR. Then, in year 3, for the ‘Stats and OR’ emphasis, choose the two OR modules MM3315 and MM3318. In year 3, for the ‘Stats’ emphasis, choose MM3330 Applied Multivariate Statistical Analysis and ST3000 Investigations in Statistics.


Statistical Sciences suggestion 1 (statistics theme)Note: day and times may change in future years


Introd Maths MethsThus pm

ST1000(core)Stats and ProbabilityFri am

2 CP1173 (elective)IITvarious

ST1001 (core)Inference and Data AnalysisFri am

3 MM2002 (elective)Fin Apps of ORWed am



ST2000 (core)Further Applied StatsWed am

5 MM3330 (co)App Mult Stat Analysistba


6 MM3002 (co)Industrial Statstba

ST3000 (elective)Invest in StatsMon pm

Statistical Sciences suggestion 2 (statistics and OR theme)Note: day and times may change in future years


Introd Maths MethsThus pm

ST1000(core)Stats and ProbabilityFri am

2 CP1173 (elective)IITvarious

ST1001 (core)Inference and Data AnalysisFri am

3 MM2002 (elective)Fin Apps of ORWed am



ST2000 (core)Further Applied StatsWed am

5 MM3315 (co)OR(Sim & PP)tba


6 MM3002 (co)Industrial Statstba

MM3318 (elective)OR(Math Prog)tba


Mathematical Business Analysis Specialist

If you wish to develop mathematical and professional skills in a business environment, a specialist pathway is provided covering maths, statistics, operational research and aspects of business and computing relevant to maths.

At the end of your studies, you will be able to use applied quantitative methods in business and in particular to facilitate business decision making and make an immediate and effective contribution to the development of computer based systems in either commerce, industry or the public sector. You will also be able to understand the contribution which IT can make within an organisation, have experience of working with computer based systems in organisations and be able to critically evaluate the development and applications of quantitative information systems. You will have the necessary foundation for continuing education and/or research

At the end of this study you will have a specialist honours degree entitled BSc Mathematical Business Analysis.

For the recommended electives see the next page.


Recommended Electives for Mathematical Business Analysis.

If you wish to study more ‘maths’, you should choose your level 1 electives to be MM1116 Further Maths and MM1105 Pure Maths 1. You can then choose level 2 and 3 modules from your core option list.

BSc Mathematical Business Analysis Maths option Note: day and times may change in future years

Sem 1 MM1008(core

)Introd Maths MethsThurs pm

CP1173(core)IITWed am


CP1053(core)Information Systems AnalysisMon am

2 ST1101(core)Introductory StatsTues am

AC1004(core)Accounting in ContextWed even

MM1116(elective)Further MathsThurs am

3 MM2002 (core)Finan Apps of ORWed am


AC2016 (core)Business Finance*tba

MM2282(elective)Maths Meths 1Thurs even


MM2005 (core)Spreadsheet ModelThurs even

ST2000 (core)Further Applied StatsFri am

MM2200(elective)Pure Maths 2

5/6 Industrial Placement

7 MM3315 (core)OR(Sim & PP)

MM3330 (core option)App Mult Stat Analysis

MM3333 (core option)15 credit projectVarious

MM3004 (elective)Invest in Maths 1

8 MM3318 (core)OR(Math Prog)

MM3002 (core)Industrial Stats

MM3005 (core option)Invest in Maths 2

CP3031(elective)**Advanced ITtba

* may be in semester 2 ** may be in semester 1

Your Award includes two core modules in accounting and you can study more accounting by choosing as electives either AC3019 Financial Decision-making or


AC3023 Corporate Finance. You should see a tutor if you wish to take this programme.

Your Award also includes core modules in computing. To study more computing, you can choose as electives from among CP1007 Introduction to Programming for Business, CP2094 Developing Software Applications, CP2001 Databases, CP3341 Database design, CP2018 Graphics and Visualisation and CP3006 Methods for Graphics and Visualisation. You should see a tutor if you wish to take a programme involving more computing.

(b) Transferring between Pathways.

Pathway Mathematical Sciences to Pathway Statistical Sciences

It is usually not possible to transfer from the BA pathways or the BSc MBA to any of the other pathways and vice versa. Nor is it usually possible to move from Statistical Sciences to Mathematical Sciences. However, it is quite possible (and not unusual) for students to move from Mathematical Sciences to Statistical Sciences.

It is important to note that you cannot combine Mathematical Sciences and Statistical Sciences since the two pathways have many modules in common.

Whichever of the two pathways you select, you will find at the start of the course that there is much in common. Both seek to bring students entering with a diverse set of qualifications to the same skills and knowledge base and to provide a basis for further study. Usually, students are enrolled on to mathematical sciences and choose at the end of the first semester or year whether to continue with mathematical sciences or move onto statistical sciences.

All students will initially be registered for the Mathematical Sciences programme. Transfer to Statistical Sciences can occur at the end of any semester though you may find restrictions in your programme. For a transfer at the end of semester 1, you may substitute ST1101 for the core module ST1000

(c) Provision for ‘non-maths’ students

It may be that you are not studying for an award in maths but are studying on a science pathway or another pathway which involves collecting data. In this case, you may feel that a module of elementary ‘stats’ (data analysis) would be useful in assisting you to analyse your data. The module ST1101 Introductory Statistics is recommended for the majority of elementary analyses (up to regression and analysis of variance) and the module ST2204 Applied Statistics for more advanced analyses such as the statistical design and analysis of experiments, multiple regression. For multivariate work, fifty percent of the module MM3330 Applied Multivariate Statistical Analysis covers multivariate analysis of variance, cluster analysis, principal components and canonical correlation (but not factor analysis). For surveys and questionnaires, one third of MM3002 Industrial Statistics is spent on surveys and the analysis of surveys.


(d) Teaching Qualifications

If you wish to become a teacher of mathematics in a secondary school and have the entry qualifications of two A2 levels including Maths or its equivalent such as the Maths Access, you require the three year specialist pathway leading to the BA Maths. Note that one of the three years is the teaching practice year. If you have already studied beyond A2 level in Maths, for instance HND Maths and Statistics or an appropriate OU course, the two year BA Maths pathway is available where you spend one year studying mathematics and one year in teaching practice. (This latter qualification was formerly referred to as the BEd Secondary Shortage Maths). At the end of this study students will achieve an honours degree entitled the BA Maths. You may then apply for Qualified Teacher Status. These pathways are administered by the School of Education with a Maths coordinator provided by the Subject.

(i) BA Maths three year teaching pathway (formerly the BA with Qualified Teacher Status)

This three year pathway is administered by the School of Education and students need to contact the appropriate tutor for enrolment details. The Teacher Training Agency are the drivers for this qualification and they have a number of specified areas in which intending teachers must become proficient. These are pure maths, statistics, probability, information technology and decision maths. You study these over the first two years and then spend the third and final year in teaching practice.

In order to cover all the specified areas, no choice or electives are available in the first two years. The programme is shown below.

BA three year teaching programme.

Semester1 MM1008

Thurs pmST1000Fri am

CP1173Various

MM1105Tues am

2 MM1116Tues am

ST1001Fri am

MM2208Mon am

MM2200Wed am

3 MM2282Thurs even

ST2204Tues pm

MM3004tba

MM2222Mon am

4 MM3005tba

MM3002tba

MM2217Thurs even

TE2038Tues pm

5 Education Education Education Education6 Education Education Education Education

(ii) BA Maths two year pathway (formerly BEd Secondary Shortage Maths)

This two year pathway is administered by the School of Education and students need to contact the appropriate tutor for enrolment details. Again, the Teacher Training Agency department is the driver for this qualification and specifies areas which intending teachers must become proficient in. These are pure maths, statistics, probability, information technology, decision maths. You must study these in the first year and then spend the second (final) year in teaching practice.


Your choice of modules depends upon your qualifications and advice is available from the BEd Maths tutor whose name is given in section 9.

A typical programme is shown below.

Semester1 MM2282

Thurs evenST2204Tues pm

MM2002Wed am

MM2222Mon am

2 MM3005Mon am

MM3002Tues am

MM3004Tues pm

TE2038Tues pm

3 Education Education Education Education4 Education Education Education Education


5. List of Modules

The following list shows those modules which are referred to within this Pathway Guide. The list includes some modules from the computing area and some from the business area. The list also includes timetable information and pre-requisites, where known. For identifying the codes of the pre-requisites, see the Brief Module Descriptions in section 6.

Code Title (pre-requisites) Sem Day

AC1004 Accounting in Context 1 or 2

Sem 1: Tues pm (City) Fri pm (Telford)Sem 2: Mon am (Compton), Wed even (City)

AC2015 Business Accounting (AC1004) 2 to be announcedAC2016 Business Finance (AC1004) tba to be announcedAC3019 Financial Decision-Making (AC2016) 2 to be announcedAC3023 Corporate Finance (AC2016) 1 to be announcedCP1007 Introduction to Programming for Business 2 Wed am, Wed even, Thur am

CP1173 Introduction to IT 1 and 2Sem 1: Wed am; Sem 2: Wed am, Thur even

CP1153 Information Systems Analysis YEARMon pm; Tues pm; Thur am; Fri am

CP2001 Developing Software Applications (CP1053) 1 or 21. Thur am, Thur even; 2. Fri am

CP2018 Graphics and Visualisation (CP1007) tba to be announcedCP2094 Databases (CP1007) tba to be announced

CP3006Methods for Graphics and Visualisation (CP2018) tba to be announced

CP3341 Database Design 1 or 2 1. Fri am; 2. Wed evenMM1004 Introductory Probability (ST1101) 2 Thurs pmMM1005 Introductory Statistics for Health Sciences 1 Thurs amMM1007 Introductory Data Analysis for Business 2 Thurs evenMM1007 Introductory Data Analysis for Business 2 On-line version

MM1008Introductory Maths Methods (AS or A2 level Maths) 1 Mon even, Thur pm

MM1103 Foundation Maths 1 or 2 Mon evenMM1105 Pure Maths 1 (AS or A2 level Maths) 1 Tues amMM1116 Further Maths(MM1008) 2 Tue amMM2002 Financial Applications of OR(MM1008) 1 Wed am

MM2003 Discrete Maths 1 or 2Mon even (sem 1 only) ; Thurs pm (sem 2 only)

MM2005Spreadsheet Modelling (familiarity with a spreadsheet) 2 Thurs even

MM2200 Pure Maths 2 (MM1105) 2 Wed amMM2208 Basic Techniques of OR (MM1008) 2 Mon am

MM2217Social and Historical Aspects of Maths (MM1008 and ST1101) 2 Thurs even

MM2222 Nature of Maths (MM1105) 1 Mon amMM2282 Maths Methods 1 (MM1116) 1 Thur evenMM3002 Industrial Statistics (ST2204) 2 Tues am

MM3004Investigations in Maths 1 (MM2200 or MM2222) 1 Tues pm

MM3005 Investigations in Maths 2 (MM2282) 2 Mon amMM3315 OR(Simulation and Production Planning) 1 Thur pm


(MM2208)MM3318 OR(Mathematical Programming) (MM2208) 2 Thur pm

MM3330Applied Multivariate Statistical Analysis (ST2204) 1 Tues am

MM3333 Project 15 credits 1MM3333 Project 15 credits 2MM3334 Project 30 credits 1&2

ST1101 Introductory Statistics 1 or 2

Tues am, Thur pm (sem 1 only)Mon even, Thur p.m. (sem 2 only)

ST1000Statistics and Probability (AS or A2 level Maths) 1 Fri am

ST1001 Inference and Data Analysis (ST1000) 2 Fri amST2204 Applied Statistics (ST1101 or ST1001) 1 Tues amST2000 Further Applied Statistics (ST2204) 2 Wed amST3000 Investigations in Statistics (ST2204) 2 Mon pm


b) Pathway diagrams

DIAGRAM OF PRE-REQUISITES (Maths, Statistics and OR)

Sem 1 Sem 2 Sem 3 Sem 4 Sem 5 Sem 6


A2 or AS level Maths or

equiv

MM1008 Introd Maths

Meths

ST1000 Prob and

Stats

MM1116 Further

Maths

MM2282 Maths Methods

MM2222 Nature of

Maths

ST2204 Applied

Statistics

MM2003 Discrete

Maths

ST2000 Further Applied

Stats

MM3005 Invest in Maths 2

(Methods)

ST3000 Invest in

Stats A2 or AS level Maths or

equiv


GCSE Maths A to C or

equiv

MM1105 Pure

Maths 1

MM1103 Foundation

Maths

ST1101 Introd

Stats

MM2002 Fin Apps of

OR

MM2200 Pure

Maths 2

MM2217 Soc and Hist Aspects

of Maths

MM2208 Basic Tech of

OR

MM3004 Invest in Maths 1

(Pure Ma)

MM3330 App Mult

Stat Anal

MM3315OR(Sim

and PP)

MM3318OR(Math

Prog)

MM1008 Introd Maths

Meths

or

or

or

oror


MM1005Stats for

Health

MM1007 Data Analysis

for Business

MM1115 Maths for

Computing

MM1004 Introd

Prob

ST1001 Inference and Data

Analysis

MM2003 Discrete

Maths

MM1103 Foundation

Maths

MM3002 Indust

Stats

GCSE Maths A to C or

equiv

DIAGRAM OF PRE-REQUISITES(Business and Computing)Sem 1 Sem 2 Sem 3 Sem 4 Sem 5 Sem 6


AC2023Corpor

Finance AC3019FinanceDecision

-Making

AC2015Bus

Account AC1004Account in

Context

CP1053Inform Systems

Analysis

CP201

Databases

CP3341Database

Design

CP1007 Intro to Prog for Bus

CP2094Devel Software

Apps

CP2018Graphics and Visual

CP3006Meths for Graphics &

Visual

6. Brief Module Descriptions

All modules are 15 credits and, with one exception, are offered at the Wolverhampton main site. The one exception is MM1007 Introductory Data Analysis for Business, which is offered both as a taught module at Compton and as an on-line module under Wolf.

Code AC1004Title Accounting in ContextSemester 1 or 2Level 1Pre-requisite GCSE Maths (grade C or better) or equivalentModule Leader tbaAssessment tbaTimetable occurrence Sem 1 Tues even (City), Fri pm (Telford)

Sem 2 Mon am (Compton); Wed even (City) DescriptionThis module focuses on the financial accounting aspects of accounting. It is core for the BSc Mathematical Business Analysis degree.

Code CP1053Title Information Systems AnalysisSemester YEARLevel 1Pre-requisite GCSE Maths (grade C or better) or equivalentModule Leader tbaAssessment Coursework, test and examination.Timetable occurrence Mon pm; Tues pm; Thurs am: Fri am (students may

have to attend for a 1 hour workshop on another occasion)

DescriptionThis module looks at features of a range of information systems. It is a 30 credit module which is core for the BSc Mathematical Business Analysis degree.

Code CP1173Title Introduction to ITSemester 1 or 2Level 1Pre-requisite GCSE Maths (grade C or better) or equivalentModule Leader tbaAssessment Coursework Timetable occurrence Wed amDescriptionThis module provides an introduction to simple operating systems, word processing, using spreadsheets and using a PC database.


Code MM1004Title Introductory ProbabilitySemester 2Level 1Pre-requisite GCSE Maths C and ST1101 Introductory

Statistics. (ST1101 Introductory Statistics may be studied in the same semester as Introductory Probability).Note: this module may not be studied with either of ST1000 or ST1001.

Module Leader David GodaAssessment Coursework 40%, exam 60%Timetable occurrence Thurs pmDescriptionThis module is an introduction to probability theory and its applications. It aims to develop a knowledge base in probability theory and to develop the students' ability to recognise and use probability concepts in problem solving.

Code MM1005Title Introductory Statistics for Health SciencesSemester 1Level 1Pre-requisite GCSE Maths (grade C or better) or equivalentModule Leader David GodaAssessment Coursework (25%); test 1 (1 hour, 25%); test 2 (1.5

hours, 50%)Timetable occurrence Thurs amDescriptionThis module is the appropriate numeracy/statistics module for students studying for Health Sciences qualifications .

Code MM1007Title Introductory Data Analysis for BusinessSemester 2Level 1Pre-requisite GCSE Maths (grade C or better) or equivalentModule Leader David GodaAssessment Coursework 1 (25%); coursework 2 (25%); exam (2

hours, 50%)Timetable occurrence Thursday evening at ComptonDescriptionThis module is the appropriate module for students studying for the on-line BA Business Administration degree and for HND students studying programmes from the Wolverhampton Business School.

Note: this module is only taught at the Compton site



Code MM1008Title Introductory Maths Methods Semester 1Level 1Pre-requisite Grades N to A of GCE A2 level

in Mathematics or GCE AS level grade D or better in Mathematics.

Module Leader Liz PriceAssessment Coursework (25%); test 1 (1 hour, 25%); test 2 (1.5 hours,

50%) Timetable occurrence Monday evening or Thurs pmDescriptionMM1008 (Introductory Maths Methods) widens the knowledge base of a student with A2 or AS-level Mathematics and develops skills in algebra and calculus.

This is a core module for Combined Awards students studying for Mathematical Sciences or Statistical Sciences, for BA + QTS students and for BSc MBA students.

Code MM1103Title Foundation MathsSemester 1 or 2Level 1Pre-requisite GCSE grade C at least in MathsModule Leader John SeymourAssessment Coursework (20%); test 1 (1 hour, 20%); test 2 (2 hours,

60%)Timetable occurrence Monday evening in either semesterDescriptionThis is the appropriate module for engineering students and others who wish to extend their mathematical experience.Note: this module cannot be taken by students following Combined Awards in Mathematical Sciences or Statistical Sciences, nor by those following BA + QTS pathways or by students on the BSc MBA degree.


Code MM1105Title Pure Mathematics 1Semester 1Level 1Pre-requisite GCE Maths A2 grades N to A or AS

level grades D to A MathsModule Leader Mike ThelwallAssessment Test 1 (1 hour, 20%); test 2 (1 hour,

20%); test 3 (2 hours, 60%)Timetable occurrence Tues amDescriptionThis module provides a solid foundation for the study of algebra and mathematical analysis and provides an insight into the workings of modern mathematics

Code MM1116Title Further MathsSemester 2Level 1Pre-requisite MM1008 Introductory Maths MethodsModule Leader Liz PriceAssessment Test 1( 1 hour, 30%) , exam ( 2 hours, 70%)Timetable occurrence Tues amDescriptionThis module develops various areas of mathematics to a more advanced level by studying the broad areas of calculus, vectors, trigonometry, complex numbers, polar co-ordinates and numerical methods.

This module is core for Mathematical Sciences.


Code MM2002Title Financial Applications of Operational

ResearchSemester 1Level 2Pre-requisite MM1008 Introductory Maths Methods or

MM1103 Foundation MathsModule Leader Peter MusgroveAssessment Coursework 1 (20%),; coursework 2

(20%); test 1 (1 hour 30%), test 2 (1 hour, 30%)

Timetable occurrence Wed amDescriptionThis module introduces students to Operational Research models in the field of Finance. Along with the basic Financial Mathematics students go on to study OR models for Inventory Control, Decision theory, Risk analysis and Game Theory.

This module is core for BSc MBA.

Code MM2003Title Discrete MathsSemester 1 or 2Level 2Pre-requisite Any CP module.Module Leader David WilkinsonAssessment Coursework and testTimetable occurrence Sem 1 Monday even: sem 2 Thurs pmDescription

This module introduces the concepts and techniques of financial mathematics, statistics and discrete mathematics which are useful in solving problems in Computer Science. Topics include set theory, propositions, functions, relations, graph theory, proof by induction, computer algebra, elementary statistics and probability, elementary financial mathematics and an introduction to matrix algebra. It is essential to have a scientific calculator for this module.

This module is only available for students following years 2 or 4 of the Computing Degree Scheme.


Code MM2005Title Spreadsheet ModellingSemester 2Level 2Pre-requisite A familiarity with a spreadsheet.Module Leader Mike ThelwallAssessment Two pieces of coursework (100%)Timetable occurrence Thurs eveningThis module is designed to develop students' confidence in using software for presentation of information. The module includes the writing of macros in Excel, the design of web pages with HTML and JavaScript and the development of further presentation skills including the use of PowerPoint.

This module is core for BSc MBA.

Code MM2200Title Pure Mathematics 2Semester, day and time 2Level 2Pre-requisite MM1105 Pure Maths 1Module Leader David WilkinsonAssessment Test 10%, assignments 30%, exam 60%Timetable Wed amDescriptionThe concept of a group is introduced and seen as the unifying concept in mathematics. Transformation geometry is developed using vectors and matrices.

This module must be studied by BA + QTS students.


Code MM2208Title Basic Techniques of Operational

ResearchSemester 2Level 2Pre-requisite MM1008 Introductory Maths Methods or

MM1103 Foundation MathsModule Leader Mike ThelwallAssessment Course work 20%, Group investigation

20%, exam 60%Timetable occurrence Mon amDescriptionThis module introduces students to two of the most useful basic Operations Research techniques - Linear Programming - including the important special cases of Transportation and Assignment Models and Network analysis of project planning, flows routing and production problems.

The module is core for all students on BSc MBA, Combined Awards Mathematical Sciences and Statistical Sciences and BA + QTS awards.

Code MM2217Title Social and Historical Aspects of

MathematicsSemester 2Level 2Pre-requisite MM1105 Pure Mathematics 1 and

ST1101 Introductory Statistics Module Leader Di ThompsonAssessment 4 assignments 100%Timetable occurrence Thurs eveningDescriptionThe aim of this module is to provide an understanding of the role of mathematics as part of mankind's cultural development and the changing nature of mathematical activity.

This module is recommended for students who wish to enter the teaching profession..


Code MM2222Title Nature of MathematicsSemester, day and time 1Level 2Pre-requisite MM1105 Pure Maths 1Module Leader David WilkinsonAssessment Two courseworks (60%); test 1 (1 hour,

10%), test 2 (1.5 hours, 30%)Timetable occurrence Monday am DescriptionThe theory of convergence of sequences and series is developed in this module and a study is made of the recreational aspects of mathematics.This module must be studied by BA + QTS students.

Code MM2282Title Mathematical Methods 1Semester 1Level 2Pre-requisite MM1116 Further MathsModule Leader Liz PriceAssessment test 1 (1.5 hours, 30%); test 2 (2 hours,

70%)Timetable occurrence Thurs evenDescriptionThis is the key module at level 2 for the development of applicable maths. The emphasis is on differential equations and linear algebra.

This module is core for Combined Awards in Mathematical Sciences and BA + QTS students.

Code MM3002Title Industrial Statistics

Semester, day and time 2Level 3Pre-requisite ST2204 Applied StatisticsModule Leader David SeedhouseAssessment Project 20%, test 20%, exam 60%Timetable occurrence Tuesday amDescriptionA course in statistical analysis which covers the use of quality control techniques, time series analysis, design and analysis of surveys.This module is core for BSc MBA students and is recommended for students following Mathematical Sciences joint.


Code MM3004

Title Investigations in Mathematics 1Semester 1Level 3Pre-requisite MM2200 Pure Maths 2 or MM2222

Nature of MathsModule Leader David WilkinsonAssessment Four pieces of coursework plus a test

(20% each)

Timetable occurrence Tuesday pmDescriptionThe ability of the student to investigate pure mathematics independently is developed by studying four mathematical topics, chosen from a list of at least eight, many of which develop areas introduced in the pre-requisite modules. The study is carried out with the help of booklets provided, each containing notes and a variety of exercises.

This module is core for BA + QTS students.

Code MM3005Title Investigations in Mathematics 2Semester 2Level 3Pre-requisite MM2282 Maths Methods 1Module Leader David WilkinsonAssessment Four pieces of coursework plus a test

(20% each)Timetable occurrence Monday amDescriptionThe ability of the student to investigate mathematical methods independently is developed by studying four mathematical topics, chosen from a list of at least eight (many of which develop areas introduced in the pre-requisite modules) The study is carried out with the help of booklets provided, each containing notes and a variety of exercises.

This module is core for BA + QTS students.


Code MM3315Title Operational Research (Simulation and

Production Planning)Semester 1Level 3Pre-requisite MM2208 Basic Techniques of ORModule Leader Gareth HarriesAssessment Group assignment 50%, individual essay

and presentation 50%Timetable occurrence Thurs pmDescriptionThis module discusses two important Operations Research techniques used in industry - simulation and production planning and uses realistic case studies to illustrate their application.

This module is core for students studying on the BSc MBA degree.

Code MM3318Title Operational Research (Mathematical

programming)Semester 2Level 3Pre-requisite MM2208 Basic Techniques of ORModule Leader Gareth HarriesAssessment Course work 20%, group investigation

20%, exam 60%Timetable occurrence Thurs pmDescriptionThis module extends the work on Linear Programming undertaken in Basic Techniques of Operations Research into a study of sensitivity analysis and duality. Other types of mathematical programming are then considered such as integer programming including formulations with zero-one variables, goal programming and quadratic programming. An introduction to the theory of non-linear optimisation is also included to place each programming technique into a wider context.

This module is core for students studying on the BSc MBA degree.


Code MM3330Title Applied Multivariate Statistical AnalysisSemester 1Level 3Pre-requisite ST2204 Applied StatisticsModule Leader Ray BinnsAssessment Presentation (50%); test (2 hours, 50%)Timetable occurrence Tues amDescriptionThe module covers multivariate techniques such as discriminant analysis, cluster analysis, principal components, Hotelling’s T test and multivariate analysis of variance.

This module is recommended for those students studying Statistical Sciences.

Code: MM3333Title: 15 credit project (Mathematical Sciences)Semester: 1 or 2Level: 3Pre-requisite(s): VariousModule Leader: Gareth HarriesAssessment: Initial report, project management diary, presentation, project

report. A fifteen credit project undertaken with supervision.

Code: MM3334Title: 30 credit project (Mathematical Sciences)Semester: 1 and 2Level: 3Pre-requisite(s): VariousModule Leader: Gareth HarriesAssessment: Initial report, project management diary, presentation, project

report and viva. A thirty credit project undertaken with supervision.


Code ST1000Title Statistics and ProbabilitySemester 1Level 1Pre-requisite GCE Maths A2 or AS level or equivalentModule Leader David GodaAssessment Test 1 (1 hour, 33%); test 2 (1 hour,

33%); coursework (34%)Timetable occurrence Friday amDescriptionThis module provides students with the opportunity to learn how to analyse simple data sets and to apply probability in simple situations

This module and ST1001 Inference and Data Analysis are the appropriate modules for students studying on pathways involving Combined Awards Statistical Sciences, BA + QTS or BSc MBA.

Note: ST1101 Introductory Statistics cannot be studied with this module

Code ST1001Title Inference and Data AnalysisSemester 2Level 1Pre-requisite ST1000 Statistics and ProbabilityModule Leader Teresa PageAssessment Test (1 hour, 20%);

coursework (50%, min E4); exam (2 hours, 30%)

Timetable occurrence Friday amDescriptionA level one module for students wishing to increase their ability to analyse data.Note: students cannot study this module if they have studied or are studying module ST1101 Introductory Statistics.


Code ST1101Title Introductory StatisticsSemester 1Level 1 or 2Pre-requisite GCSE Mathematics (grade C or better)Module Leader David SeedhouseAssessment Coursework (20%); test 1 (1 hour, 20%);

test 2 (2 hours,60%)Timetable occurrence Semester 1: Tues am, Thurs pm

Semester 2: Mon even, Thurs pmDescriptionAn elementary statistics course in which the emphasis is on data analysis for business, biological sciences, environmental sciences, applied sciences, biomedical sciences, sports studies and psychology. A computer workshop in which statistics packages are used is part of the module.

This module is appropriate for those students who require statistics as support for their for their main subject (except Health Sciences for which MM1005 is appropriate), and for students following Combined Awards Joint in Mathematical Sciences.

The appropriate modules for students studying on pathways involving Combined Awards Joint in Statistical Sciences, BA + QTS or BSc MBA are ST1000 Statistics and Probability and ST1001 Inference and Data Analysis.

Code ST2000

Title Further Applied StatisticsSemester 2Level 2Pre-requisite ST2204 Applied StatisticsModule Leader David SeedhouseAssessment Component 1: test 1 (1 hour,17%);

exam (2 hours, 33%); Component 2: coursework (50%)

Timetable occurrence Wednesday amDescriptionThis module covers the analysis of the results from experiments and extends the topics covered in Applied Statistics.

The module is core for students on the BSc MBA pathway


Code ST2204Title Applied StatisticsSemester, day and time 1Level 2Pre-requisite ST1101 Introductory Statistics or

ST1001 Inference and Data AnalysisModule Leader David SeedhouseAssessment Coursework (20%); test 1 (1 hour, 20%);

test 2 (2 hours, 60%)Timetable occurrence Tuesday pmDescriptionThis module covers the analysis of the results from experiments and surveys and extends the topics covered in Introductory Statistics.

The module is core for studying for the awards BSc MBA, Combined Awards in Mathematical Sciences or Statistical Sciences and BA + QTS.

Code ST3000Title Investigations in StatisticsSemester 2Level 3Pre-requisite ST2204 Applied StatisticsModule Leader Ray BinnsAssessment Coursework (90%); test (1 hour, 10%)Timetable occurrence Monday pmDescriptionStudents will investigate the properties of estimators, examine large data sets, collect data from the internet and perform investigations. The teaching consists of both taught and practical sessions.

This module is recommended for students training to become teachers.


7. Staff involved in the delivery of modules

Name Subject and job function

Room Tel. e-mail

R Binns, BSc PhD AFIMA FSS

Statistics, Subject Leader

MU503

1863

[email protected]

D F Goda, MA DipStat FSS

Statistics and Module Group Leader for Statistics

MU505

1444

[email protected],uk

G Harries, MA MSc PhD AFIMA

Mathematics and Operational Research and Module Group Leader for Operational Research

MU313

1485

[email protected]

A Mansfield, BSc

Mathematical Sciences

MU505

1858

[email protected]

P B Musgrove, BSc MSc PhD

Operational Research

MU513

1851

[email protected]

T Page-Kennedy, BSc PGCE MSc

Statistics MU504

1860

[email protected]

E L Price, BSc GradIMA FSS

Mathematics, CA Subject Co-ordinator (Maths and Statistics)

MU504

1859

[email protected]

D E Seedhouse, BSc MSc PhD

Statistics, Education Co-ordinator Mathematics

MU516

1808

[email protected]

J B Seymour, BSc MSc

Mathematics MU516

1449

[email protected]

M Thelwall, BSc PhD

Mathematics and Operational Research

MU517

1470

[email protected]

D Thompson, BSc ARCS PGCE

Mathematics MU301

1861

[email protected]

D Wilkinson, BA MSc PhD

Mathematics, Associate Subject Leader and Module Group Leader for Mathematics

MU517

1452

[email protected]


mailto:[email protected]










8. Pathway Group Leaders/Coordinators

Pathway Leader/ CoordinatorSpecialist: Mathematical Business Analysis Ray Binns

[email protected]

Joint : Mathematical Sciences Liz [email protected]

Joint: Statistical Sciences Liz [email protected]

Specialist: BA Maths (Note: this pathway is the responsibility of the School of Education: Wynn Davies 323240, [email protected])

David [email protected]

9. Careers and Research in the Subject

Careers

Careers for numerate business graduates with the knowledge of mathematical and computing tools and a good understanding of how businesses work are available in a wide range of industrial, commercial and academic organizations, including both academic and private.

Recent graduates have taken jobs as credit controller (operational research), thermal mapper (statistics), sales executive, analyst programmer, financial advisor, trainee accountant, funding analyst, trainee statistician, administrative assistant, quality control assistant and trainee manager. Several students have also gone on to postgraduate study (operational research, medical statistics and PGCE).

Firms who have employed recent graduates include the following: Royal Bank of Scotland, B.D.O. Stoy Hayward, South Kent College, South Staffordshire Council, University of Wolverhampton, Hobson Publishing, Staffordshire Building Society, Royal Insurance

Research:

The Maths and Stats subject has a research group headed by Mike Thelwall under the title of Statistical Cybermetrics. Statistical Cybermetrics is concerned with the modelling of Web links between organisations. Current interests lie with Web links between European Universities.


10. Other Information

(a) Progression and Award regulations

Pathways for Mathematical Business Analysis, Mathematical Sciences and Statistical Sciences in this guide are based on the University Modular Framework and Undergraduate Regulations. The following requirements are in addition to the Standard University Regulations.

Progression to Year 4 sandwich Mathematical Business Analysis.

Students must have satisfied the Industrial Placement.

Award regulations for BSc Mathematical Business Analysis

For the Award of BSc Mathematical Business Analysis (Honours), students must have passed or received a compensated pass in 360 credits and satisfied the Industrial Placement requirement or been granted exemption from the requirement.

Classification of Honours

This will follow the University’s rules in force at the time. The classification of the BSc Mathematical Business Analysis includes is the grade for the Industrial Placement which counts for an additional 15 credits.

(b) Industrial Placement

We have an Industrial Placement team who support students in finding placements. Most part-time students and some full-time students already have suitable work experience in computing and should apply for exemption.


c) Maths and Statistics timetable (Note: these are subject to change). For computing and business see the intranet)

SEM 1 (9.00-1.00 except where indicated)) (2.00-5.00 except where indicated) (6.00-9.00 except where indicated))

MONDAY

MM2222 Nature of Maths zone 2

MM1103 Foundation Maths (4 to 9 pm) zone 2MM1008 Introductory Maths Methods zone 2MM2003 Discrete Maths zone 3

TUESDAY

MM1105 Pure Maths 1 zone 2ST1101 Introductory Statistics zone 2MM3330 App Multivariate Stats Analysis zone 2

ST2204 Applied Statistics (1 to 5 pm) zone 2MM3004 Investigations in Maths 1 zone 2

WEDNESDAY

MM2002 Financial Applications of OR zone 2

THURSDAY

MM1005 Introductory Statistics for Health Sciences zone 3

MM1008 Introductory Maths Methods zone 2ST1101 Introductory Statistics (1 to 5 pm) zone 2MM3315 OR(Simulation and Production Planning) zone 2

MM2282 Maths Methods 1 (5 to 9 pm) zone 2

FRIDAY

ST1000 Statistics and Probability zone 2

SEMESTER 2SEM 2 9.00-1.00 except where indicated) (2.00-5.00 except where indicated) (6.00-9.00 except where indicated)

MONDAY

MM2208 Basic Techniques of OR zone 2MM3005 Investigations in Maths 2 (10 to 1 pm) zone 2

ST3000 Investigations in Statistics zone 2

MM1103 Foundation Maths (4 to 9 pm) zone 2ST1101 Introductory Statistics zone 2

TUESDAY

MM1116 Further Maths zone 2MM3002 Industrial Statistics (10 to 1 pm) zone 2HL4056 Analytical Techniques in Public Health zone 3

WEDNESDAY

ST2000 Further Applied Statistics zone 2MM2200 Pure Maths 2 zone 2

THURSDAY

MM1004 Introductory Probability zone 2MM3318 OR (Mathematical Programming) zone 2MM2003 Discrete Maths zone 3

MM2005 Spreadsheet Modelling (5 to 9 pm) zone 2MM2217 Social and Historical Aspects of Maths (5 to 9 pm) zone 2MM1007 Introd Data Analysis for Business (Compton) zone 2

FRIDAY

ST1001 Inference and Data Analysis zone 2



Documents

1cm1993/maths_pathway_guide_2002_03v9... · Web viewAs a final word, maths and stats has, of course, a web site within the University. It is situated at cm1993/maths/ 2. Modules,