Cynlluniau Astudio

Mathematics


1 : Awarding Institution / Body
Aberystwyth University


2a : Teaching Institution / University
Aberystwyth University


2b : Work-based learning (where appropriate)


Information provided by Department of Mathematics
-

3a : Programme accredited by
Aberystwyth University


3b : Programme approved by
Aberystwyth University


4 : Final Award
Bachelor of Science


5 : Programme title
Mathematics


6 : UCAS code
G10F


7 : QAA Subject Benchmark


Information provided by Department of Mathematics
- Mathematics, Statistics and Operational Research


8 : Date of publication


Information provided by Department of Mathematics
- September 2023

9 : Educational aims of the programme


Information provided by Department of Mathematics
-

The educational aims of the programme are:

 

  • To provide students with knowledge and understanding in a range of topics in Mathematics, including topics in Statistics.

  • To develop skills in the application of such knowledge and understanding to the solutions of problems in Mathematics.

  • To develop the ability to transfer subject-specific skills to a range of topics in Mathematics.

  • To prepare students for careers in Mathematics and Statistics and in allied professions. 

  • To develop analytical reasoning skills, team-working skills, information technology skills and other skills appropriate to a wide range of careers.



10 : Intended learning outcomes


Information provided by Department of Mathematics
- The programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:

10.1 : Knowledge and understanding


Information provided by Department of Mathematics
-

Knowledge and understanding:

A1. of fundamental concepts and techniques of calculus, algebra, geometry, analysis, mathematical modelling, probability and statistics.

A2. of more advanced concepts in abstract algebra, real and complex analysis, numerical mathematics, fluid dynamics probability and statistics.

A3. of a selection of specialist topics in Mathematics and Statistics.

A4. of software for the analysis of numerical data.

A5. of software for supporting presentations and producing reports.

Teaching, learning and assessment methods used to enable outcomes to be achieved and demonstrated:

Formal lectures (A1-A4), tutorials (A1-A3), examples classes (A1-A3), practical classes (A4, A5), help-desk encounters (A1), student-initiated informal meetings with lecturers (A1-A4), coursework (A1-A4). Project consultations (A1-A5) for students who have chosen the appropriate module.

 Assessment – unseen written examinations (A1-A3), open-book practical examinations (A1-A4), Presentations (A1-A5), coursework (A1-A4), project report (A1-A5), if appropriate.



10.2 : Skills and other attributes


Information provided by Department of Mathematics
-

10.2.1.      Intellectual skills

 

The ability to

B1. Calculate and manipulate data obtained from, or related to, the bodies of knowledge studied.
B2. Apply a range of concepts and principles in well-defined mathematical or statistical contexts, showing judgement in the selection and application of tools and techniques.
B3. Develop and evaluate logical arguments.
B4. Abstract the essential elements of problems, formulate them in a mathematical context and obtain solutions by appropriate methods.

 

Teaching, learning and assessment methods used to enable outcomes to be achieved and demonstrated 

Formal lectures, tutorials, examples classes, practical classes, revision workshops, help-desk encounters, project consultations, student-initiated informal meetings with lecturers. Skills B1-B4 are developed in all these learning situations.

 

Assessment - unseen written examinations, open-book practical examinations, coursework, presentations, project report. Skills B1-B4 are assessed by all these assessment methods.

10.2.2.      Professional practical skills

The Ability to

C1. Present arguments and conclusions effectively and accurately.

C2. Use computer software to analyse and interpret the data.

C3. Use computer software to support presentations and produce reports..

 

Teaching, learning and assessment methods used to enable outcomes to be achieved and demonstrated

Formal lectures, tutorials, examples classes, practical classes, revision workshops, help-desk encounters, student-initiated informal meetings with lecturers. Project consultations where appropriate. Skill C1 is developed in all these learning situations, skills C2-C3 in practical classes.

 

Assessment – unseen written examinations (C1), open-book practical examinations (C2), presentations (C1-C3), coursework (C1 -C2), project report (C1-C3), if appropriate.



10.3 : Transferable/Key skills


Information provided by Department of Mathematics
-

The ability to

D1. Apply general mathematical skills to the interpretation of numerical data.
D2. Work as a member of a team.
D3. Use information technology effectively to manage information.
D4. Manage time and resources effectively.
D5. Develop effective learning skills.
D6. Be aware of the need to plan for employment and of need to develop various skills for such employment.
D7. Work independently

 

Teaching, learning and assessment methods used to enable outcomes to be achieved and demonstrated

 

Skill D1 is developed in all learning environments in the Department of Mathematics and assessed by all assessment methods. Skill D2 is developed during practical classes. Skill D3 is developed primarily in practical classes and assessed by open-book examinations and coursework. Skill D3 is also developed through the use of e-mail, which is a normal means of communication between staff and students. Skills D4 and D5 are developed in an induction course on study skills, in preparing set coursework and submitting it by given deadlines.  Skills D4 and D5 are not explicitly assessed. Skill D6 is developed at meetings with Personal Tutors, by the Careers Development Programme and assessed by a Curriculum Vitae prepared by the student, at occasional recruitment meetings arranged for final-year students in the Department of Mathematics and in other interactions with the Careers Advisory Service. Skills D4, D5 and D7 are developed by independent study for an optional project.



11 : Program Structures and requirements, levels, modules, credits and awards




BSC Mathematics [G10F]

Blwyddyn Academaidd: 2024/2025Cynllun Anrhydedd Sengl - ar gael ers 2015/2016

Hyd (astudio Llawn Amser): 4 blwyddyn

Rheolau Rhan 1

Blwyddyn 1 Craidd (90 Credyd)

Compulsory module(s).

Semester 1
MA01000

Mathematics Tutorial

MA02610

Foundations of Mathematics 1

PH06020

Introduction to Mathematical Methods 1

Semester 2
MA00910

Introduction to Statistics

MA01020

Mathematics Tutorial

MA03610

Foundations of Mathematics 2

PH06520

Introduction to Mathematical Methods 2

Blwyddyn 1 Opsiynau

Choose 30 credits

Semester 1
CS01010

Spreadsheets for University Students

CS01120

Information Technology for University Students

PH04020

Introduction to Fundamentals of Physics I

Semester 2
PH19010

Energy and the Environment

Blwyddyn 2 Craidd (100 Credyd)

Compulsory module(s).

Semester 1
MA10110

Coordinate and Vector Geometry

MA10310

Probability

MA10510

Algebra

MA10700

Career Planning and Mathematical Skills Development

MP10610

Calculus

Semester 2
MA10720

Career Planning and Mathematical Skills Development

MA11110

Mathematical Analysis

MA11210

Differential Equations

MA11310

Statistics

MP11010

Further Algebra and Calculus

Blwyddyn 2 Dewis agored

Choose 20 credits, as advised by the mathematics department

Rheolau Rhan 2

Blwyddyn 3 Craidd (60 Credyd)

Compulsory module(s).

Semester 1
MA25200

Introduction to Numerical Analysis and its applications

MA26600

Applied Statistics

Semester 2
MA21410

Linear Algebra

MA21510

Complex Analysis

MA25220

Introduction to Numerical Analysis and its applications

MA26620

Applied Statistics

Blwyddyn 3 Craidd (20 Credyd)

Compulsory module(s).

Semester 1
PM26020

Mathematical Physics

Semester 2

Blwyddyn 3 Opsiynau

Choose 40 credits as advised by the department, subject to pre-requisites

Semester 1
MA20110

Real Analysis

MA20310

Introduction to Abstract Algebra

MA26010

Distributions and Estimation

MT20110

Dadansoddiad Real

Semester 2
MA25610

Hydrodynamics 1

MA25710

Advanced Dynamics

MT25610

Hydrodynameg 1

Blwyddyn Olaf Opsiynau

Choose 90 - 120 credits from the following modules

Semester 1
MA30110

Group Theory

MA30210

Norms and Differential Equations

MA30510

Differential Geometry of Curves and Surfaces

MA32610

Topology

MA33310

Integral Transforms

MA34110

Partial Differential Equations

MA34610

Hydrodynamics ii

MA36510

Linear Statistical Models

MA37810

Stochastic Models in Finance

MA39910

Project in Mathematics or Statistics

MT30210

Normau a Hafaliadau Differol

MT34110

Hafaliadau Differol Rhannol

MT39020

Cyflwyniad i Addysgu Mathemateg mewn Ysgol Uwchradd

MT39910

Prosiect Mewn Mathemateg neu Ystadegaeth

Semester 2
MA32410

Graphs and Networks

MA34210

Asymptotic Methods in Mechanics

MA34920

Mathematical Models of Biological Systems

MA35210

Topics in Biological Statistics

MA36010

Comparative Statistical Inference

MA37010

Lebesgue Integration

MA37410

Probability and Stochastic Processes

MA38310

Operator Algebra

MA39910

Project in Mathematics or Statistics

MT32410

Graffiau a Rhwydweithiau

MT34210

Dulliau Asymptotig mewn Mecaneg

MT39910

Prosiect Mewn Mathemateg neu Ystadegaeth

Blwyddyn Olaf Dewis agored

Choose 0 - 30 credits, as advised by the mathematics department


12 : Support for students and their learning
Every student is allocated a Personal Tutor. Personal Tutors have an important role within the overall framework for supporting students and their personal development at the University. The role is crucial in helping students to identify where they might find support, how and where to seek advice and how to approach support to maximise their student experience. Further support for students and their learning is provided by Information Services and Student Support and Careers Services.


13 : Entry Requirements
Details of entry requirements for the scheme can be found at http://courses.aber.ac.uk


14 : Methods for evaluating and improving the quality and standards of teaching and learning
All taught study schemes are subject to annual monitoring and periodic review, which provide the University with assurance that schemes are meeting their aims, and also identify areas of good practice and disseminate this information in order to enhance the provision.


15 : Regulation of Assessment
Academic Regulations are published as Appendix 2 of the Academic Quality Handbook: https://www.aber.ac.uk/en/aqro/handbook/app-2/.


15.1 : External Examiners
External Examiners fulfill an essential part of the University’s Quality Assurance. Annual reports by External Examiners are considered by Faculties and Academic Board at university level.


16 : Indicators of quality and standards
The Department Quality Audit questionnaire serves as a checklist about the current requirements of the University’s Academic Quality Handbook. The periodic Department Reviews provide an opportunity to evaluate the effectiveness of quality assurance processes and for the University to assure itself that management of quality and standards which are the responsibility of the University as a whole are being delivered successfully.