Programme Specifications

N/A

The aim of this degree scheme is to produce good quality computing graduates with a strong software engineering bias who are highly sought after by industry. The scheme has a well-defined set of core modules that must be studied to ensure that graduates have a wide range of experiences with a good grounding in the major fields of Computing.

This scheme is a joint scheme with the Physics Department and is an outgrowth of the two departments' international reputation in the area of space science and space robotics. Due to its intensive nature, this scheme has very little choice of elective available. Students may enter the scheme with different backgrounds (A level Physics or A level Computer Science) and the first year is tailored accordingly.

The scheme has  the following fundamental aims

• to enable students to develop the skills to be expected of any graduate, including the following skills: to reason logically and creatively; to communicate clearly both orally and in writing; and to be able to obtain and interpret information from a wide range of sources

• to equip students with the skills necessary to program in high-level computing languages

• to enable students to understand and apply the range of principles and tools available to the software engineer

• to  give students a good grounding in the major fields of Computing through a wide range of experiences

• to produce graduates who have the potential to succeed in a rapidly changing industry

• to produce graduates with an understanding of the issues of space science and robotics.

The programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:

The programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas as identified in the QAA benchmark for Computing which may be found on-line at:

https://www.qaa.ac.uk/the-quality-code/subject-benchmark-statements/computing

and is displayed in the tables below.

The scheme focuses on the following components of the QAA benchmark:

• Hardware

Computer architecture and construction

Processor architecture

Software

Programming languages

Software tools and packages

Computer applications

Structuring of data and information

• Communications & interaction

Computer networks, distributed systems

Human-computer interaction

Operating systems

• Practice

Problem identification and analysis

Design, development, testing and evaluation

Management and organisation

Professionalism and ethics

Commercial and industrial exploitation

• Theory

Algorithm design and analysis

Modelling and frameworks

Analysis, prediction and generalisation

Human behaviour and performance

And will equip students in the following Computer Related Cognitive areas:

Knowledge and understanding: demonstrate knowledge and understanding of essential facts, concepts, principles and theories relating to Computing and computer applications.

Modelling: use such knowledge and understanding in the modelling and design of computer-based systems for the purposes of comprehension, communication, prediction and the understanding of trade-offs.

Requirements, practical constraints and computer-based systems (including computer systems, information systems, embedded systems and distributed systems) in their context: recognise and analyse criteria and specifications appropriate to specific problems, and plan strategies for their solution.

Critical evaluation and testing: analyse the extent to which a computer-based system meets the criteria defined for its current use and future development.

Methods and tools: deploy appropriate theory, practices and tools for the specification, design, implementation and evaluation of computer-based systems.

Reflection and communication: present succinctly to a range of audiences (orally, electronically or in writing) rational and reasoned arguments that address a given information handling problem or opportunity. This includes assessment of the impact of new technologies.

Professional considerations: recognise the professional, moral and ethical issues involved in the exploitation of computer technology and be guided by the adoption of appropriate professional, ethical and legal practices.

The first year provides a foundation of programming and computer infrastructure.

The second year builds on the information and techniques studied in the first year by expanding them further and introducing more specialised subjects.

The third year introduces the most advanced topics of the degree scheme and includes a required individual project that allows the student to gain deeper knowledge and understanding in an area of particular interest.

The Computing schemes at Aberystwyth have a significant emphasis on vocational skills.

In this scheme, students will also be expected to develop practical computer related skills giving them:

• The ability to specify, design and construct computer-based systems.

• The ability to evaluate systems in terms of general quality attributes and possible trade-offs presented within the given problem.

• The ability to recognise any risks or safety aspects that may be involved in the operation of computing equipment within a given context.

• The ability to deploy effectively the tools used for the construction and documentation of computer applications, with particular emphasis on understanding the whole process involved in the effective deployment of computers to solve practical problems.

• The ability to operate computing equipment effectively, taking into account its logical and physical properties.

On completion of the programme the student will be able to take responsibility for themselves and their work. They will be able to:

• Work independently

• Respect the views and beliefs of others

• Listen

• Communicate orally

• Communicate in writing

• Communicate electronically

• Word-process

• Use the Web

• Manage time and work to deadlines

• Research issues

• Solve problems

• Adapt to change

• Develop career awareness

And they will exhibit:

• Effective information-retrieval skills.

• Numeracy in both understanding and presenting cases involving a quantitative dimension.

• Effective use of general IT facilities.

• Managing one's own learning and development including time management and organisational skills.

• Appreciating the need for continuing professional development in recognition of the need for lifelong learning.