BSc Artificial Intelligence & Computer Science - 2019

Educational Aims Of Programme

• A solid foundation for a career or further study in computing/IT, including areas involving Artificial Intelligence.
• Coverage of the core areas of Artificial Intelligence and general computer science.
• A solid grounding in the theoretical underpinnings of contemporary developments in Artificial Intelligence and general computer science.
• A solid grounding in practical software development skills, including those appropriate to Artificial Intelligence applications.
• A choice of options in the second year and a wide choice of advanced and specialist options in the third year, covering both Artificial Intelligence and general computer science.

Programme Outcomes and Learning, Teaching and Assessment Strategies

Knowledge and Understanding

• The essential facts, concepts, principles and theories relating to Computing and Artificial Intelligence and their applications as appropriate to the topics covered in the programme.
• Appropriate theory, practices and tools for the specification, design, implementation and evaluation of computer-based systems, particularly those with an Artificial Intelligence orientation.

Skills & Other Attributes

• The ability to apply the knowledge and understanding noted above to the analysis of a given information handling or Artificial Intelligence related problem.
• The ability to specify, design and construct computer-based systems, using appropriate tools, and to document all stages of this process.
• The ability to evaluate computer-based systems in relation to a given information handling or Artificial Intelligence related problem.
• A responsible, ethical and open-minded attitude to their work and an understanding of the scope of Artificial Intelligence approaches.

Transferable Skills

• The ability to work both independently and as an effective team member.
• The ability to use and apply general IT facilities, including those required for effective information-retrieval.
• Numeracy, in both understanding and presenting cases involving quantitative or similar formal, symbolic dimensions.
• Management of learning and development, including time management, organizational skills, and the ability to pursue independently further professional development.

Footnotes

• Programme Year Requirements: Students with a C or better in Mathematics at A-level (or equivalent as approved by the School) must choose one 20 credit or two 10 credit modules from the list of 'modules from outside the main discipline' (MOMDs), excluding modules provided by this School. Students without this level of mathematics must take the 20 credit mathematics module.
• Module Failure: The Syllabus web page for every module defines the resit rules if they are different from the first attempt -- follow the links under the module code.
• Progress Decisions: Please refer the University Regulations for further information on assessment, progression and awards
• Degree Classification: Refer to the University Regulations for further information on the general rules governing degree classification. It is a specific requirement of this programme that students pass the Computer Science Project in order to be awarded an Honours Degree.
• Optional Modules: Where options are available in a particular year, note that not all options may be available. Some option combinations are only available if the timetable permits. Students make preliminary option choices before timetables are available and so changes may be needed later if there are unresolvable clashes. In selecting options, students are responsible for checking pre-requisite and co-requisite requirements.
• Accreditation: Whether to award accreditation is a decision made from time to time by a professional body according to criteria which are then current; hence there is no guarantee that the programme will actually be accredited for any particular year of entry by any particular professional body.