BSc Artificial Intelligence & Computer Science - 2013
|Programme Title||Artificial Intelligence & Computer Science|
|School/Department||School of Computer Science|
|Length of Programme||3 years|
|Awarding Institution||The University of Birmingham|
|Designed for accreditation by||BCS|
|QAA Benchmarking Groups||Computing|
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 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.
- 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.
- The Learning & Teaching and Assessment Methods above are not intended to be exclusive, but to indicate the main methods in use. Module Descriptions contain more detail.
- 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.