Programme Specification for the BSc in Artificial Intelligence & Computer Science with an Industrial Year
NOTE: This is a formal specification for the degree programme. If you are not yet a student in the School, you will find more appropriate information on the Undergraduate Admissions pages.
| Final Award | BSc |
| Interim Awards | None |
| Programme Title | Artificial Intelligence & Computer Science with an Industrial Year |
| School/Department | School of Computer Science |
| Banner Code | 9502 |
| Mode(s) of Study | Full-time |
| Length of Programme | 4 years |
| Total Credits | 480 |
| UCAS Code | GG47 |
| Awarding Institution | The University of Birmingham |
| Teaching Institution | The University of Birmingham |
| Designed for accreditation by | British Computer Society [See Footnote 2] |
| QAA Benchmarking Groups | Computing |
| Completed by | Dr J E Rowe |
| Date | 14 April 2011 |
| Educational Aims of Programme | |
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Within the context of the general Learning & Teaching Aims of the School, this four-year single honours degree programme aims to provide:
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| Reference Points used to inform Programme Outcomes | |
| Computing Benchmarking Statement, UK-SPEC, Requirements of Accrediting Bodies, the University and School Teaching and Learning Strategies. | |
| Special features of the Programme | |
| None. | |
Programme Outcomes and Learning, Teaching and Assessment Strategies |
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Knowledge & Understanding |
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| Ref | A. Students are expected to have knowledge and understanding of... | Teaching, Learning & Assessment Strategies to enable outcome to be achieved and demonstrated | |
| Learning & Teaching Methods | Assessment Methods | ||
| 1 | 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. | Lectures, Tutorials, Exercise classes, Practical work, Independent study | Examinations, Coursework |
| 2 | Appropriate theory, practices and tools for the specification, design, implementation and evaluation of computer-based systems, particularly those with an Artificial Intelligence orientation. | Lectures, Tutorials, Exercise classes, Practical work, Independent study | Examinations, Coursework, Reports |
| 3 | The role of computing professionals within a company and the interactions that normally take place with other disciplines. | Working in a commercial environment under the supervision of an Industrial Tutor | Report |
| 4 | The application of technical knowledge in a commercial context at an appropriate level for the student's qualifications. | Working in a commercial environment under the supervision of an Industrial Tutor, in particular completing one or more technical projects as required by the company | Successful completion of at least 30 weeks of the placement (as determined by the Industrial Tutor and the Academic Tutor), Report |
| 5 | The standard of professional presentation and reporting skills required in industry and commerce. | Maintenance of a log-book; undertaking presentations and/or making reports as may be required by the company under the supervision of an Industrial Tutor | Log-book, Report, Evaluation by the Industrial Tutor and the Academic Tutor |
Skills & Other Attributes |
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| Ref | B. Students are expected to have attained the following skills and other attributes: | Teaching, Learning and Assessment Strategies to enable outcome to be achieved and demonstrated | |
| Learning & Teaching Methods | Assessment Methods | ||
| 1 | The ability to apply the knowledge and understanding noted above to the analysis of a given information handling or Artificial Intelligence related problem. | Lectures, Tutorials, Exercise classes, Practical work, Projects, Independent study | Examinations, Coursework, Reports |
| 2 | The ability to specify, design and construct computer-based systems, using appropriate tools, and to document all stages of this process. | Lectures, Tutorials, Exercise classes, Practical work, Projects, Independent study | Coursework, Reports, Examinations, Presentations |
| 3 | The ability to evaluate computer-based systems in relation to a given information handling or Artificial Intelligence related problem. | Lectures, Tutorials, Exercise classes, Practical work, Projects, Independent study | Coursework, Reports, Examinations, Presentations |
| 4 | A responsible, ethical and open-minded attitude to their work and an understanding of the scope of Artificial Intelligence approaches. | Lectures, Projects | Coursework, Reports, Presentations |
| 5 | The ability to work as a computing professional in a commercial environment, demonstrating a professional and responsible attitude. | Exposure to normal working practices in a commercial environment, under the supervision of an Industrial Tutor | Log-book, Report, Evaluation by the Industrial Tutor and the Academic Tutor |
| (transferable skills) | |||
| 6 | The ability to work both independently and as an effective team member. | Practical work, Projects, Independent study, Working in a commercial environment under the supervision of an Industrial Tutor | Coursework, Reports, Presentations, Log-book, Report, Evaluation by the Industrial Tutor and the Academic Tutor |
| 7 | The ability to use and apply general IT facilities, including those required for effective information-retrieval. | Practical work, Projects | Coursework, Reports, Presentations |
| 8 | Numeracy, in both understanding and presenting cases involving quantitative or similar formal, symbolic dimensions. | Lectures, Tutorials, Exercise classes, Practical work, Projects, Independent study | Coursework, Reports, Presentations, Examinations |
| 9 | Management of learning and development, including time management, organizational skills, and the ability to pursue independently further professional development. | Lectures, Tutorials, Exercise classes, Practical work, Projects, Independent study | Coursework, Reports, Presentations |
Footnotes
- 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.
See also:
- BSc in Artificial Intelligence and Computer Science with an Industrial Year, Year 1
- BSc in Artificial Intelligence and Computer Science with an Industrial Year, Year 2
- BSc in Artificial Intelligence and Computer Science with an Industrial Year, Year 3
- BSc in Artificial Intelligence and Computer Science with an Industrial Year, Year 4