Programme Specification for the MSc in Intelligent Systems Engineering
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 Taught Postgraduate Admissions pages.
| Final Award | MSc |
| Interim Awards | PGCert, PGDip |
| Programme Title | Intelligent Systems Engineering |
| School/Department | School of Computer Science |
| Banner Code | 6729 |
| Mode(s) of Study | Full-time |
| Length of Programme | 1 year |
| Total Credits | 180 |
| UCAS Code | N/A |
| Awarding Institution | The University of Birmingham |
| Teaching Institution | The University of Birmingham |
| Designed for accreditation by | - |
| QAA Benchmarking Groups | Computing |
| Completed by | Dr P Coxhead |
| Date | 6 Feb 2006 |
| Educational Aims of Programme | |
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Within the context of the general Learning & Teaching Aims of the School, this one-year Masters programme aims to:
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| Reference Points used to inform Programme Outcomes | |
| Computing Benchmarking Statement, 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 intelligent systems. | Lectures, tutorials, exercise classes, practical work, independent study | Examinations, coursework |
| 2 | Appropriate theory, practices and tools for the design, implementation and evaluation of intelligent systems. | Lectures, tutorials, exercise classes, practical work, independent study | Examinations, coursework, reports |
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 intelligent systems or systems engineering problem. | Lectures, tutorials, exercise classes, practical work, projects, independent study | Examinations, coursework, reports |
| 2 | The ability to specify, design and construct intelligent 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 an intelligent systems in relation to a given problem. | Lectures, tutorials, exercise classes, practical work, projects, independent study | Coursework, reports, examinations |
| (transferable skills) | |||
| 4 | The ability to work independently on a substantial software project and as an effective team member. | Projects, Independent study, Practical work | Reports, Presentations, Coursework |
| 5 | Management of learning and development, including time management, organizational skills, and the ability to pursue independently further development of their IT education. | 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.
- It is not intended to admit students to PGCert and PGDip programmes, although these qualifications will be available to students who have met the minimum requirements given in University Regulations. Outcome B4 does not apply to students awarded a PGCert or PGDip without completion of the MSc project.
See also: