Undergraduate Course: Informatics Research Methodologies (Level 10) (INFR10021)
Course Outline
| School | School of Informatics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 10 (Year 4 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | The aim of this module is to teach the methodologies of and the skills for conducting research in Informatics. |
| Course description |
The module will cover: the nature of Informatics and Informatics research; criteria for assessing Informatics research; different methodologies for Informatics research and how to combine them; the design of experiments and evaluations; software engineering methodologies suitable for research programming; practical advice on conducting research; and numerous research skills including: reading, reviewing, presenting, writing, design, etc.
Relevant QAA Computing Curriculum Sections: None applicable
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | Students MUST NOT also be taking
Informatics Research Methodologies (Level 11) (INFR11019)
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Other requirements | Successful completion of Year 3 of an Informatics Single or Combined Honours Degree, or equivalent by permission of the School. This course assumes a knowledge of basic probability, and is intended for those UG4 students intending to do an Informatics-related research degree. |
Information for Visiting Students
| Pre-requisites | None |
Course Delivery Information
| Not being delivered |
Learning Outcomes
1 - Understand and apply various Informatics methodologies;
2 - Present a seminar on an area of Informatics research;
3 - Review Informatics research papers;
4 - Analyse and direct their UG4 project using what they have learnt from this course.
5 - Deploy their transferable skills of reading, writing and design, more effectively.
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Reading List
* Bundy, A. Artificial Intelligence Research Methodologies: Lecture Notes
* Milner, R. Is computing an experimental science?, Journal of Information Technology 2,2, 1987, pp60--66.
* Bundy, A., du Boulay, B., Howe, J.A.M. and Plotkin, G. The Researchers Bible, 1995.
* Lighthill, J. The Lighthill Report. SRC, 1974.
* Sloman A. Exploring design space and niche space, Procs Scandinavian Conference on AI, 1995.
* Stevens, P., A verification tool developer's vade mecum. |
Contacts
| Course organiser | Dr Mary Cryan
Tel: (0131 6)50 5153
Email: mcryan@inf.ed.ac.uk |
Course secretary | Miss Kate Weston
Tel: (0131 6)50 2692
Email: Kate.Weston@ed.ac.uk |
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