Postgraduate Course: Informatics Research Methodologies (Level 11) (INFR11019)
|School||School of Informatics
||College||College of Science and Engineering
||Availability||Not available to visiting students
|Credit level (Normal year taken)||SCQF Level 11 (Postgraduate)
|Home subject area||Informatics
||Other subject area||None
||Taught in Gaelic?||No
|Course description||The aim of this module is to teach the methodologies of and the skills for conducting research in Informatics.
Entry Requirements (not applicable to Visiting Students)
|Prohibited Combinations|| Students MUST NOT also be taking
Informatics Research Methodologies (Level 10) (INFR10021)
||Other requirements|| For Informatics PG and final year MInf students only, or by special permission of the School. This course assumes a knowledge of basic probability, and is intended for those MSc students intending to do an Informatics-related research degree and for students in their first year of an Informatics-related research degree.
|Additional Costs|| None
Course Delivery Information
|Not being delivered|
Summary of Intended 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 - Re-write one of the reviewed papers to address the criticisms made in the review(s).
5 - Deploy their transferable skills of reading, writing and design, more effectively.
|Written Examination 0|
Assessed Assignments 70
Oral Presentations 30
There are 3 items of assessed coursework.
1. A 25 min presentation on a research topic of choice. (30%)
2. Reviews of 2 research papers (out of 4 provided, 2 best scores used). (15% each)
3. A research paper (rewriting one of the four review papers). (40%)
||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; practical advice on conducting research and numerous research skills including: reading, reviewing, presenting, writing, design, etc.
Relevant QAA Computing Curriculum Sections: None applicable
||* 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.
Timetabled Laboratories 0
Non-timetabled assessed assignments 64
Private Study/Other 16
|Course organiser||Dr Iain Murray
Tel: (0131 6)51 9078
|Course secretary||Miss Kate Weston
Tel: (0131 6)50 2692