Undergraduate Course: Informatics Research Methodologies (Level 10) (INFR10021)
Course Outline
| School | School of Informatics |
College | College of Science and Engineering |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 10 (Year 4 Undergraduate) |
Credits | 10 |
| Home subject area | Informatics |
Other subject area | None |
| Course website |
http://www.inf.ed.ac.uk/teaching/courses/irm |
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)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | Students MUST NOT also be taking
Informatics Research Methodologies (Level 11) (INFR11019)
|
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. |
| Additional Costs | None |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | Yes |
Course Delivery Information
|
| Delivery period: 2011/12 Semester 1, Available to all students (SV1)
|
WebCT enabled: No |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| Central | Lecture | | 1-11 | | | | | 16:10 - 17:00 | | Central | Lecture | | 1-11 | | 16:10 - 17:00 | | | |
| First Class |
Week 1, Tuesday, 16:10 - 17:00, Zone: Central. AT 4.12 |
| No Exam Information |
|
| Delivery period: 2011/12 Semester 1, Part-year visiting students only (VV1)
|
WebCT enabled: No |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| Central | Lecture | | 1-11 | | 16:10 - 17:00 | | | | | Central | Lecture | | 1-11 | | | | | 16:10 - 17:00 |
| First Class |
Week 1, Tuesday, 16:10 - 17:00, Zone: Central. AT 4.12 |
| No Exam Information |
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 - 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. |
Assessment Information
Written Examination 0
Assessed Assignments 70
Oral Presentations 30
Assessment
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. An analysis of the student's UG4 project. (40%)
If delivered in semester 1, this course will have an option for semester 1 only visiting undergraduate students, providing assessment prior to the end of the calendar year. |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
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 |
| Transferable skills |
Not entered |
| 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. |
| Study Abroad |
Not entered |
| Study Pattern |
Lectures 20
Tutorials 0
Timetabled Laboratories 0
Non-timetabled assessed assignments 64
Private Study/Other 16
Total 100 |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Amos Storkey
Tel: (0131 6)51 1208
Email: A.Storkey@ed.ac.uk |
Course secretary | Miss Kate Weston
Tel: (0131 6)50 2701
Email: Kate.Weston@ed.ac.uk |
|
© Copyright 2011 The University of Edinburgh - 16 January 2012 6:16 am
|
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