THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2014/2015
Archive for reference only
THIS PAGE IS OUT OF DATE

University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
DRPS : Course Catalogue : School of Informatics : Informatics

Postgraduate Course: Informatics Research Methodologies (Level 11) (INFR11019)

Course Outline
SchoolSchool of Informatics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryThe 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; practical advice on conducting research and numerous research skills including: reading, reviewing, presenting, writing, design, etc.

Relevant QAA Computing Curriculum Sections: None applicable
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
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.
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 - 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.
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.
Additional Information
Course URL http://www.inf.ed.ac.uk/teaching/courses/irm
Graduate Attributes and Skills Not entered
KeywordsNot entered
Contacts
Course organiserDr Iain Murray
Tel: (0131 6)51 9078
Email: I.Murray@ed.ac.uk
Course secretaryMiss Kate Weston
Tel: (0131 6)50 2692
Email: Kate.Weston@ed.ac.uk
Navigation
Help & Information
Home
Introduction
Glossary
Search DPTs and Courses
Regulations
Regulations
Degree Programmes
Introduction
Browse DPTs
Courses
Introduction
Humanities and Social Science
Science and Engineering
Medicine and Veterinary Medicine
Other Information
Combined Course Timetable
Prospectuses
Important Information
 
© Copyright 2014 The University of Edinburgh - 12 January 2015 4:11 am