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Home : College of Science and Engineering : School of Informatics (Schedule O) : Artificial Intelligence and Education

User Modelling (Level 11) (P01534)

? Credit Points : 10  ? SCQF Level : 11  ? Acronym : INF-P-UMOD

User modelling studies tools and techniques for constructing interactive computer systems that can be adapted, or can adapt themselves, to the skills, knowledge and needs of their users. It draws on Human-Computer Interaction (particularly intelligent interfaces and cognitive engineering), Artificial Intelligence (particularly knowledge-based systems), the Instructional Sciences (particularly computer-based tutoring systems), Linguistics (particularly dialogue models), and Information Retrieval.

Entry Requirements

? Pre-requisites : Human-Computer Interaction (Level 10/11) For Informatics PG students only, or by special permission of the School.

? Prohibited combinations : User Modelling (Level 10)

Subject Areas

Delivery Information

? Normal year taken : Postgraduate

? Delivery Period : Not being delivered

? Contact Teaching Time : 2 hour(s) per week for 10 weeks

Summary of Intended Learning Outcomes

Demonstrate, in writing, knowledge of the issues and problems in user modelling; demonstrate understanding of modelling techniques by diagnosing problems in relations between users---particularly students---and adaptive systems; use design principles and methodologies in solving simple user modelling problems; demonstrate awareness of current areas of research by locating and summarising examples of recent progress; exercise ability to solve problems of an open-ended nature, or to relate them to other such problems as covered in the course.

Assessment Information

Written Examination - 70%
Assessed Assignments - 30%

Exam times

Diet Diet Month Paper Code Paper Name Length
1ST May - - 1 hour(s) 45 minutes

Contact and Further Information

The Course Secretary should be the first point of contact for all enquiries.

Course Secretary

Miss Gillian Watt
Tel : (0131 6)50 5194
Email : gwatt@inf.ed.ac.uk

Course Organiser

Dr Douglas Armstrong
Tel : (0131 6)50 4492
Email : Douglas.Armstrong@ed.ac.uk

Course Website : http://www.inf.ed.ac.uk/teaching/courses/

School Website : http://www.informatics.ed.ac.uk/

College Website : http://www.scieng.ed.ac.uk/

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