Postgraduate Course: Knowledge Modelling and Management (Level 11) (INFR11072)
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 11 (Postgraduate) |
Credits |
10 |
Home subject area |
Informatics |
Other subject area |
None |
Course website |
http://www.inf.ed.ac.uk/teaching/courses/kmm |
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Course description |
This course provides an introduction to the different types of knowledge modelling methods and explains how knowledge may be described in conceptual models - in order to provide a foundation to support reasoning within modern organisations and to help them carry out tasks. This course will then equip students with advanced knowledge modelling techniques that support knowledge management. The course will emphasise the design and uses of models: examples are ontologies, organisational and process models. It will also cover formal techniques for representation and reasoning with such knowledge. The advanced elements are the ability to analyse and critically review computational models of knowledge. |
Course Delivery Information
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Delivery period: 2010/11 Semester 2, Available to all students (SV1)
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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, Monday, 16:10 - 17:00, Zone: Central. Room G.02, David Hume Tower |
Summary of Intended Learning Outcomes
1 - To understand the principles of ontology design;
2 - To be able to construct an ontology and understand the formal basis of the definitions it contains;
3 - To be able to apply evaluation criteria to assess ontologies;
4 - To understand the issues of sharing knowledge in an organisational context and in a scientific community;
5 - To gain an overview of the different types of knowledge modelling methods and how they may be used together;
6 - To be able to select the appropriate modelling method(s) given certain circumstances;
7 - To be able to construct correct models given a domain;
8 - To be able to carry out reasoning on models based on lightweight logical methods;
9 - To acquire the ability to critically review relevant literature independently thus extend one's knowledge, to solve problems of a more open-ended nature, to critically appraise the strengths and weaknesses of knowledge-based models. |
Assessment Information
Written Examination 75
Assessed Assignments 25
Oral Presentations 0
Assessment
This course will involve systems building tasks in addition to learning modelling methods. Coursework will include practical exercises on realistic knowledge engineering scenarios. At the advanced level, these will involve structured reviews and assessments of designs and solutions.
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. |
Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
Not entered |
Contacts
Course organiser |
Dr Michael Rovatsos
Tel: (0131 6)51 3263
Email: mrovatso@inf.ed.ac.uk |
Course secretary |
Miss Kate Weston
Tel: (0131 6)50 2701
Email: Kate.Weston@ed.ac.uk |
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copyright 2010 The University of Edinburgh -
1 September 2010 6:11 am
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