Undergraduate Course: Knowledge Modelling and Management (Level 10) (INFR10020)
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/kmm |
|
|
| Course description |
This course addresses knowledge management through knowledge modelling techniques. It provides an introduction to the different types of knowledge modelling methods and explains how knowledge may be described in conceptual models to provide a foundation to support reasoning within modern organisations and to help them carry out tasks. 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. |
Entry Requirements
| Pre-requisites |
It is RECOMMENDED that students have passed
Logic Programming (INFR09031)
|
Co-requisites |
|
| Prohibited Combinations |
Students MUST NOT also be taking
Knowledge Modelling and Management (Level 11) (INFR11072)
|
Other requirements |
Successful completion of Year 3 of an Informatics Single or Combined Honours Degree, or equivalent by permission of the School. Knowledge Representation and Inference and Logic Programming are preferred but not strictly pre-requisite.
|
| Additional Costs |
None |
Course Delivery Information
|
| Delivery period: 2010/11 Semester 2, 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, Monday, 16:10 - 17:00, Zone: Central. Room G.02, William Robertson Building |
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 understand the issues of sharing knowledge in an organisational context and in a scientific community;
4 - To gain an overview of the different types of knowledge modelling methods and how they may be used together;
5 - To be able to select the appropriate modelling method(s) given certain circumstances;
6 - To be able to construct correct models given a domain;
7 - To be able to carry out reasoning on models based on lightweight logical methods; |
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.
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 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 2010 The University of Edinburgh -
1 September 2010 6:10 am
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