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CS551J: KNOWLEDGE REPRESENTATION AND REASONING (2020-2021)

Last modified: 05 Aug 2021 13:04


Course Overview

Recent advances in AI have changed the perception of what machines can do, from on-line search to answering questions. An underlying feature of many AI systems concern how knowledge is acquired, represented, and reasoned with. Companies such as Google, IBM, and Facebook have been developing sophisticated tools for knowledge representation and reasoning. This module provides the theory and practice of knowledge representation and reasoning, also presenting cutting-edge technologies, libraries and tools. At the end of the course students will be able to design, implement and evaluate knowledge-intensive AI systems.

Course Details

Study Type Postgraduate Level 5
Session Second Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Professor George M. Coghill
  • Dr Mingjun Zhong

What courses & programmes must have been taken before this course?

  • Any Postgraduate Programme

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

The course will present the theory and practice of Knowledge Representation and Reasoning. An underlying feature of many AI systems concern how knowledge is represented and the mechanisms to reason with and about this knowledge. Students attending this course are expected to acquire a good understanding of the logical foundations and applications of Knowledge Representation and Reasoning, as well as to become familiar with current bottlenecks and related solutions in the field, including the problem of construction of formal knowledge bases from informal ones (such as those written in natural language). There will be an emphasis on representation and reasoning which is practical and efficient, exploring and incorporating recent technologies as well as working hands-on with state-of-the-practice in knowledge representation and reasoning technologies to build AI systems (e.g., solutions for question-answering, reasoning, Semantic Web, Internet of Things and Big Data).


In light of Covid-19 this information is indicative and may be subject to change.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

  • 4 Practicals during University weeks 28 - 30

More Information about Week Numbers


In light of Covid-19 and the move to blended learning delivery the assessment information advertised for second half-session courses may be subject to change. All updates for second-half session courses will be actioned in advance of the second half-session teaching starting. Please check back regularly for updates.

Summative Assessments

Project Report/Dissertation

Assessment Type Summative Weighting 50
Assessment Weeks Feedback Weeks

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Class Test

Assessment Type Summative Weighting 50
Assessment Weeks Feedback Weeks

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Formative Assessment

There are no assessments for this course.

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
FactualRememberILO’s for this course are available in the course guide.

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