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Module Descriptor School of Computer Science and Statistics

Module CodeCS4060
Module NameKnowledge Representation and Automata
Module Short TitleKR & Automata
Semester TaughtSemester 2 (Hilary)
Contact Hours

43 hours (22 lecture, 10 lab, 11 tutorial)

Module PersonnelTim Fernando
Learning Outcomes

On successful completion of this module, students should be able to:
• Use description logics to express simple ontological constraints
• Apply finite-state methods to basic natural language processing tasks
• Evaluate the effectiveness of different approaches to reasoning about change in simple domains
• Understand the computational possibilities opened up by automata-theoretic approaches to reasoning

Learning Aims

An in-depth initiation into some topics in Knowledge Representation and Automata

Module Content

Knowledge Representation, Description Logics,
Finite-state methods, Reasoning about change

Recommended Reading List

Knowledge Representation and Reasoning, by Ronald Brachman and Hector Levesque (Elsevier, 2004)
+ course notes to be handed out in class

Module Prerequisites

Programming competence (e.g. CS 3011)

Assessment Details

Exam (90%) and coursework (10%)
2 hour examination

Module Website
Academic Year of Data2017/18