Download Lecture hours Lab hours (per student) Tutorial hours (per student

School of Computer Science and Statistics
Integrated Computer Science Programme
ECTS Module Descriptor 2012-13
Module Code
CS4061a
Module Title
Artificial Intelligence IIa
Pre-requisites
Programming competence (e.g. CS 3011)
ECTS
5 ECTS
Chief Examiner
Tim Fernando
Teaching Staff
Tim Fernando
Delivery
Lecture hours
Lab hours
(per student)
Tutorial hours
(per student)
Total
22
10
11
43
Comments: Attendance at all lectures, labs and tutorials is compulsory.
Aims
An in-depth initiation into some topics in AI
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
Syllabus
Knowledge Representation, Description Logics,
Finite-state methods, Reasoning about change
Assessment
Exam (90%) and coursework (10%)
Bibliography
Knowledge Representation and Reasoning, by Ronald Brachman and Hector
Levesque (Elsevier, 2004)
+ course notes to be handed out in class
Website
Www.cs.tcd.ie/Tim.Fernando/4AI/