CS2Q6: AI Concepts

Module Provider:

Computer Science

Number of credits:

10 [5 ECTS credits]

Level:

I (Intermediate)

Terms in which taught:

Spring

Module Convenor:

Dr CA Gurr

Pre-requisites:

SE1SA5

Co-requisites:

Modules excluded:

Module version for:

2006/7

Aims:
Introduce the key issues and a wide range of methods in efforts to give computer systems the type of abilities associated with human intelligence.

Assessable learning outcomes:
Students will learn artificial intelligence techniques for knowledge representation, reasoning, and problem solving, especially details on search, constraint solving, and decision making using rule bases.

Additional outcomes:
Students will be confident in their ability to apply artificial intelligence techniques to solve a range of problems normally associated with human intelligence.

Outline content:
The history of AI, symbols systems, and knowledge representation
List manipulation, graph structures and trees
Search methods, logical reasoning, and game-playing
Natural language understanding
Cognitive models of intelligence, the representational model of the mind
Computation models of the mind, functionalism
The Chinese Room argument
Historical and ongoing debates on mind, brain and consciousness

Brief description of teaching and learning methods:
Lectures and in-class discussions.

Contact hours:

Assessment:
Coursework
Relative percentage of coursework: 40%
Penalties for late submission:
In accordance with University policy
Examinations:
One 90-minute written examination.
Requirements for a pass:
40%
Reassessment arrangements:
Examination only