THE UNIVERSITY
OF BIRMINGHAM		Computer Science

MODULE DESCRIPTION, 2004/05

06-18184
AI & Cognitive Science

This School of Computer Science Module Description is a strict subset of the Syllabus Page, which gives more information.

Course Code06-18184
TitleAI & Cognitive Science
CodeCOMP/06-18184/L1
School/DepartmentComputer Science
Member of StaffDr W H Edmondson
Level1/C
Credits30
Semester1+2
RestrictionsNone
Pre-requisitesNone
Co-requisites06-18188 Introduction to AI, 06-18185 AI Programming
Contact hoursApproximately 81
Delivery3 hrs/week of lectures and exercise classes in Semester 1, 4 hrs/week in Semester 2
DescriptionThis module provides a general introduction to Artificial Intelligence and Cognitive Science, including an introduction to each of their main subfields. The focus of the module is on AI as a science of intelligence.
Outcomes
On successful completion of this module, the student should be able to:Assessed by:
describe the ideas, issues, problems and techniques in some of the main subfields of Artificial Intelligence and Cognitive Science, including Cognitive Psychology, Search, Rule Based Systems, Logic, Reasoning, Vision, Robotics, Natural Language Processing and Adaptive Computation;Continuous assessment, examination
identify and describe some basic structures and mechanisms forming the biological basis of intelligent behaviour;Continuous assessment, examination
explain and discuss some computational models in Cognitive Science;Continuous assessment, examination
discuss the philosophical issues arising from such computational models;Continuous assessment, examination
explain the most important knowledge representation formalisms and why they are needed, discussing their advantages and disadvantages;Continuous assessment, examination
apply these knowledge representation formalisms to example problems;Continuous assessment, examination
employ the first order predicate calculus as a formalism for representation and reasoning;Continuous assessment, examination
describe the uses and limitations of logic in AI and discuss alternatives;Continuous assessment, examination
describe, analyse and critically discuss a variety of AI techniques and apply them to example problems;Continuous assessment, examination
provide examples of AI systems and applications, and explain common techniques, differences and limitations;Continuous assessment, examination
explain and apply simple experimental techniques to AI and Cognitive Science problems.Continuous assessment, examination
Assessment2 hr examination (60%), continuous assessment (40%). Resit by examination only.
Other-
TextsS Russell & P Norvig, Artificial Intelligence: A Modern Approach (2nd edn), Prentice Hall, 2003.
N J Nilsson, Artificial Intelligence: A New Synthesis, Morgan Kaufmann, 1998.
Rob Callan, Artificial Intelligence, Palgrave Macmillan, 2003.
Page maintained by:Dr P Coxhead
Content last updated:5 Nov 2004
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