Fundamentals of Artificial Intelligence (VS1) (P01364)

? Credit Points : 10 ? SCQF Level : 9 ? Acronym : INF-P-FAI-V

The aim of this module is to introduce new MSc students, regardless of background, to some fundamental ideas and methodologies of AI; to give them a common level of competence in some of the important fundamental formal concepts and methods; and to look in more detail at issues in Knowledge Representation.

Entry Requirements

? This course is only available to part year visiting students.

? This course is a variant of the following course : P00856

? Pre-requisites : For Informatics PG students only, or by special permission of the School. This course is only available to part-year visiting students who are only in Edinburgh for Semester 1.

Subject Areas

Home subject area

Knowledge Representation and Reasoning, (School of Informatics, Schedule O)

Delivery Information

? Normal year taken : Postgraduate

? Delivery Period : Semester 1 (Blocks 1-2)

? Contact Teaching Time : 2 hour(s) per week for 10 weeks

First Class Information

Date	Start	End	Room	Area	Additional Information
20/09/2007	14:00	14:50			Room 4.12, Appleton Tower

All of the following classes

Type	Day	Start	End	Area
Lecture	Monday	14:00	14:50	Central
Lecture	Thursday	14:00	14:50	Central

Summary of Intended Learning Outcomes

Students who successfully complete the course will be able to give an overview of the fundamental concepts and techniques within AI in general and Knowledge Representation in particular. They should be able to explain the notion and role of rational agent and various agent architectures in modelling intelligent behaviour. They should be able to use, and to contrast, standard problem-solving techniques. They should understand the use of logical calculi for representation and inference, and explain and use associated search techniques.