Foundations of Artificial Intelligence

Module overview

This course introduces the fundamental concepts and techniques of artificial intelligence (AI) . This unit aims to give a broad introduction to the rapidly-developing field of AI covering a range of approaches (modern, classical, symbolic, and statistical). This should prepare students for specialist options in semester 2. - Classical and modern approaches to AI - The principal achievements and shortcomings of AI. - The main techniques that have been used in AI, and their range of applicability - The philosophical basis of AI - Challenges for the future of AI

Learning and Teaching

Study time
Type	Hours
Preparation for scheduled sessions	18
Revision	25
Lecture	36
Wider reading or practice	53
Follow-up work	18
Total study time	150

Resources & Reading list

Textbooks

Russell, S and Norvig, P (2003). Artificial Intelligence: A Modern Approach. Prentice Hall.

Assessment

Summative

This is how we’ll formally assess what you have learned in this module.

Breakdown
Method	Percentage contribution
Final Assessment	100%

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

Breakdown
Method	Percentage contribution
Set Task	100%

Repeat

An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.

Breakdown
Method	Percentage contribution
Set Task	100%

Repeat Information

Repeat type: Internal & External

Module overview

Aims and Objectives

Learning Outcomes

Knowledge and Understanding

Subject Specific Intellectual and Research Skills

Syllabus