If you've ever argued over the meaning of 'intelligence', this could be the course for you. One of the most interesting cognitive areas of information technology, Artificial Intelligence (AI) aspires to both create computer systems that can be characterised by some intelligence criteria and to investigate what 'intelligence' actually means.
Whether you're a computer scientist, potential AI researcher, mathematician, engineer or simply curious, students on this course will have the opportunity to understand and develop informed opinions on how machines 'learn' and 'reason' about what they know, how they are built, and the philosophical debate surrounding their creation, use and impact on our everyday life.
Through lecture presentations and discussions, we will also consider the history behind AI, its different sub-fields and the problems faced by the AI community, as well as technical problem solving, automated planning, scheduling and learning techniques, game playing and strategising.This course offers a truly intriguing and comprehensive learning experience, balancing historical references, everyday examples and the field's basic theoretical background, backed up with field trips and the chance to see one of the most ground-breaking designs up close.
The course will be delivered mostly in the form of lecture presentations and discussions. Through a balance of historical references, everyday examples and the field's basic theoretical background, we hope you will be intrigued while provided with the best possible teaching experience.
Period
01-07-2013 - 19-07-2013 (3 weeks)
Target group
This topic will be of interest to (future) computer scientists or potential AI researchers, but also to people coming from different disciplines, such as mathematicians, physisicts, and engineers, as AI, and computer science in general, find application in many other fields and disciplines. From a philosophic point of view it should also be of interest to everyone who has at least once engaged in an argument trying to define the meaning of 'intelligence'.
Course aim
By the end of the course you will:
- Develop a keen understanding of the field of Artificial Intelligence.
- Be familiar with learning, reasoning and problem solving techniques.
- Be able to identify and even employ such techniques in everyday life.
- Be able to understand how autonomous artificial entities can be built.In the last session, you may have the opportunity to go on a field trip to Londons Science Museum to attend an exhibition on Alan Turings life and most important ideas.
Additionally, you will have the chance to see up close the Pilot-ACE computer, built to Turings ground-breaking design. The latter is considered to be the most significant surviving Turing artefact in existence, which showcases Turings breadth of talent in a man who is considered to be the father of AI.
Credits
7.5 ECTS credits
Many of our students get credit for the summer courses taken at Kings. You should approach your home university before applying to find out whether they accept our courses for credit. We would recommend a three-week course to be equivalent 4 US credits or 7.5 ECTS, for instance. If you require additional information on any of our courses for faculty pre-approval then please contact the Summer School office
Course fee
GBP 1350: Covers tuition only.
Course leader
Our Summer School tutors are experts in their fields who often do ground-breaking research of their own and love what they do. Teaching in small and medium-sized groups, they are engaging educators who enjoy working with their students, awakening their in
King's College London
Address: Strand, London
Postal code: WC2R 2LS
City: London
Country: United Kingdom
Website: http://www.kcl.ac.uk/summerschool
E-mail: summerschool@kcl.ac.uk
Phone: +44 20 7848 1533
An Introduction to Artificial Intelligence
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Diverse
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2013-02-11, 00:00
autorenew
2025-09-29, 17:01
history_edu
Maria Dumitru