1. This lecture covers the outline of the module, some example applications of AI, and the peer instruction approach we're going to take to learning
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    These videos are recordings of lectures from the module Introduction to AI run by The School of Computer Science at the University of Birmingham, UK.
    More information at: http://cs.bham.ac.uk/internal/courses/intro-ai

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  2. In this lecture we take our first look at formulating problems as search problems, and cover the fundamental elements of search problems: states and actions.
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    These videos are recordings of lectures from the module Introduction to AI run by The School of Computer Science at the University of Birmingham, UK.
    More information at: http://cs.bham.ac.uk/internal/courses/intro-ai

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  3. In this lecture we cover tree and graph search, breadth first search and uniform cost search.

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    These videos are recordings of lectures from the module Introduction to AI run by The School of Computer Science at the University of Birmingham, UK.
    More information at: http://cs.bham.ac.uk/internal/courses/intro-ai

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  4. In this lecture we cover depth first search and iterative deepening, and look at completeness, optimality, and space and time complexity.
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    These videos are recordings of lectures from the module Introduction to AI run by The School of Computer Science at the University of Birmingham, UK.
    More information at: http://cs.bham.ac.uk/internal/courses/intro-ai

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  5. In this lecture we look at informed search, heuristics, greedy search and A* search.
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    These videos are recordings of lectures from the module Introduction to AI run by The School of Computer Science at the University of Birmingham, UK.
    More information at: http://cs.bham.ac.uk/internal/courses/intro-ai

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Intro to AI 2012/13

Nick Hawes

Content from the Intro to AI module run by Nick Hawes in the School of Computer Science at the University of Birmingham. For more information see http://www.cs.bham.ac.uk/internal/courses/intro-ai/

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