Module Specifications.
Current Academic Year 2024 - 2025
All Module information is indicative, and this portal is an interim interface pending the full upgrade of Coursebuilder and subsequent integration to the new DCU Student Information System (DCU Key).
As such, this is a point in time view of data which will be refreshed periodically. Some fields/data may not yet be available pending the completion of the full Coursebuilder upgrade and integration project. We will post status updates as they become available. Thank you for your patience and understanding.
Date posted: September 2024
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Description To introduce students to Search-based and other advanced algorithms. To introduce one definition of Artificial Intelligence (AI) as algorithms that search for solutions in a search-space. To address what defines AI as distinct from other parts of Computer Science, and some basic algorithms in search, learning and evolution. To implement these ideas in a competitive internet-based project. | |||||||||||||||||||||||||||||||||||||||||||
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Learning Outcomes 1. identify what type of problems are suitable for an AI approach (search, learning, self-modification of some sort). 2. evaluate the scale / dimensionality / searchspace size of such problems 3. define the search space in such problems 4. evaluate which AI methods are suitable for a given problem 5. logically estimate the division of labour needed between human effort (searchspace definition, pruning, heuristic design) and machine effort (how much of the space the machine will search in the time available) 6. apply some of the techniques covered in the course (search, learning, evolution) 7. code the techniques in the course in the student's preferred programming language 8. test the techniques in an Internet-based system with a massive search space and multiple conflicting goals | |||||||||||||||||||||||||||||||||||||||||||
All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml |
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Indicative Content and Learning Activities
Philosophy of AI.History of AI.Machine Learning.Neural Networks, Back-propagation.Other forms of learning.Machine Evolution.Genetic Algorithms.Other forms of evolution.Summary - Solution spaces, heuristic search, learning and evolution.Architectures of autonomous agents.The World-Wide-Mind (Project). | |||||||||||||||||||||||||||||||||||||||||||
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Indicative Reading List
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Other Resources None | |||||||||||||||||||||||||||||||||||||||||||