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Artificial Intelligence
OVERVIEW
CEA CAPA Partner Institution: Goldsmiths, University of London
Location: London, England
Primary Subject Area: Computer Sciences
Instruction in: English
Course Code: IS53024S
Transcript Source: TBD
Course Details: Level 400
Recommended Semester Credits: 4
Prerequisites: Programming modules and at least an introductory maths module
DESCRIPTION
The module introduces the essential principles of artificial intelligence as part of computer science. The emphasis is on heuristic problem solving methods. Material includes the following topics: heuristic search techniques, knowledge representation, rule-based systems for deductive problem solving, search-based planning, and inductive machine learning.
The covered heuristic techniques are: depth-first search, breath-first search, iterative deepening, bi-directional search, hill climbing, and adversarial search.
There are guidelines provided for implementing practical expert systems, planning systems and empirical learning systems with version spaces using the candidate elimination algorithm.
The covered heuristic techniques are: depth-first search, breath-first search, iterative deepening, bi-directional search, hill climbing, and adversarial search.
There are guidelines provided for implementing practical expert systems, planning systems and empirical learning systems with version spaces using the candidate elimination algorithm.
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