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Computer Science (Human Computer Interaction) BSc (Hons) - COMP24011 Introduction to AI
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2.1.1 Knowledge and understanding of facts, concepts, principles & theories
Students are given lectures and assigned reading on the theoretical basis of a range of commonly-used techniques in AI.
Assesement : Examination, Lab work
Assesement : Examination, Lab work
2.1.5 Deploy theory in design, implementation and evaluation of systems
Students are required to solve practical problems in four laboratory exercises: natural language inference, game-playing, fuzzy logic and vehicle odometry.
Assesement : Lab work
Assesement : Lab work
2.3.2 Development of general transferable skills
Students are shown by a series of examples how to develop theoretical solutions to practical problems in AI, and how to transform those solutions into practical implementations.
Assesement : Examination, Lab work
Assesement : Examination, Lab work
3.1.4 Knowledge and understanding of mathematical and/or statistical principles
Material and exercises on automated diagnosis and vehicle odeometry develop knowledge and understanding of probabilitistic reasoning. Material and exercises on natural language inference and planning develop knowledge and understanding of the application of logic in reasoning.
Assesement : Examination, Lab work
Assesement : Examination, Lab work
4.1.2 Knowledge and understanding of mathematical principles
Material and exercises on automated diagnosis and vehicle odeometry develop knowledge and understanding of probabilitistic reasoning. Material and exercises on natural language inference and planning develop knowledge and understanding of the application of logic in reasoning.
Assesement : Examination, Lab work
Assesement : Examination, Lab work