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School of Engineering and Informatics (for staff and students)

Knowledge & Reasoning (G6019)

Knowledge & Reasoning

Module G6019

Module details for 2021/22.

15 credits

FHEQ Level 6

Module Outline

This module introduces important methods and techniques for knowledge representation and reasoning in the context of the scientific discourse about knowledge and machine intelligence in AI. Students will engage with such methods and techniques both in theory and in practice, by creating solutions to different AI problems and implementing these solutions in software.

Module learning outcomes

Discuss theories of knowledge and related developments in Artificial Intelligence in the context of the historic development of the field.

Demonstrate knowledge of several established knowledge representation and reasoning methods such as sentential logic, semantic networks, ontologies, fuzzy systems, and Bayesian networks.

Demonstrate knowledge of the function of computational techniques that are used in common applications of Artificial Intelligence such as automated reasoning, problem-solving, game-playing, or route-finding.

Adapt and implement standard computational techniques in a computer program by developing a solution for a given problem of substantial complexity.

TypeTimingWeighting
Multiple Choice questionsSemester 1 Assessment100.00%
Timing

Submission deadlines may vary for different types of assignment/groups of students.

Weighting

Coursework components (if listed) total 100% of the overall coursework weighting value.

TermMethodDurationWeek pattern
Autumn SemesterLecture1 hour22222222222
Autumn SemesterLaboratory1 hour11111111110

How to read the week pattern

The numbers indicate the weeks of the term and how many events take place each week.

Dr Ronald Grau

Assess convenor
/profiles/171861

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School of Engineering and Informatics (for staff and students)

School Office:
School of Engineering and Informatics, СÀ¶ÊÓƵ, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ
ei@sussex.ac.uk
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