Knowledge & Reasoning (G6019)
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Knowledge & Reasoning
Module G6019
Module details for 2024/25.
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.
| Type | Timing | Weighting |
|---|---|---|
| Multiple Choice questions | Semester 1 Assessment | 100.00% |
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.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Autumn Semester | Lecture | 1 hour | 22222222222 |
| Autumn Semester | Laboratory | 1 hour | 01111111111 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
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