Knowledge & Reasoning (G6019)
Knowledge & Reasoning
Module G6019
Module details for 2023/24.
15 credits
FHEQ Level 6
Module learning outcomes
Discuss theories of knowledge, represenation and reasoning in AI in the context of the historic development of the field.
Demonstrate understanding of several knowledge representation and reasoning methods such as classical logic, multi-agent systems, probabilistic reasoning, Bayesian networks, and Markov processes.
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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