Learning Outcomes and Evaluation

Learning Outcomes

• Demonstrate understanding of common knowledge representation mechanisms.
• Demonstrate understanding of common machine learning mechanisms.
• Ability to implement knowledge bases in common knowledge representation formats.
• Ability to implement machine learning algorithms for particular applications.
• Ability to use common AI development techniques and languages.

Evaluation

• 25% Coursework 1: travelling salesman problem
• 35% Coursework 2: digit categorisation
• 40% Coursework 3: pandemic game

Books and Resources

• Artificial Intelligence a Modern Approach, Russell and Norvig (3rd Ed.)
• Knowledge Representation and Reasoning, Brachman and Levesque