Learning Outcomes:
• Students should be able to understand the basic concepts and principles of artificial intelligence and its corresponding processing algorithms.
• Be able to analysis and design A* search algorithm in a graph or ANDOR graph.
• Be able to propose question-answering system by using resolution methods and tautology.
Indicative Module Content:
Week Topic
1-2 Introduction to Intelligent Information Processing and Artificial Intelligent
3-8 Intelligent Information Search Methodologies and Algorithms
9-13 Logical Reasoning: Rules and Applications
14-15 Introduction to Knowledge Engineering
16 Revision