Lectures:

• Lecture 00 - Course Information
• Lecture 01 - Introduction to Artificial Intelligence
• Lecture 02 - Pathfinding
• Lecture 03 - Finite State Machines
• Lecture 04 - Automated Planning
• Lecture 05 - Randomness and Probability
• Lecture 06 - Sensor Systems
• Lecture 07 - Steering Behaviors
• Lecture 08 - Behavior Trees
• Lecture 09 - Machine Learning

Program:

• What is Artificial Intelligence;
• Pathfinding (Djikstra and A* Pathfinding Algorithms);
• Finite State Machines;
• Automated Planning;
• Randomness and Probability;
• Sensor Systems;
• Steering Behaviours for Autonomous Agents;
• Behaviour Trees;
• Machine Learning.

References:

Buckland, M. (2004). Programming Game AI by Example. Jones & Bartlett Learning. ISBN: 978-1-55622-078-4.

Millington, I., Funge, J. (2009). Artificial Intelligence for Games (2nd ed.). CRC Press. ISBN: 978-0123747310.

Russell, S. and Norvig, P. (2009). Artificial Intelligence: A Modern Approach (3rd ed.). Prentice-Hall. ISBN: 0-13-604259-7.

Palacios, J. (2016). Unity 5.x Game AI Programming Cookbook. Packt Publishing Ltd. ISBN: 978-1-78355-358-7.