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= Syllabus 

* Introduction and history.
* Movement:
** kinematic movement,
** steering behaviors,
** combining steering behaviors.
* Search and pathfinding:
** introduction to search algorithms,
** A* data structures and heuristics,
** world representation,
** hierarchical pathfinding.
* Decision making for a single character:
** decision trees,
** state machines,
** behavior trees,
** fuzzy logic,
** Markov systems,
** goal-oriented behavior,
** rule-based systems,
** blackboard architectures,
** action execution.
* Strategy and tactics:
** tactical waypoints,
** tactical analyses,
** tactical pathfinding,
** coordinated action.
* Board games:
** minimaxing,
** transposition tables,
** Monte Carlo search.
* Implementation of AI algorithms in Unity.