The student

• can explain the general idea behind ML, as well as specific algorithms that are being used in real world scenarios
• can use ML methodology for research and industrial settings using current trend of ML software libraries
• can implement and apply ML methods to any chosen game
• can perform experiments in ML using real-world game scenario
• is capable of confidently applying common ML algorithms in practice and implementing their own algorithm
• can program autonomous movement of avatars
• can read and understand scientific publications on ML/AI and formulate current issues, choice of methods, and results in a short, concise manner
• capable of producing games where the avatar navigates around and performs actions based on waypoint, behaviour tree
• can design game to have the avatar to learn about the playing scenario based on genetic algorithm and artificial neural network