The automated game opponent group, including students; David Lin, Amelia Mylvaganam, Sreya Manchiraju, Nathaniel Kalantar (all from Dow High School), Sid Somasi (Carmel High School), and Elliot Moore (Midland High School), studied Python for three weeks and then sought to design an automated opponent that can play a board game against a human player. The strategy game that they are analyzing has a fog of war component. Students also studied Bayesian inference and sought opportunities to incorporate it in their automated opponent to handle uncertainties accompanying hidden movement and game pieces. This approach provides the computer with tools to update probability tables, to optimize its game moves.