We designed a variation of ConnectFour game for students to understand the scope of adversarial and stochastic games.
Throughout this assignment, students will implement alpha-beta pruning and expectimax search algorithms and are provided with a GUI to test the performance of their algorithms.

adversarial games
stochastic games
minimax algorithm
expectimax algorithm

The target audience of this assignment is undergraduate computer science/engineering students taking artificial intelligence course.
The prerequisites for the course include programming (in Java and/or Python), data structures, algorithms, and probabilities and statistics courses.

This assignment is easily adoptable by instructors and is implemented in a modular structure.
Instructors will have the flexibility of assigning any of the two modules in the assignment (AIPlayer playing against a RandomPlayer (stochastic agent) or a HumanPlayer (adversary agent)).
The assignment also provides the structure that can be modified by instructors to work with any other board game.