Produce Puzzle

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Contents

Status: Ported to Fortune Engine, Stalled
Ported to Fortune Engine, Stalled
Group Members: Abbi Honeycutt, Kennedy Kong
The object of the game is to solve a system of equations with unknowns represented by fruits. The player is given the column sums and row sums, and from there he must determine the value of each fruit. The game difficulty can be changed, and it ranges from solving 3x3 fruit equations, all the way up to 9x9 fruit grids.

Description

Produce Puzzle is a game created by Matthew Michihara, Elizabeth Deng, and Aaron Macris with the python programming language using the pyGTK and pygames libraries. It was created as an educational game during the University of Southern California's "Code for a cause OLPC Hack-a-thon" targeting users in 3rd world countries. The object of the game is to solve a system of equations with unknowns represented by fruits. The player is given the column sums and row sums, and from there he must determine the value of each fruit. The game difficulty can be changed, and it ranges from solving 3x3 fruit equations, all the way up to 9x9 fruit grids.

During the Summer of 2010 a Fortune Engine version of the game was created. It has different functionality and is intended to show how to solve systems of equations.

Standards

Possibly fulfills standards:

Lesson Plan

OLPC_lesson_plan.doc

Group Members

Fortune Engine Version:

Compatability Issues

Playability Issues

Wishlist

Completed Goals

Links

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