Gaming Floor Performance Prediction

The purpose of this internship project is to explore the possibility for mathematically modelling casino floors in order to predict floor performance in partnership with SPIELO, a Moncton, NB-based company which designs, manufactures and distributes high-tech gaming products. Such a model could be used to assist floor operators with deciding where to place games. Recent advancements in game machine technology make it possible to change a game provided at a given location on a casino floor by simply downloading software to a physical machine permanently placed at that location. It is current practice for floor operators to collect data about machine performance regularly and switch games based on this data and a set of heuristics acquired through experience. The mathematical model proposed in this project could assist operators with developing optimal floor plans.

Faculty Supervisor:

Dr. Dawn MacIsaac

Student:

Daniel Rogers

Partner:

SPIELO

Discipline:

Engineering

Sector:

Digital media

University:

University of New Brunswick