In society today identification numbers are often used to encode information pertaining to products, documents, accounts or individuals. Some examples are the UPC,(universal product code), for every item in a grocery store, bank accounts, credit cards, social security numbers, drivers' licenses and much more. Since identification numbers are a convenient way to convey information, they are used to transmit this information millions of times a day. These transactions occur so frequently that errors are bound to occur. In this talk we will discuss some of the methods used so that the receiver of the idetification number can identify the most frequently occuring transmission errors independent of the sender.
This talk is accessible at all levels.
Daniel Clouse is currently a doctoral candidate at Binghamton University with his research focused in Absract Algebra. He received his B.A. and M.A. from Binghamton University in 1993 and 1996, respectively. He is a fellow in the "Preparing Future Faculty" program in the Department of Mathematical Sciences.