Mark Weirman, Ph. D.
Concept Sketch Design
T/TH 12:30 - 1:45pm - HCCA 205
Digital & Web Foundations
T/TH 9 - 10:45am - HCCA 204
M/W 2 - 3:45pm - HCCA 205
Object Oriented Programming
T/TH 2 - 3:45pm - HCCA 204
M 4 - 7pm - EP 110
M/W 12:30 - 1:45pm - EP 110
Most of the classes I teach fall into three groups. The first is Application Development for various platforms, including IOS and the Web. The second is the Theory of Computing and logic in general. Finally, I teach classes that support my research efforts in the Theory of Uncertainty..
He has been an Instructor at SUC Oneonta, done research for Rome Labs, and programmed for IBM. Currently is an Assistant Professor at Creighton University.
BA Mathematics, Purchase College, Purchase NY, 1978.
MA Mathematics, Binghamton University, Binghamton NY, 1980.
PhD Systems Science, Binghamton University, Binghamton NY, 1994.
Much of my research focused on the various models that have been devised to represent systems that contain uncertainty. These theories include: probability, fuzzy sets, possibility, evidence, and rough sets. In 1998, I collaborated on a book, about the properties and applications of measures of information in all of these different theories.
Over the past five years, my research has been focused primarily in two different areas. The first area (in collaboration with William J. Tastle) explores ways to assess consensus, dissent, and agreement, especially in ordinal data (such as the Likert Scale). We have developed measures of dissent and agreement, that have relevant mathematical properties, and applied them in various fields such as student evaluation and risk management.
The second area (in collaboration with John N. Mordeson, Terry C. Clark and a host of students) explores the application of Fuzzy Set Theory to mathematical models in Political Science. We have published a book as well as articles in major journals. We have also formed strong ties with the Society for the Mathematics of Uncertainty.