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Research

In addition to my textbooks, the most recent of which is Mathematics for the Management, Life and Social Sciences, with John Costello and Spenser Gowdy (McGraw Hill, Inc., 1997), I am involved in research in improving instruction in the undergraduate mathematics curriculum. My most recent articles appear in Primus and in monographs published by the Mathematics Association of America, MAA Notes; for example, the MAA Notes: Assessment in Mathematics. A general repository Math Archives contains several of my works appearing in national and international proceedings of conferences.

My latest book, Interactive Calculus with Applications (2005, Brooks/Cole)), was completed with Dr. Jean Marie McDill, California Polytechnic State University, Department of Mathematics. Hubert Hohn, Massachusetts College of Art, produced the software for the project in conjunction with Jean Marie McDill, John Cantwell, Richard Wilmore and me. This research was supported, in part, by the National Science Foundation. You may view sample screen shots of the tools by connecting to Jean Marie McDill's web page. A partial listing of the contents appears below.


My current project is to develop new interactive probabilistic models. I plan to develop interactive computer tools and a monograph on models of probabilistic phenomena using theoretical probability. During the summer, I began to develop the design for the tools, layout story boards, and introductory sample models. Probability is a powerful theory whose applications are ever expanding. The concepts of probabilistic models and statistical inference are central ideas and essential tools in science, social science, business and economics. The main goals of the reform movement in mathematics include making theoretical mathematics more conceptual, to involve the reader more fully in problem solving, conjecturing and analyzing, and to take advantage of modern technology in both content and pedagogy. Some basic probabilistic models, such Poisson processes and bivariate normal distributions, become more readily accessible if one has a visual image of the concept. Concepts, not techniques, are central to any mathematical process. Computer algebra systems (CAS) now replace hand calculations. Computer graphics facilitate illustrating the central features of a model, and can foster visualization, understanding, and experimentation. Combining symbolic manipulation, concept development, and a graphical viewpoint can be very time-consuming without the use of technology.



List of Available Kits
Function Kit Asymptotes, Families, The Modeler, Compound Interest
Derivative Kit Tangent Line Slopes, Tangent Line Zoom, Definition of the Derivative, Inverse Functions, Concavity
Economic Kit Cost Curves, Cost, Revenue and Profit, Price Elasticity of Demand, Inventory Costs, Supply and Demand Dynamics
Geometric Optimization Kit Optimal Volume from a Square, Optimal Volume with Postal Constraints
Integration Kit Accumulation, Numerical Integration and Riemann Sums, Definite Integral, Lorentz and GINI Indices, Surplus
Diferential Equations Kit Exponential Growth, Growth of an Annuity, Limited Growth, Logistic Growth, Gompertz Growth, Allee Effect, Exponential Growth (Moore's Law) , Limited Growth (Movie Revenue), Logistic Growth (World Population)
Functions of Two Variables Kit Partial Derivatives, Level Curves (Cobb Douglas), Level Curves (Parabolic Hill), Level Curves (Parabolic Dale)
Series Kit Maclaurin Surge Function, nth Taylor Polynomial
Linear Regression Kit Motor Vehicle Productivity (Linear), National Health Expenditures %GNP (Linear), Direct Mail Expenditures (Linear), National Health Expenditures (Exponential)
Partial Derivative Kit Partial Derivatives, Level Curves, Constraints (Linear and nonlinear),

No. Laboratory Explorations Instructor Notes
1 Asymptotes Lab Asymptotes Notes
2 Families of Funtions Lab Families of Functions Notes
3 From Data to Models Lab From Data To Models Notes
4 Compound Interest Lab Compound Interest Notes
5 Tangents and Slopes Lab Tangents and Slopes Notes
6 Definition of Derivative Lab  
7 Inverse Functions Lab Inverse Functions Notes
8 Concavity Lab Concavity Notes
9 Optimizing Costs Lab  
10 Optimizing Revenue and Profits (including Elasticity of Demand) Lab  
11 Taxes and the Optimization of Profit Lab  
12 Optimization Examples Lab  
13 Inventory Costs Lab  
14 Accumulation Lab  
15 Definite Integral Lab Definite Integral Notes
16 Numerical Integration Lab Numerical Integration Notes
17 Consumers and Producers Surplus Lab Surplus Notes
18 Linear Regression Lab Linear Regression Notes
19 Partial Derivatives Lab  
20 Taylor Polynomials Lab Taylor Polynomials Notes