In this workshop, we will demonstrate some laboratory exercises for a computer classroom that have been used successfully in various mathematics classes. Exercises include a heat flow problem from Calculus, a cryptography problem from a Liberal Arts Math course, a population problem from a Modeling course, and a financial problem from a Business Math course. The point of the workshop is not to teach you how to use Excel, but rather to show the kinds of problems you can ask students to do in a laboratory and to demonstrate the kind of support and encouragement you have to give students so that they can be successful with those problems. Participants should already know at least a little about Excel. The workshop will be in a computer laboratory/classroom. Bring a disk.
Ed Sandifer teaches mathematics at Western Connecticut State University,
host of this MAA meeting. He particularly enjoys the history of mathematics,
and has taught himself Latin so that he can read and translate the works
of Leonhard Euler. He is editing the next edition of the MAA's Basic
Library List, the list of 3000 books that the MAA recommends as essential
to an undergraduate library collection. He is also an avid runner,
and has completed the last 26 Boston Marathons.
This talk will focus primarily on the impact that the recently adopted
Connecticut Frameworks in Mathematics, the Connecticut Mastery Tests (CMTs)
and the Connecticut Academic Performance Test (CAPT) are having on the
K - 12 mathematics curricula. Other states in New England have similar
testing programs. We will address as many of the following questions as
time permits. Should mastery certificates affect admissions decisions,
placement testing and/or placement in mathematics courses? Do we
need to reconsider the questions asked on collegiate placement exams? Do
we need to reexamine the course content of developmental courses and college
level mathematics courses ? Are our pre-service teacher mathematics courses
meeting the needs of our prospective teachers? Are these future teachers
prepared for the BEST Program? Are these teachers, once hired, able to
meet the expectations of the Boards of Education that hired them?
Kathy Bavelas has taught mathematics at Manchester Community-Technical
College since 1985. She chaired the Mathematics Department there
from 1989 to 1996 and will co-chair it this year. She has a B.A.
from the University of Connecticut, an M.S. from Central Connecticut State
University, and an M.A.L.S. from Wesleyan University. During her
career, she has also taught at the middle-school level, at the high-school
level, and part-time at Central Connecticut State University. She
is a member of the MAA, NCTM, AMATYC, MATYCONN, ATOMIC, and AWM.
In 1996-97 she was the Distinguished Professor in Residence at the Connecticut
Academy for Education in Mathematics, Science, and Technology. For
the past five years, she has been involved in writing and providing professional
development for the field test teachers for Mathematical Connections,
a secondary core curriculum project.
Many of the texts that are used to teach Liberal Arts math courses have
a chapter on apportionment algorithms. Students could not care less
how Congress is apportioned now, let alone in the 1800s! This talk
will describe an application of apportionment algorithms that was used
in the retail industry. The company that used the algorithm dominated the
market during the 1980's. The algorithms themselves are simple, but
looking at them in a different context is something that students do not
often see. We will look at the problem that needed to be solved and
talk about how the algorithm was modified to solve the problem. We
will also look at extensions of the problem and talk about how you can
encourage students to "think outside the box".
Theresa Sandifer has a Ph.D. in Operations Research from the University
of Massachusetts. She has consulted on a variety of mathematical
modeling and statistics problems. Terry has written two workbooks
for learning statistics using Excel and Minitab and is working on a statistics
textbook that will be published in 1999. She has also been a
judge for the Contest in Mathematical Modeling for the past three years.
Most of our students will be working in business, industry, or government,
not teaching or doing research. What skills and attitudes do they
need to succeed? Which of those skills
can we teach in math classes, especially when the teacher is someone
like me whose entire career has been spent behind ivy covered walls? There
are no rigid prescriptions, but there are plenty of ideas and suggestions.
Some of them could seem a bit subversive. Others may open up rewarding
new classroom experiences. Ultimately, meeting the challenge of preparing
students for nonacademic work can mean better education and better mathematics.
Paul Davis has been a member of the Mathematical Sciences Faculty at Worcester Polytechnic Institute since 1970, when he received his Ph.D. in applied mathematics from Rensselaer Polytechnic Institute. He has worked with various applications of differential equations and, more recently, with optimization problems in electric power networks. Driven by his research interests, by his experience as an industrial consultant, and by his desire to prepare students for a range of careers, his teaching emphasizes modeling, applications, and open-ended problem solving. He is in the last stages of completing a new differential equations text, Differential Equations: Modeling with MATLAB, to be published by Prentice Hall. He is currently Director of WPI's London Project Center.
Saturday, November 21
The majority of inner-city secondary students are denied access to strong secondary school mathematics programs. The problem has technical (pedagogy and content), normative (expectations of students, cultural issues), and resource (strength and strategy of schools themselves) dimensions. Colleges and universities have a key role to play in responding. The concrete model of Boston's new calculus courses will be used to provide examples.
Bob Case was chairman of the Department of Mathematics at St. Anselm
College from 1967-70. In the seventies, he developed and taught graduate
courses in logic at Northeastern University, where he is Associate Professor
of Mathematics. In the eighties, he was involved in calculus reform, and
in the nineties, he is working with high school teachers in Boston, where
state-of-the-art calculus courses have begun in five schools which previously
offered no calculus whatsoever. Dr. Case is this year's teaching
award honoree for the Northeastern Section.
Each Discrete Cosine Transform uses N real basis vectors whose components are cosines. These basis vectors are orthogonal and the transform is extremely useful in image processing. The cosine series is quickly computed by the FFT. But a direct proof of orthogonality, by calculating inner products, does not reveal how natural these cosine vectors are in applications. We prove orthogonality in a different way. Each DCT comes from the eigenvectors of a symmetric "second-difference matrix". By varying the boundary conditions we get the established transforms DCT-1 through DCT-4 (and also four more orthogonal bases of cosines). The boundary condition determines the centering (at a meshpoint or a midpoint) and decides on the entries cos [j or j+0.5] [k or k+0.5] pi/[N or N+...]. Then we discuss bases from filter banks and wavelets. The key is to create a banded block Toeplitz matrix whose inverse is also banded. We will describe how wavelets are created and how they are used in signal and image processing. They are surprisingly interesting.
Gilbert Strang was an undergraduate at MIT and a Rhodes Scholar at Balliol
College, Oxford. His Ph. D. was from UCLA and since then he has taught
at MIT. He has been a Sloan Fellow and a Fairchild Scholar and is
a Fellow of the American Academy of Arts and Sciences. He is
President-Elect of SIAM during 1998 (to take office in 1999-2000).
Professor Strang has published a monograph with George Fix, An Analysis
of the Finite Element Method, and six textbooks: Introduction to
Linear Algebra (1993,1998), Linear Algebra and Its Applications
(1976,1980,1988), Introduction to Applied Mathematics (1986),
Calculus (1991), Wavelets and Filter Banks, with Truong Nguyen
(1996), and Linear Algebra, Geodesy, and GPS, with Kai Borre (1997).
His web home page is http://www-math.mit.edu/~gs
The purpose of this workshop is to get some insight into why wavelets are useful for many practical applications. We demonstrate that wavelet bases have an ability to analyze signals on different scales. Then we connect mathematical properties of wavelet functions such as approximation order, symmetry, orthogonality, and smoothness with the performance of filter banks in signal processing. The MATLAB Wavelet Tool-box will be used to illustrate the talk, and active participation of the audience is expected. Participants may get an introduction to wavelets by attending Gilbert Strang's talk at 10:35 a.m.
Vasily Strela received his M.Sc. degree in applied mathematics from
Moscow Institute of Physics and Technology in 1992 and his Ph.D.
degree in mathematics from Massachusetts Institute of Technology in 1996.
Currently he is with the Department of Mathematics at
Dartmouth College. His interests include theory and applications
of wavelets, signal processing, Toeplitz matrices, and circulant matrices.
David Chris Arney (United States Military Academy at West Point) will discuss the Interdisciplinary Lively Application Projects (ILAPs) written and used by schools in the INTERMATH Consortium, James Hefferon (St. Michael's College) will discuss the internship program at St. Michaels's, and Bogdan Vernescu (Worcester Polytechnic Institute) will discuss WPI's Center for Industrial Mathematics and Statistics (CIMS) and related student projects.
David Chris Arney has an undergraduate degree from the United States
Military Academy (USMA) and a Ph.D. from Rensselaer Polytechnic Institute.
He has taught mathematics at USMA for 17 years and is the author of several
mathematics textbooks and laboratory manuals. Recently, he edited
two books containing applications of mathematics: Interdisciplinary
Lively Application Projects (ILAPs) published by the MAA and Military Mathematical
Modeling. He is the book review editor for the Mathematics and Computer
Education Journal. His areas of research interest include applied
mathematics, numerical analysis, number theory, and history of mathematics.
His teaching interests include using computers, writing, and interdisciplinary
applications in the mathematics curriculum. He has given numerous
workshops on curriculum reform and the use of technology and applications
in teaching and learning mathematics. He is the Head of the Department
of Mathematical Sciences at USMA.
Jim Hefferon earned his undergraduate and graduate degrees at the University
of
Connecticut, finishing with a thesis in Logic. He spent three
years visiting Union College, and a year in industry and at the University
of Connecticut. He's been at Saint Michael's College for eight years
and is an Associate Professor. He has been the coordinator of
mathematics internships there for two years.
Bogdan Vernescu has been a faculty member in the Department of Mathematical
Sciences at Worcester Polytechnic Institute since 1991. He received a Ph.D.
in applied mathematics from the Institute of Mathematics of the Romanian
Academy. His research work is in the field of applied partial differential
equations in continuum mechanics. He has developed and advised several
undergraduate and graduate projects with corporate sponsorship. He established
and is currently the Director of the Center for Industrial Mathematics
and Statistics at WPI. This past summer he organized the first NSF sponsored
Research Experience for Undergraduates Program in Industrial Mathematics
and Statistics at WPI.
Wouldn't it be nice if a baseball fan (or scout or owner) could, by looking at an easily interpretable single number, determine a player's contribution to his team's offense? In this paper, we report on such a statistic, present the relationship between it and team runs scored, and compare the correlation coefficient with that of the more usually used offensive statistics.
Helen Salzberg is a professor of Mathematics and Chair of the Department of Mathematics and Computer Science at Rhode Island College. She received her BA from Brooklyn College, MA from the University of Wisconsin, and did doctoral work at Cornell University. She teaches a wide range of courses, with abstract algebra as her favorite. Baseball is a passion since her childhood with the Brooklyn Dodgers.
Dave Abrahamson received his Ph.D. in Applied Mathematics from Brown
University in 1981 and has taught at Rhode Island College since 1986.
He has been a dedicated fan of baseball, football, and basketball his entire
life. His academic interests include differential and difference
equations, mathematical modelling, and mathematics education.
Lucy Kimball earned her B.S. from the University of Massachusetts Lowell, and her M.S. and Ph.D. in Applied Mathematics from Worcester Polytechnic Institute. Her research interests include optimization problems for large scale electric power systems. She is currently an Assistant Professor at Bentley College in Waltham, MA, and a Project NeXT fellow.