Gilbert G. Walter TEACHING EXPERIENCE 1962-2002 ELEMENTARY COURSES: College Algebra, Trigonometry, Calculus I, II, III, Finite Mathematics, Elementary Statistics, Math for Elementary School teachers, Math of Finance. UPPER LEVEL UNDERGRADUATE COURSES: Linear Algebra and Differential Equations, Theoretical Mechanics, Intro to Differential Equations, Vector Analysis, Intro to Partial DE, Math Models and Applications (Introduced this course), Modern Algebra, Advanced Calculus, Linear Algebra, Advanced Engineering Mathematics I, II, Intro to Mathematical Statistics, Regression Analysis, Time Series Analysis, Multivariate Statistical Analysis. GRADUATE COURSES: Mathematical Methods in Physics and Engineering, Intro to Functional Analysis, Topics in Applied Mathematics, Special functions, Integral Transforms and their applications, Functional Analysis, Fourier Analysis, Mathematical Statistics. PhD DISSERTATIONS DIRECTED: Robert Walker, "Analytic representations, values, and recoverability of distributions" 1974. Ahmed I. Zayed, "Generalized functions and boundary value problems" 1979. Sridharma Selvaratnam, "Shannon-Whittaker sampling Theorems" 1987. Robert J. Kreczner, "Generalized Cardinal Series" 1988. Bruce O'Neill, "Applications of function theory to interpolation of the differential operator and to distributional solutions of dilations equations" 1991. Julie Letellier, " Orthogonal polynomials in statistical estimation" 1991 Youming Liu, "Wavelets and sampling theorems" 1993 Hong-tae Shim, "On Gibbs' phenomenon in wavelet subspaces and summability" 1994. Dane Wu, "Probability density estimation with wavelets" 1994. Luchuan Cai, "Convergence and properties of wavelets on compact intervals" 1996 Xiaoping Shen, "Wavelet based numerical methods" 1997 Tobias Balser, "New Approximations for avoiding Gibbs' Phenomenon in Wavelet Subspaces" 1998. Tatiana (Golovatcheva) Soleski, "Improved Computerized Tomography through Wavelet series" 2002 CURRENT TEACHING ACTIVITIES: Fall 2002: Math 405, Mathematical models in life and social sciences Deals with graph theory, Markov chains, and compartmental models as used in ecosystem modelling, in economics, in beer making. Easy (mostly) and fun stuff. But you need to know what a derivative is.