David Gurney 

Assistant Professor of Mathematics 

Course Information
The following information concerns courses that Dr. Gurney frequently teaches.
Math 161 College Algebra
Course Description  A study of families of functions and their graphs. The families of functions studied will include linear, quadratic, polynomial, rational, exponnential, and logarithmic. These families of functions will be used to model and solve real world applications. 
Text  Michael Sullivan, College Algebra, 8th edition, Pearson Education, Upper Saddle River, New Jersey 2008 
Supplements  handed out in class. 
Math 241 Elementary Statistics
Course Description  This course will discuss the graphical display of data, measures of central tendency and variability, sampling theory, standard scores, correlation techniques and various probability distributions including the normal, Student t, and Chisquare. 
Text Mario R. Triola, Elementary Statistics, 12th edition, Pearson Education, Inc., Boston, Massachusetts 2014 
Math 350 Applied Differential Equations
Course Description  An introduction to differential equations with an emphasis on coneptual ideas and the use of computer algebra systems in solving realworld application problems. Solutions of differential equaions will be found symbolically, graphically, and numerically. Topics will include liear first order equations, higher order equtions, linear systems of equations, nonlinear systems, and chaos in dynamic systems. 
Text  Nagle, Saff & Snider, Fundamentals of Differential Equations, 8th edition, Pearson Education, Inc. 2012 
Math 380 Applied Statistics with Probability
Description  An introduction to data analysis and the use of computer software packages to organize, summarize and analyze data. Discussion will include the basic rules of probability, commonly used discrete and continuous distributions, random sampling and sampling distributions, regression analysis, parametric estimation, hypothesis testing, and analysis of variance techniques. 
Text  Jay Devore & Nicholas Farnum, Applied Statistics for Engineers and Scientists, 2nd edition, Brooks/Cole, Belmont, CA 2005 