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 Chi-square.
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 real-world 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

 

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