Dr. Vernerey's research interests are mathematical modeling and solving systems of nonlinear reactiondiffusion equations. This work in applied mathematics utilizes her training in mathematical physics, differential equations, asymptotical and perturbation methods, and numerical solutions of partial differential equations. These areas have been the building blocks for her research in the mathematical modeling of frontal polymerization. This area of research opens the door to fascinating studies at the interface between mathematics, physics, chemistry, and biology. One such multidisciplinary topic is combustion theory (exothermic polymerization waves are in many respects similar to combustion waves) and another involves the emerging field of tissue engineering and tissue growth. This later application typically deals with diffusionreaction equations, which can, in some cases lead to the propagation of degradation fronts.
APPM 4120  Introduction to Operations Research
Primary Instructor

Spring 2018
Studies linear and nonlinear programming, the simplex method, duality, sensitivity, transportation and network flow problems, some constrained and unconstrained optimization theory, and the KuhnTucker conditions, as time permits. Same as APPM 5120 and MATH 4120 and MATH 5120.
APPM 4650  Intermediate Numerical Analysis 1
Primary Instructor

Spring 2019
Focuses on numerical solution of nonlinear equations, interpolation, methods in numerical integration, numerical solution of linear systems, and matrix eigenvalue problems. Stresses significant computer applications and software. Department enforced prerequisite: knowledge of a programming language. Same as MATH 4650.
APPM 5120  Introduction to Operations Research
Primary Instructor

Spring 2018
Studies linear and nonlinear programming, the simplex method, duality, sensitivity, transportation and network flow problems, some constrained and unconstrained optimization theory, and the KuhnTucker conditions, as time permits. Department enforced prerequisite: APPM 2130 or MATH 2135 or MATH 2135. Same as APPM 4120 and MATH 4120 and MATH 5120.
MATH 1150  Precalculus Mathematics
Primary Instructor

Spring 2018 / Summer 2018 / Fall 2018
Develops techniques and concepts prerequisite to calculus through the study of trigonometric, exponential, logarithmic, polynomial and other functions. For more information about the math placement referred to in the Enrollment Requirements, please contact your academic advisor. Degree credit not granted for this course and APPM 1235 or MATH 1021.
MATH 1151  Precalculus Supplemental Lab
Secondary Instructor

Spring 2018 / Summer 2018
Provides students concurrently enrolled in MATH 1150 with supplemental instruction.
MATH 1212  Data and Models
Primary Instructor

Spring 2019
Engages students in statistical and algebraic problem solving through modeling data and real world questions taken from the social and life sciences. The course will emphasize these skills and the mathematical background needed for a university level statistics course. Credit not granted for this course and MATH 1011.
MATH 3430  Ordinary Differential Equations
Primary Instructor

Summer 2018 / Fall 2018 / Summer 2019
Involves an elementary systematic introduction to firstorder scalar differential equations, nth order linear differential equations, and ndimensional linear systems of firstorder differential equations. Additional topics are chosen from equations with regular singular points, Laplace transforms, phase plane techniques, basic existence and uniqueness and numerical solutions. Formerly MATH 4430.
MATH 4120  Introduction to Operations Research
Primary Instructor

Spring 2018
Studies linear and nonlinear programming, the simplex method, duality, sensitivity, transportation, and network flow problems, some constrained and unconstrained optimization theory, and the KuhnTucker conditions, as time permits. Same as MATH 5120 and APPM 4120 and APPM 5120.
MATH 4650  Intermediate Numerical Analysis 1
Primary Instructor

Spring 2019
Focuses on numerical solution of nonlinear equations, interpolation, methods in numerical integration, numerical solution of linear systems, and matrix eigenvalue problems. Stresses significant computer applications and software. Department enforced restriction: knowledge of a programming language. Same as APPM 4650.
MATH 5120  Introduction to Operations Research
Primary Instructor

Spring 2018
Studies linear and nonlinear programming, the simplex method, duality, sensitivity, transportation, and network flow problems, some constrained and unconstrained optimization theory, and the KuhnTucker conditions, as time permits. Department enforced prerequisite: MATH 2130 or MATH 2135 or APPM 3310. Instructor consent required for undergraduates. Same as MATH 4120 and APPM 4120 and APPM 5120.