faculty
Andrew Phillips
Assistant Teaching Professor
Mathematics
Contact
508-910-6845
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Spruce Hall 0174
Teaching
Courses
Introduction to study in the disciplines of the College of Arts & Sciences. This course facilitates a successful transition to college life by engaging students in a structured curriculum of academic and life skills enhancement and encouraging the development of enduring relationships between students, faculty and advisors, and classmates.
An intensive study of advanced algebra and trigonometry. Topics include: linear, quadratic, polynomial, rational, exponential, logarithmic and trigonometric functions, modeling and graphing these functions, and the effects of affine transformations on the graphs of functions. This course prepares students for the study of Calculus I (MTH 151 or MTH 153), which is required for majors in Mathematics, Physics, Chemistry, Engineering and Mathematical/Computational Biology.
An intensive study of differential calculus and its applications, and an introduction to integrals, Topics include: limits, continuity, indeterminate forms, differentiation and integration of algebraic and transcendental functions, implicit and logarithmic differentiation, and applications to science and engineering. This is the first semester of the standard calculus sequence designed for students interested in Mathematics, Physics, Chemistry, Engineering and Mathematical/Computational Biology.
An introduction to mathematical reasoning, mathematical logic, and methods of proof. Topics include: properties of numbers, elementary counting methods, discrete structures, Boolean algebra, introduction to directed and undirected graphs, methods of proof, and applications in mathematics and computer science. This is the first semester of a discrete mathematics sequence designed for Mathematics, Computer and Information Sciences majors.
A study of mathematical foundations for advanced mathematics and theoretical computer science. Topics include: mathematical reasoning including mathematical induction, combinatorial analysis including simple probability, discrete structures (such as sets, recursions, relations, and trees), algorithmic thinking, applications, and modeling (such as combinatorial circuits). This is the second semester of a discrete mathematics sequence designed for Mathematics and Computer Information Sciences majors.