Home > College of Arts and Sciences > Biology > Undergraduate Curriculum > Mathematics Descriptions

Mathematics (MATH)  

MATH 1112 Trigonometry (3-0-3)

     
  • Prerequisite: MATH 1111 or equivalent. Circular, trigonometric, and inverse functions, mathematical induction, the binomial theorem, and complex numbers. 
MATH 1113 Precalculus (3-0-3)
     
  • Prerequisite: Either MATH 1112 or both a Mathematics SAT score greater than 549 and a strong background in high school mathematics including the equivalent of MATH 1112. Study of polynomial, rational, and transcendental functions and applications, conic sections, polar coordinates, parametric equations, and mathematical induction.
MATH 1113H Honors Precalculus (3-0-3)
     
  • Prerequisite: Either MATH 1112 or both a mathematics SAT score greater than 549 and a strong background in high school mathematics including the equivalent of MATH 1112. Study of polynomial, rational, and transcendental functions and applications, conic sections, polar coordinates, parametric equations, and mathematical induction. Focus on concepts and real-world applications.
MATH 2261 Analytic Geometry and Calculus I (4-0-4)
     
  • Prerequisite: MATH 1112 or preferably MATH 1113. Introduction to limits, derivatives, integration, fundamental theorem of calculus, and applications. 
MATH 2262 Analytic Geometry and Calculus II (4-0-4)
     
  • Prerequisite: MATH 2261. Integrals; exponential, logarithmic, trigonometric, and inverse functions; applications of calculus; parametric equations; polar coordinates; sequences and series. 
MATH 2263 Analytic Geometry and Calculus III (4-0-4)
     
  • Prerequisite: MATH 2262. Three-dimensional analytic geometry; functions of several variables; partial derivatives; multiple integrals, line and surface integrals.
MATH 2620 Statistical Methods (3-0-3)
     
  • Prerequisite: MATH 1111 or MATH 1101. An introductory course in statistics. Topics include descriptive statistics; basic notions of probability, random variables, probability distributions, simple random sampling, and sampling distributions; confidence intervals and hypothesis tests; and regression. The application of statistical methodology and the use of computer software are emphasized.