Mathematics and Computation

Computational Thinking & Programming

  • Introduction to the fundamental concepts and processes of solving computational problems through the design, implementation, testing, and evaluation of computer programs
  • Concepts:iteration, conditionals, functions, recursion, data types

Applied Calculus for the Life Sciences

  • Differential and integral calculus for functions in several variables and curves, systems of ordinary differential equations, series approximation of functions, continuous probability
  • Applications directed primarily to the life sciences

Calculus with Analytic Geometry

  • Topics: derivatives and rate of change, related rates, linearization, optimization, graphing techniques, Fundamental Theorem of Calculus, integration
  • Trigonometric functions are included in every topic

Intro Financial Accounting

  • Introduction to financial accounting and methods used to record and report financial information to decision makers external to the firm.
  • Use and limitations of financial reports

Statistics

(No formal course taken, received credit by examination for corresponding course; see also Spatial Analysis)

  • Descriptive statistics, frequency distributions, probability, binomial and normal distributions, statistical inference, correlation, simple and multiple linear regression, logistic regression, analysis of variance (ANOVA), and factorial designs
  • Hypothesis tests utilizing p-values, t-values, f-scores, and chi-square.