Computational Thinking & Programming
“Introduction to the fundamental concepts and processes of solving computational problems through the design, implementation, testing, and evaluation of computer programs. The concepts include those found in imperative, object-oriented and functional programming such as iteration, conditionals, functions, recursion, and datatypes.
Computational thinking is applying principles of abstraction at multiple levels; using program invariants to describe a system’s behavior succinctly and declaratively; and considering multiple models of computation when designing effective solutions.”
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, exposure to use of calculus in the literature with applications directed primarily to the life sciences.”
Calculus with Analytic Geometry
“Topics include derivatives and their applications to rates of change, related rates, linearization, optimization, and graphing techniques, the Fundamental Theorem of Calculus, and 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.