By the end of the module students should be able to:
 formulate, manipulate and solve simple equations and represent relationships using linear and nonlinear models.
 understand logarithms, and solve exponent and quadratic functions
 use compound interest and discounting techniques to calculate future values and present values.
 understand gradients of curves; use differentiation to calculate the gradients of standard functions; find maximum and minimum points on curves.
 calculate and interpret measures of central tendency and dispersion using spreadsheet functions as appropriate
 understand basic probability theory, and apply discrete and continuous probability distributions
 apply sampling theory to estimation, and to parametric and nonparametric hypothesis testing.
 explore the association between two variables through the use of variance, covariance and correlation analysis.
