Analytical Techniques for Business and IT C

First year module

Lecturer: David Houlcroft

Sampling theory; estimation and hypothesis testing; correlation and simple regression. Calculus review: differentiation; functions of several variables; constrained optimisation; review - Integration; exponential and logarithmic functions; matrices; mathematics of finance; mathematics by computer with Derive. Wordprocessing (Word), spreadsheets (Excel) and databases (Access) with MS Office.

Learning Outcomes

By the end of the module the student should be able to: use, evaluate, understand and interpret fundamental techniques of data description and statistical inference; understand a range of functions and appropriate calculus methods and their applications; recognise quantitative methods relevant to the analysis of managerial, economic and financial problems; relate the methods used to other components of the degree programme; make productive use of information technology in academic and business contexts.

Assessment

  • 3 hr examination, coursework assignments