May not be offered in 1999
7 points · Two 1.5-hour lectures per week · Second semester · Clayton · Prerequisite: ETC2480 or ETC3480 or their equivalent
Objectives On completion of this subject students should have an understanding of the theory and techniques of mathematical programming for business and economic modelling; be able to make effective use of the mathematical programming facilities provided by modern spreadsheet packages; have enhanced analytical skills and the capacity to attack non-standard problems; possess sufficient knowledge to be able to read and understand scholarly published work in this area.
Synopsis Linear programming, network programming, integer linear programming; Markov decision processes; applications to production and distribution management, marketing, accounting and finance, health care, economics and econometrics.
Assessment Written (assignments and exercises): 30% · Examination (2 hours): 70%
Prescribed texts
Winston W L Operations research applications and algorithms 2nd edn, PWS-Kent, 1991
Back to the 1999 Business and Economics Handbook