Module outline
IB2070: Mathematical Programming 2
Mathematical Programming I, or Quantitative Methods of Analysis are prerequisites.On successful completion of this module, you will be able to:-
- Identify the business problems that can be modelled using optimisation techniques and formulate them in a suitable mathematical form;
- Apply optimisation techniques to the solution of the problems using spreadsheets and other appropriate software;
- Report on the meaning of the optimal solution in a manner suited to a business context.
The syllabus is taught as follows:
2 x 1-hour lectures per week; 1 x 1-hour seminars per week
This module includes coverage of theoretical and practical aspects of mathematical programming. In particular it covers, Linear programming problems with integer variables; the branch and bound algorithm; dynamic programming; network optimisation including project management problems; stochastic linear programming; convex sets and functions and their role in optimisation; simple optimality conditions for non-linear programming problems; the use of spreadsheets for the solution of optimisation problems.
This module is worth 12 Credit Accumulation and Transfer Scheme (CATS) points.
