Linear Programming & Numerical Analysis (CPD) (U03834)

? Credit Points : 10 ? SCQF Level : 8 ? Acronym : MAT-1-LPNA

First year course primarily for Honours Degrees in Mathematics and/or Statistics. Linear programming (LP): Modelling using LP; solution of LP problems by the standard simplex method; fair prices and sensitivity for LP problems.
Numerical Analysis (NA): Interpolation and approximation; Numerical integration; Numerical differentiation; Numerical solution of a nonlinear equation.

Entry Requirements

? This course is not available to visting students.

? Pre-requisites : H-Grade Mathematics or equivalent

? Prohibited combinations : NB : Not available to full-time Undergraduate students.

Subject Areas

Home subject area

Specialist Mathematics & Statistics (Year 1), (School of Mathematics, Schedule P)

Delivery Information

? Normal year taken : 1st year

? Delivery Period : Not being delivered

? Additional Class Information : The course is taught entirely as a distance learning course with no scheduled contact hours. WebCT will be the teaching medium with course texts and a dedicated tutor.

Summary of Intended Learning Outcomes

LPNA Learning Outcomes

1. Ability to model simple continuous linear decision-making scenarios.
2. Mastery of the simplex method for linear programming and ability to extract the solution and sensitivity information from the optimal tableau.
3. Ability to perform numerical integration, differentiation and determine the solution of a single nonlinear equation numerically.
4. Understanding of the order of approximation error and the interplay between approximation error and computational error in the case of numerical differentiation.