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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2010/2011
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DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Linear Programming & Numerical Analysis (MATH08037)

Course Outline
School School of Mathematics College College of Science and Engineering
Course type Standard Availability Available to all students
Credit level (Normal year taken) SCQF Level 8 (Year 1 Undergraduate) Credits 10
Home subject area Mathematics Other subject area Specialist Mathematics & Statistics (Year 1)
Course website https://info.maths.ed.ac.uk/teaching.html Taught in Gaelic? No
Course description 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
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisites None
Displayed in Visiting Students Prospectus? Yes
Course Delivery Information
Delivery period: 2010/11 Semester 2, Available to all students (SV1) WebCT enabled:  Yes Quota:  None
Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday
CentralLecture1-11 10:00 - 10:50
CentralLecture1-11 10:00 - 10:50
First Class Week 1, Tuesday, 10:00 - 10:50, Zone: Central. Appleton Tower, Lecture Theatre 3
Additional information Tutorials: F at 0900, 1000 and 1110.
Exam Information
Exam Diet Paper Name Hours:Minutes Stationery Requirements Comments
Main Exam Diet S2 (April/May)2:00None. No YAF.
Resit Exam Diet (August)2:00None. No YAF.
Summary of Intended 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.
Assessment Information
Coursework (which may include a Project): 15%; Degree Examination: 85%.
Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus Not entered
Transferable skills Not entered
Reading list Not entered
Study Abroad Not entered
Study Pattern Not entered
Keywords LPNA
Contacts
Course organiser Dr Toby Bailey
Tel: (0131 6)50 5068
Email: t.n.bailey@ed.ac.uk
Course secretary Miss Louise Durie
Tel: (0131 6)50 5050
Email: L.Durie@ed.ac.uk
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copyright 2011 The University of Edinburgh - 31 January 2011 7:58 am