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

Undergraduate Course: Numerical Algorithms (MATH10043)

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 10 (Year 3 Undergraduate) Credits 10
Home subject area Mathematics Other subject area Specialist Mathematics & Statistics (Honours)
Course website https://info.maths.ed.ac.uk/teaching.html Taught in Gaelic? No
Course description This 3rd year course is an introduction to iterative numerical methods. The course considers the solution of linear and nonlinear algebraic systems, as well as ordinary differential equations.
Entry Requirements
Pre-requisites It is RECOMMENDED that students have passed Foundations of Calculus (MATH08005) AND Several Variable Calculus (MATH08006) AND Linear Algebra (MATH08007) AND Methods of Applied Mathematics (MATH08035)
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
King's BuildingsLecture1-11 15:00 - 15:50
King's BuildingsLecture1-11 15:00 - 15:50
First Class Week 1, Monday, 15:00 - 15:50, Zone: King's Buildings. JCMB, Lecture Theatre A
Exam Information
Exam Diet Paper Name Hours:Minutes Stationery Requirements Comments
Main Exam Diet S2 (April/May)2:0016 sides. No YAFc/w MATH09020
Resit Exam Diet (August)2:0016 sides. No YAFc/w MATH09020
Summary of Intended Learning Outcomes
1. Knowledge of basic methods for analysing iteration using eigenvalues and error estimates.
2. Understand elementary methods for nonlinear equations and systems.
3. Knowledge of basic techniques of numerical linear algebra.
4. Familiarity with techniques for analysis of numerical methods for ordinary differential equations, including implicit methods.
Assessment Information
30% continuous assessment
70% examination
Visiting Student Variant Assessment
30% continuous assessment
70% examination
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 NuA
Contacts
Course organiser Dr Adri Olde-Daalhuis
Tel: (0131 6)50 5992
Email: A.OldeDaalhuis@ed.ac.uk
Course secretary Mrs Kathryn Mcphail
Tel: (0131 6)50 4885
Email: k.mcphail@ed.ac.uk
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copyright 2011 The University of Edinburgh - 31 January 2011 7:59 am