MATH271-10S2 (C)
Mathematical Modelling and Computation 2
This is a second semester course worth 15 points.
Message of the Day
Posted by Phillipa Williams on September 16 2010, 11:18 am
Lecture Week 7 20–24 September
Single ODE’s
Lab 7
Lecture Week 8 27 Sept – 1 October
Systems of ODE’s
Lab 8
Lecture Week 9 4–8 October
Assignment 2 lectures (1 week only)
Assignment help in labs
TEST 2 (2A and 2C only) running this week
Lecture Week 10 11–15 October
Interpolation
Lab 6
Lecture Week 11 18 – 22 October
Boundary Value Problems
Lab 9
There will only be one week of lectures for the second EMTH271 assignment instead of two weeks.
The new Assignment 2 due date will be 5pm Friday 15th October.
Note that Assignment 1 is due on Tuesday 21st September (MATH271) or Wednesday 22nd September (EMTH271).
Test 2 will run from Monday 4th October to Friday 8th October in
addition to the assignment help labs and will cover Multivariable
Newton’s Method (2A) and Systems of ODE’s (2C).
Because Lab 9 is to be held in the final week of the term, this lab will
not be officially marked. However you MUST attend this lab, as it is on
a very important (and examinable!) topic. Your final lab mark will be
based on Labs 1-8.
EMTH171/271 help sessions will run in Erskine Lab 036 from 4-5pm on
Monday-Thursday starting on Monday 20th September.
Phillipa
Course Information
An application-oriented course in scientific computation. Numerical methods and approximations underlie much of modern science, engineering and technology, such as modelling structures, aircraft, geophysical situations, the spread of viruses, design of integrated circuits, and for image processing problems such as creating special effects for movies. The blend of theory, numerical methods, modelling and applications forms the basis for scientific computation.
The emphasis will be to survey a number of different numerical techniques rather than discuss any single topic in great detail. It will involve a mix of techniques from calculus and linear algebra, together with algorithmic and programming considerations. Programming exercises will be conducted using MATLAB. The interplay between mathematics, algorithmic concepts, the coding and numerical experiments is what makes scientific computation such a fascinating subject.
Topics
Iterative methods for nonlinear equations; numerical solution of linear and nonlinear systems; interpolation and approximation; numerical solution of ordinary differential equations. MATLAB: matrix algebra; structured programming; writing M-files; user-define functions; visualisation techniques.
Class Representative
Enquiries
Phillipa Williams
Room 424 Erskine Building
Phone Extension 7882