MATH36022 Online Resources (2015)
See how this course fits into the Numerical Analysis Undergraduate Study Pathway.
Lecturer: Dr. Catherine Powell
Office: 1.124, Alan Turing Building.
Office Hours: TBA.
Lectures: Tuesday 1pm and Thursday 3pm-5pm, Alan Turing G.207.
Example Classes: One of the Thursday slots will be used as an Examples Class - TBA.
Students will be required to use MATLAB occasionally and should know how to set up vectors, perform mathematical operations on vectors, write simple programmes and plot functions. Demos will be given in examples classes throughout the term and examples given on handouts. Useful MATLAB resources and tutorials can be found on the web, including, HERE. An extensive range of MATLAB manuals are also available at the library.
Occasionally, we will need results from analysis from earlier courses. These results are summarised in the above document. Students are expected to know these results and should be prepared to use them during the course wherever necessary.
Some online lecture notes and supplementary materials, to be read in between lectures, will be provided. These can be accessed from the links below. I will usually also give out paper copies. However, students are also expected to take their own notes in the lectures. Anyone with special support needs should contact me to make arrangements.
Approximation of functions
Numerical methods for solving ODEs
I will usually post one set of solutions per week (after the examples class).
- Sheet 1 - attempt for the first examples class in Week 2
- Sheet 2
- Sheet 3
- Sheet 4
- Sheet 5
- Sheet 6
- Sheet 7
- Sheet 8
Of all the text books that appear on the official reading list, the one I recommend most is:
- Endre Suli and David F. Mayers. An Introduction to Numerical Analysis. Cambridge University Press, Cambridge, UK, 2003
Past papers are avaliable from main School of Mathematics website.
Feedback report on the June 2014 exam.
Feedback report on the June 2013 exam.