## MATH36022 Online Resources (2017)

See the course syllabus and see how this course fits in the Numerical Analysis Pathway.

## Available Resources

** Lecturer: ** Dr. Catherine Powell

** Email: ** c_dot_powell_at_manchester_dot_ac_dot_uk

** Office:** 1.124, Alan Turing Building. ** Office Hours: ** TBA

** Lectures: ** TBA. ** Example Classes: ** TBA.

## MATLAB

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. If you are not confident with MATLAB don't panic. 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.

## Preliminary Results

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. **
## Lecture Notes

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 or special circumstances preventing them from attending lectures should contact me to make arrangements.

I will post full notes (but without all the details of the proofs) when each section is complete.

** Approximation of functions **

Summary of approximation theory notes . (University log in required).

** Quadrature **

Summary of quadrature notes . (University log in required).

** Numerical methods for solving ODEs **

Summary of numerical methods for ODEs notes . (University log in required).

## Example Sheets

I will usually post one set of solutions per week (after the examples class). I will indicate below which questions you should be able to do in which week.
## Textbooks

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

## Coursework

Coursework is worth 20% and will take the form of an in-class test.

## Exam resources

Recent past exam papers are avaliable from main School of Mathematics website.
Feedback report on the June 2016 exam.

Feedback report on the May 2015 exam.

Feedback report on the June 2014 exam.

Feedback report on the June 2013 exam.