From this page you can download three useful documents to help you get started with computing in the School of Mathematics and Statistics. More detailed information on the computing component of each course will be posted on Moodle.
The Computing Laboratories Information for Students (PDF) provides an overview of the workings of the computer labs in the School of Mathematics and Statistics.
The First year maple notes (PDF) will help you become familiar with the Maple package. Maple lab consultants are another source of help.
This Introduction to Matlab (PDF) will help you become familiar with Matlab.
It is not necessary for students to buy their own copy of Maple or Matlab, as these packages are available on all computers in the School of Mathematics and Statistics labs or remotely via myAccess.
For advice on ontaining mathematical or statistical software that will be useful in your course see the Obtaining software page.
These 10 Python lessons will help you become familar with Python.
This Introduction to Julia will help you become familiar with Julia.
Multivariable continuous optimization
Fitting and sampling statistical distributions
Examples of some dynamical systems in Julia