Engineering Mathematics graduates are called on to use their logical skills to formulate a problem, their modelling skills to translate the problem into mathematical terms, their technical skills to write a computer program or use a software package, their mathematical understanding to question and interpret the results, and their knowledge of engineering to implement the solution. Some models of real situations have unpredictable behaviour over long periods of time. This is the new area of nonlinear dynamics or chaos theory now being applied to engineering problems such as structural design and ship capsize. The growth in this field has been enormous in the past few years and Bristol is one of the leaders in the field. In recognition of this, the Engineering Mathematics course includes units on computers as engineering components, computers helping professionals in complex tasks using artificial intelligence and expert systems , and computers used in engineering desisn and analysis.
Computers are now more than number crunchers.
They are an essential tool for engineers and can be used by mathematicians as an experimental tool to create new mathematics. This is the motivation for Computational and Experimental Mathematics . It shares many units with the Engineering Mathematics course but has a greater concentration in computing and artificial intelligence. The following is a list of the teaching materials which are currently available on the web to support Engineering Mathematics units. Follow the links to find the teaching materials.