Understanding Engineering Mathematics »

* Unique interactive style enables students to diagnose their strengths and weaknesses and focus their efforts where needed
* Ideal for self-study and tutorial work, building from an initially supportive approach to the development of independent learning skills
* Free website includes solutions to all exercises, additional topics and applications, guide to learning mathematics, and practice material

Students today enter engineering courses with a wide range of mathematical skills, due to the many different pre-university qualifications studied. Bill Cox's aim is for students to gain a thorough understanding of the maths they are studying, by first strengthening their background in the essentials of each topic. His approach allows a unique self-paced study style, in which students Review their strengths and weaknesses through self-administered diagnostic tests, then focus on Revision where they need it, to finally Reinforce the skills required.

The book is structured around a highly successful 'transition' maths course at Aston University which has demonstrated a clear improvement in students' achievement in mathematics, and has been commended by QAA Subject Review and engineering accreditation reports.

A core undergraduate text with a unique interactive style that enables students to diagnose their strengths and weaknesses and focus their efforts where needed Ideal for self-paced self-study and tutorial work, building from an initially supportive approach to the development of independent learning skills Lots of targeted examples and exercises

Number and arithmetic; Algebra; Functions and series; Exponential and logarithm functions; Geometry of lines, triangles and circles; Trigonometry; Coordinate geometry; Techniques of differentiation; Techniques of integration; Applications of differentiation and integration; Vectors; Complex numbers; Matrices and determinants; Analysis for engineers limits, sequences, iteration and all that; Ordinary differential equations; Functions of more than one variable partial differentiation; An appreciation of transform methods; Index.