Understanding Engineering Mathematics
- Bill Cox, Aston University, UK
* 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 materialStudents 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.View full description
- Published: October 2001
- Imprint: BUTTERWORTH HEINEMANN
- ISBN: 978-0-7506-5098-4
"Most of syllabi covered with all steps included insolved examples. Plenty of basic maths" Senior Lecturer "Good readability and relevant for the Foundation year with practical examples" College Programme Director
Table of ContentsNumber 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.