Synopses & Reviews
Synopsis
Engineering Mathematics is the best-selling introductory mathematics text for students on science and engineering degree and pre-degree courses. Sales of previous editions stand at more than half a million copies. It is suitable for classroom use and self-study.
Its unique programmed approach takes students through the mathematics they need in a step-by-step fashion with a wealth of examples and exercises. The book is divided into two sections with the Foundation section starting at Level 0 of the IEng syllabus and the main section extending over all elements of a first year undergraduate course and into many second year courses. The book therefore suits a full range of abilities and levels of access. The Online Personal Tutor guides students through exercises in the same step-by-step fashion as the book, with hundreds of full workings to questions.
Synopsis
The best-selling introductory mathematics textbook for students on engineering and science degree and pre-degree courses. Sales stand at more than half a million copies world-wide.
Its unique programmed approach really works Many thousands of students have found that they understand and excel through using this book. It takes you through the mathematics in a step-by-step fashion with a wealth of examples and exercises. The text demands that you engage with it by asking you to complete steps that you should be able to manage from previous examples or knowledge you have acquired, while carefully introducing new steps. By working with the authors through the examples, you become proficient as you go. By the time you come to trying examples on your own, confidence is high.
Aimed at undergraduates on Foundation and First Year degree programmes in all Engineering disciplines and Science. The Foundation section covers mathematics from GCSE onwards to allow for revision and gap-filling, and so means the book can be used for a range of abilities and all levels of access.
New to this Edition:
- A general revision of the entire contents
- In Matrices an emphasis on eigenvalues and eigenvectors and the introduction of the Cayley-Hamilton theorem
- New review summaries plus a new easy reference to help check back when you need more help
- Key chapters improved yet further as a result of detailed student feedback