Cox | Understanding Engineering Mathematics | Buch | 978-0-7506-5098-4 | sack.de

Buch, Englisch, 560 Seiten, Format (B × H): 185 mm x 246 mm, Gewicht: 1006 g

Cox

Understanding Engineering Mathematics


Erscheinungsjahr 2001
ISBN: 978-0-7506-5098-4
Verlag: Elsevier Science & Technology

Buch, Englisch, 560 Seiten, Format (B × H): 185 mm x 246 mm, Gewicht: 1006 g

ISBN: 978-0-7506-5098-4
Verlag: Elsevier Science & Technology


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.

Understanding Engineering Mathematics 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

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Zielgruppe


Level 4


Autoren/Hrsg.


Weitere Infos & Material


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



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