Foundations of Science Mathematics
Series: Oxford Chemistry Primers;
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16 249 Ft
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
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Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 2
- Publisher OUP Oxford
- Date of Publication 12 November 2020
- ISBN 9780198797548
- Binding Paperback
- No. of pages200 pages
- Size 246x189x16 mm
- Weight 342 g
- Language English 53
Categories
Short description:
Foundations of Science Mathematics provides a clear, concise and accessible introduction to the maths skills required to be successful in your study of science subjects, alongside over 90 problems and worked solutions.
MoreLong description:
Mathematics plays a key part in every quantitative and theoretical subject, and is taught to all science and engineering students. Foundations of Science Mathematics bridges the gap between school and university, and spans a large range of topics, from basic arithmetic and algebra to calculus, Fourier transforms, and elementary data analysis. Problems and worked solutions are presented in an informal and readable tutorial style, making the text accessible to the novice, while its concise nature ensures that it is a useful reference for the experienced professional.
The first edition primer and its companion 'Worked Problems' workbook are combined in this new edition, and a new chapter on data analysis has been added to ensure the book remains as comprehensive and useful to students as possible.
The answers to the worked examples are superb, very instructive, and include detailed sketches.
Table of Contents:
Basic algebra and arithmetic
Curves and graphs
Trigonometry
Differentiation
Integration
Taylor series
Complex numbers
Vectors
Matricies
Partial differentiation
Line integrals
Multiple integrals
Ordinary differential equations
Partial differential equations
Fourier series and transforms
Data analysis
