Data-Handling in Biomedical Science
Data-Handling in Biomedical Science
Packed with worked examples and problems, this book will help the reader improve their confidence and skill in data-handling. The mathematical methods needed for problem-solving are described in the first part of the book, with chapters covering topics such as indices, graphs and logarithms. The following eight chapters explore data-handling in different areas of microbiology and biochemistry including microbial growth, enzymes and radioactivity. Each chapter is fully illustrated with worked examples that provide a step-by-step guide to the solution of the most common problems. Over 30 exercises, ranging in difficulty and length, allow you to practise your skills and are accompanied by a full set of hints and solutions.
- Packed with worked examples, giving the reader a step-by-step guide to solving common problems
- Gives the reader wide scope for practising their skills, with numerous problems of varying length and difficulty accompanied by hints and full solutions
- Ideal for readers with limited mathematical background; early chapters cover all of the necessary concepts and techniques
Reviews & endorsements
'This is an excellent and most welcome book. It combines a refresher course in mathematics (for those who need it) with a comprehensive range of data-handling problems and worked examples in biochemistry and microbiology - invaluable for both students and tutors.' John R. Guest FRS, University of Sheffield
Product details
May 2010Paperback
9780521143868
258 pages
228 × 152 × 12 mm
0.43kg
77 b/w illus.
Available
Table of Contents
- Acknowledgements
- Introduction
- Abbreviations and Système International
- How important is maths in data-handling?
- 1. Numbers and indices
- 2. A sense of proportion
- 3. Graphs
- 4. Algebra
- 5. Logarithms
- 6. Simple statistics
- 7. Preparing solutions and media
- 8. Growth in batch cultures
- 9. Growth in continuous culture
- 10. Enzymes
- 11. Spectrophotometry
- 12. Energy metabolism
- 13. Radioactivity
- 14. Microbial genetics
- 15. Problems
- 16. Advice and hints
- 17. Answers
- Conclusion
- Index.
