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.
Rezensionen / Stimmen
'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
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Produkt-Hinweis
Illustrationen
77 s/w Abbildungen
8 Halftones, black and white; 69 Line drawings, black and white
Maße
Höhe: 229 mm
Breite: 152 mm
Dicke: 14 mm
Gewicht
ISBN-13
978-0-521-14386-8 (9780521143868)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Peter White taught practical classes and tutorials in microbiology for over 30 years during his time as a Lecturer and Senior Lecturer at Sheffield University. His research interests include microbial drug-resistance, biochemistry of bacterial walls and metabolism of members of the genus Bacillus. He is a member of the Society for General Microbiology and a past member of the Biochemical Society and the American Society for Microbiology.
Autor*in
University of Sheffield
Acknowledgements; Introduction; Abbreviations and Systeme 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.
