72,95 €
72,95 €
inkl. MwSt.
Erscheint vor. 18.02.25
payback
36 °P sammeln
72,95 €
72,95 €
inkl. MwSt.
Erscheint vor. 18.02.25

Alle Infos zum eBook verschenken
payback
36 °P sammeln
Als Download kaufen
72,95 €
inkl. MwSt.
Erscheint vor. 18.02.25
payback
36 °P sammeln
Jetzt verschenken
72,95 €
inkl. MwSt.
Erscheint vor. 18.02.25

Alle Infos zum eBook verschenken
payback
36 °P sammeln

Unser Service für Vorbesteller - Ihr Vorteil ohne Risiko:
Sollten wir den Preis dieses Artikels vor dem Erscheinungsdatum senken, werden wir Ihnen den Artikel bei der Auslieferung automatisch zum günstigeren Preis berechnen.
  • Format: ePub

A concise but rigorous textbook for advanced undergraduate and graduate students across the biological sciences that provides a foundation for understanding the methods used in quantitative biology. Biology has turned into a quantitative science. The core problems in the life sciences today involve complex systems that require mathematical expression, yet most biologists are untrained in this dimension of the discipline. Bridging that gap, this practical textbook equips students to integrate advanced mathematical concepts with their biological education. Mathematics in Biology covers three…mehr

  • Geräte: eReader
  • mit Kopierschutz
  • eBook Hilfe
  • FamilySharing(5)
Produktbeschreibung
A concise but rigorous textbook for advanced undergraduate and graduate students across the biological sciences that provides a foundation for understanding the methods used in quantitative biology. Biology has turned into a quantitative science. The core problems in the life sciences today involve complex systems that require mathematical expression, yet most biologists are untrained in this dimension of the discipline. Bridging that gap, this practical textbook equips students to integrate advanced mathematical concepts with their biological education. Mathematics in Biology covers three broad subjectslinear algebra, probability and statistics, and dynamical systemseach treated at three levels: basic principles, advanced topics, and applications. Motivations and examples are drawn from diverse areas of study, while end-of-chapter exercises encourage creative applications. Based on nearly two decades of teaching at Harvard and Caltech, this rigorous but concise text provides an essential foundation for understanding the methods used in quantitative biology. • Proven in the classroom • Suitable for advanced undergraduate and graduate students across the biological sciences • Offers accompanying online materials including code and solved exercises

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
Markus Meister is Anne P. and Benjamin F. Biaggini Professor of Biological Sciences at Caltech. Kyu Hyun Lee is a postdoctoral fellow in neurobiology at the University of California, San Francisco. Ruben Portugues is Assistant Professor in the Institute of Neuroscience at the Technical University of Munich.