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Quantitative Biosciences Companion in MATLAB: Dynamics across Cells, Organisms, and Populations

(Paperback)


Publishing Details

Full Title:

Quantitative Biosciences Companion in MATLAB: Dynamics across Cells, Organisms, and Populations

Contributors:

By (Author) Joshua S. Weitz
By (author) Bradford Taylor

ISBN:

9780691255682

Publisher:

Princeton University Press

Imprint:

Princeton University Press

Publication Date:

1st July 2024

Country:

United States

Classifications

Readership:

Professional and Scholarly

Fiction/Non-fiction:

Non Fiction

Other Subjects:

Mathematical and statistical software
Data science and analysis: general

Dewey:

570

Physical Properties

Physical Format:

Paperback

Number of Pages:

256

Dimensions:

Width 203mm, Height 254mm

Description

A hands-on lab guide in the MATLAB programming language that enables students in the life sciences to reason quantitatively about living systems across scales

This lab guide accompanies the textbook Quantitative Biosciences, providing students with the skills they need to translate biological principles and mathematical concepts into computational models of living systems. This hands-on guide uses a case study approach organized around central questions in the life sciences, introducing landmark advances in the field while teaching studentswhether from the life sciences, physics, computational sciences, engineering, or mathematicshow to reason quantitatively in the face of uncertainty.

  • Draws on real-world case studies in molecular and cellular biosciences, organismal behavior and physiology, and populations and ecological communities
  • Encourages good coding practices, clear and understandable modeling, and accessible presentation of results
  • Helps students to develop a diverse repertoire of simulation approaches, enabling them to model at the appropriate scale
  • Builds practical expertise in a range of methods, including sampling from probability distributions, stochastic branching processes, continuous time modeling, Markov chains, bifurcation analysis, partial differential equations, and agent-based simulations
  • Bridges the gap between the classroom and research discovery, helping students to think independently, troubleshoot and resolve problems, and embark on research of their own
  • Stand-alone computational lab guides for Quantitative Biosciences also available in Python and R

Author Bio

Joshua S. Weitz is professor and the Clark Leadership Chair in Data Analytics in the Department of Biology at the University of Maryland. Previously, he held the Tom and Marie Patton Chair in Biological Sciences at the Georgia Institute of Technology, where he founded the Interdisciplinary Graduate Program in Quantitative Biosciences. He is the author of Quantitative Viral Ecology (Princeton). Bradford P. Taylor is a research associate in the T. H. Chan School of Public Health at Harvard University.

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