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Quantitative Biosciences Companion in MATLAB - by Joshua S Weitz & Bradford Taylor (Paperback)

Quantitative Biosciences Companion in MATLAB - by  Joshua S Weitz & Bradford Taylor (Paperback) - 1 of 1
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About this item

Highlights

  • 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.
  • About the Author: Joshua S. Weitz is professor and the Clark Leadership Chair in Data Analytics in the Department of Biology at the University of Maryland.
  • 256 Pages
  • Science, Life Sciences

Description



Book Synopsis



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 students--whether from the life sciences, physics, computational sciences, engineering, or mathematics--how 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



About the Author



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.
Dimensions (Overall): 10.0 Inches (H) x 8.0 Inches (W) x .54 Inches (D)
Weight: 1.14 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 256
Genre: Science
Sub-Genre: Life Sciences
Publisher: Princeton University Press
Theme: Biology
Format: Paperback
Author: Joshua S Weitz & Bradford Taylor
Language: English
Street Date: March 5, 2024
TCIN: 89397457
UPC: 9780691255682
Item Number (DPCI): 247-27-7733
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.54 inches length x 8 inches width x 10 inches height
Estimated ship weight: 1.14 pounds
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