Mar

22

2024

Quantitative Biosciences Companion in MATLAB Dynamics Across Cells, Organisms, and Populations

kenn 22 Mar 2024 13:52 LEARNING » e-book

Quantitative Biosciences Companion in MATLAB Dynamics Across Cells, Organisms, and Populations
Free Download Quantitative Biosciences Companion in MATLAB: Dynamics Across Cells, Organisms, and Populations by Joshua S. Weitz, Bradford P. Taylor
English | March 5, 2024 | ISBN: 0691255687 | True PDF | 256 pages | 13.6 MB
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 communitiesEncourages good coding practices, clear and understandable modeling, and accessible presentation of resultsHelps students to develop a diverse repertoire of simulation approaches, enabling them to model at the appropriate scaleBuilds 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 simulationsBridges the gap between the classroom and research discovery, helping students to think independently, troubleshoot and resolve problems, and embark on research of their ownStand-alone computational lab guides for Quantitative Biosciences also available in Python and R


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