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Quantitative Biosciences Companion in Python - Dynamics across Cells, Organisms, and Populations
Loot Price: R574
Discovery Miles 5 740
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Quantitative Biosciences Companion in Python - Dynamics across Cells, Organisms, and Populations
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Loot Price R574
Discovery Miles 5 740
Expected to ship within 10 - 15 working days
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A hands-on lab guide in the Python 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 R and MATLAB
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