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ISBN 10: 0691255679 ISBN 13: 9780691255675
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. 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 organised 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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ISBN 10: 0691255679 ISBN 13: 9780691255675
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Aggiungi al carrelloPaperback. Condizione: New. A hands-on lab guide in the Python programming language that enables students in the life sciences to reason quantitatively about living systems across scalesThis 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 R and MATLAB.
Editore: Princeton University Press, 2024
ISBN 10: 0691255679 ISBN 13: 9780691255675
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Editore: Princeton University Press, New Jersey, 2024
ISBN 10: 0691255679 ISBN 13: 9780691255675
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. 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 organised 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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ISBN 10: 0691255679 ISBN 13: 9780691255675
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Aggiungi al carrelloCondizione: New. Über den AutorJoshua S. Weitz, Nolan English, Alexander B. Lee, and Ali ZamaniKlappentextA hands-on lab guide in the Python programming language that enables students in the life sciences to reason quanti.
Editore: Princeton University Press, New Jersey, 2024
ISBN 10: 0691255679 ISBN 13: 9780691255675
Lingua: Inglese
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. 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 organised 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editore: Princeton University Press Mär 2024, 2024
ISBN 10: 0691255679 ISBN 13: 9780691255675
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - A hands-on lab guide in the Python programming language that enables students in the life sciences to reason quantitatively about living systems across scalesThis 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.
Editore: Princeton University Press, US, 2024
ISBN 10: 0691255679 ISBN 13: 9780691255675
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
EUR 31,32
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Aggiungi al carrelloPaperback. Condizione: New. A hands-on lab guide in the Python programming language that enables students in the life sciences to reason quantitatively about living systems across scalesThis 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 R and MATLAB.
Da: Revaluation Books, Exeter, Regno Unito
EUR 25,86
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Aggiungi al carrelloPaperback. Condizione: Brand New. 272 pages. 10.00x8.00x0.57 inches. In Stock. This item is printed on demand.