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Joshua S Weitz

    Quantitative Biosciences Companion in MATLAB
    Quantitative Biosciences Companion in R
    Quantitative Biosciences Companion in Python
    Quantitative Biosciences
    Quantitative Viral Ecology
    • Quantitative Viral Ecology

      Dynamics of Viruses and Their Microbial Hosts

      • 360pages
      • 13 heures de lecture

      The book offers essential principles and clear explanations of quantitative virology, filling a gap in the field by consolidating information that was previously scattered across primary literature. It serves as a valuable resource for students new to virology and those seeking to refresh their understanding of the discipline.

      Quantitative Viral Ecology
    • Quantitative Biosciences

      Dynamics Across Cells, Organisms, and Populations

      • 408pages
      • 15 heures de lecture

      Focusing on practical applications, this book offers a comprehensive guide to quantitative reasoning specifically tailored for the life sciences. It emphasizes real-world problems and provides tools for data analysis, statistical methods, and modeling. Designed for students and professionals alike, the hands-on exercises enhance understanding and foster critical thinking skills necessary for tackling complex biological questions. The integration of theory and practice equips readers with the knowledge to apply quantitative techniques effectively in their research and studies.

      Quantitative Biosciences
    • "This 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"--

      Quantitative Biosciences Companion in R
    • This 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

      Quantitative Biosciences Companion in MATLAB