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.
Joshua S Weitz Reihenfolge der Bücher (Chronologisch)




Quantitative Biosciences Companion in Python
- 272 Seiten
- 10 Lesestunden
Quantitative Biosciences Companion in R
- 272 Seiten
- 10 Lesestunden
"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
- 256 Seiten
- 9 Lesestunden
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