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- Mathematics for the Life Sciences
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Barang #:
86575199
Mathematics for the Life Sciences
89% of respondents would recommend this to a friend
Barang #:
86575199
USD 80
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Pesan sekarang dan dapatkan kira-kira pada Rabu, Oktober 21
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Mathematics for the Life Sciences provides an accessible introduction to critical mathematical concepts, linking them to biological observation and theory.
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What Stands Out
Real-World Applications
Connects mathematical concepts to life science scenarios, enhancing understanding and practical use in fields like biology and ecology.
Student-Friendly Approach
Offers clear explanations and step-by-step guidance, making complex topics accessible for students at all proficiency levels.
Engaging Examples
Incorporates diverse case studies and examples from contemporary life sciences, motivating students by relating mathematics to their interests and future careers.
Rincian Produk
| Publisher | Princeton University Press |
| Publication date | August 17, 2014 |
| Language | English |
| Print length | 640 pages |
| ISBN-10 | 0691150729 |
| ISBN-13 | 978-0691150727 |
| Item Weight | 4.31 pounds (1.95 kg) |
| Dimensions | 8.5 x 1.5 x 10.5 inches (21.6 x 3.8 x 26.7 cm) |
Who Should Buy?
-
Biology Students
Ideal for students in biology requiring mathematical tools to analyze biological data and processes effectively.
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Healthcare Professionals
Useful for healthcare workers needing a foundation in statistics to interpret research and patient data.
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Research Scientists
A valuable resource for scientists pursuing quantitative research in various life science fields.
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Mathematics Majors
Not suitable for those requiring a deep theoretical understanding or advanced mathematical concepts beyond applied techniques.
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Mathematics for the Life Sciences
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USD 80
Pesan sekarang dan dapatkan kira-kira pada Rabu, Oktober 21
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Fitur & Manfaat
- Accessible textbook designed for undergraduate life science students.
- Covers essential mathematical concepts necessary for modern biology.
- Includes diverse quantitative techniques not typically taught in standard courses.
- Utilizes MATLAB for practical coding examples and model-data connections.
- Prepares students for the MCAT with a focus on data-based and statistical reasoning.
- Offers end-of-chapter homework and projects to reinforce learning.
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