Mathematics in Biology
暫譯: 生物學中的數學
Meister, Markus, Lee, Kyu Hyun, Portugues, Ruben
- 出版商: MIT
- 出版日期: 2025-02-18
- 售價: $4,150
- 貴賓價: 9.5 折 $3,943
- 語言: 英文
- 頁數: 360
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 0262049406
- ISBN-13: 9780262049405
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商品描述
A concise but rigorous textbook for advanced undergraduate and graduate students across the biological sciences that provides a foundation for understanding the methods used in quantitative biology.
Biology has turned into a quantitative science. The core problems in the life sciences today involve complex systems that require mathematical expression, yet most biologists are untrained in this dimension of the discipline. Bridging that gap, this practical textbook equips students to integrate advanced mathematical concepts with their biological education. Mathematics in Biology covers three broad subjects--linear algebra, probability and statistics, and dynamical systems--each treated at three levels: basic principles, advanced topics, and applications. Motivations and examples are drawn from diverse areas of study, while end-of-chapter exercises encourage creative applications. Based on nearly two decades of teaching at Harvard and Caltech, this rigorous but concise text provides an essential foundation for understanding the methods used in quantitative biology. - Proven in the classroom
- Suitable for advanced undergraduate and graduate students across the biological sciences
- Offers accompanying online materials including code and solved exercises
Biology has turned into a quantitative science. The core problems in the life sciences today involve complex systems that require mathematical expression, yet most biologists are untrained in this dimension of the discipline. Bridging that gap, this practical textbook equips students to integrate advanced mathematical concepts with their biological education. Mathematics in Biology covers three broad subjects--linear algebra, probability and statistics, and dynamical systems--each treated at three levels: basic principles, advanced topics, and applications. Motivations and examples are drawn from diverse areas of study, while end-of-chapter exercises encourage creative applications. Based on nearly two decades of teaching at Harvard and Caltech, this rigorous but concise text provides an essential foundation for understanding the methods used in quantitative biology. - Proven in the classroom
- Suitable for advanced undergraduate and graduate students across the biological sciences
- Offers accompanying online materials including code and solved exercises
商品描述(中文翻譯)
一本簡明而嚴謹的教科書，適合生物科學領域的高年級本科生和研究生，為理解定量生物學中使用的方法提供基礎。
生物學已經轉變為一門定量科學。當今生命科學的核心問題涉及複雜系統，這些系統需要數學表達，然而大多數生物學家在這一領域並未接受過訓練。為了彌補這一差距，這本實用的教科書使學生能夠將先進的數學概念與他們的生物學教育相結合。《生物學中的數學》涵蓋三個廣泛的主題——線性代數、概率與統計以及動態系統——每個主題都從三個層面進行探討：基本原則、高級主題和應用。動機和例子來自多個研究領域，而章末練習則鼓勵創造性的應用。基於近二十年的哈佛和加州理工學院的教學經驗，這本嚴謹但簡明的教材為理解定量生物學中使用的方法提供了必要的基礎。- 在課堂上經過驗證- 適合生物科學領域的高年級本科生和研究生
- 提供伴隨的在線材料，包括代碼和已解決的練習題
作者簡介
Markus Meister is Anne P. and Benjamin F. Biaggini Professor of Biological Sciences at Caltech. Kyu Hyun Lee is a postdoctoral fellow in neurobiology at the University of California, San Francisco. Ruben Portugues is Assistant Professor in the Institute of Neuroscience at the Technical University of Munich.
作者簡介(中文翻譯)
馬庫斯·梅斯特（Markus Meister）是加州理工學院（Caltech）生物科學的安妮·P·比亞基尼（Anne P. Biaggini）和本傑明·F·比亞基尼（Benjamin F. Biaggini）教授。李奎賢（Kyu Hyun Lee）是加州大學舊金山分校（University of California, San Francisco）神經生物學的博士後研究員。魯本·波爾圖蓋斯（Ruben Portugues）是慕尼黑工業大學（Technical University of Munich）神經科學研究所的助理教授。
