Biocalculus: Calculus, Probability, and Statistics for the Life Sciences, 2/e (AE-Paperback)
暫譯: 生物微積分：生命科學的微積分、機率與統計，第二版 (AE-平裝本)

James Stewart , Troy Day

Biocalculus: Calculus, Probability, and Statistics for the Life Sciences, 2/e (AE-Paperback)

相關主題

商品描述

本書序言

●New and updated real-world biological applications and models appear in numerous new examples and exercises.
●A new Case Study on modeling infectious diseases and their vaccination evolution draws on functions, limits, optimization, differential equations, statistics and data analysis.
●New coverage includes differential equations as models of biological systems, introductory material on data science/machine learning and numerical methods of integration.
●New WebAssign problem types include Expanded Problems with multiple steps and Explore It exercises with interactive learning modules that develop conceptual understanding.

本書特色

●Biological background for each application is given, and actual data concerning biological phenomena is used to introduce, motivate and illustrate the concepts of calculus.
●Graded exercise sets progress from basic conceptual exercises and skill-development problems to more challenging problems involving applications and proofs.
●Conceptual homework exercise sets offer a variety of problem types, including requests to explain the meanings of the basic concepts of the section.
●Engaging projects such as “Drug Resistance in Malaria” and “Flapping and Gliding of Birds” provide active learning opportunities for students individually or in groups.

商品描述(中文翻譯)

本書序言

●本書新增及更新了許多實際的生物應用和模型，並提供了多個新的範例和練習。

●一個新的案例研究探討了傳染病的建模及其疫苗演變，涉及函數、極限、優化、微分方程、統計和數據分析。

●新增內容包括將微分方程作為生物系統的模型、數據科學/機器學習的入門材料以及數值積分方法。

●新的 WebAssign 問題類型包括多步驟的擴展問題和探索性練習，這些互動學習模組有助於發展概念理解。

本書特色

●每個應用的生物背景都有所介紹，並使用實際數據來引入、激勵和說明微積分的概念。

●分級練習集從基本概念練習和技能發展問題逐步進展到更具挑戰性的應用和證明問題。

●概念性家庭作業練習集提供各種問題類型，包括要求解釋本節基本概念的意義。

●引人入勝的專案，如「瘧疾中的藥物抗性」和「鳥類的拍打與滑翔」，為學生提供了個別或小組的主動學習機會。

作者簡介

The late James Stewart received his M.S. from Stanford University and his Ph.D. from the University of Toronto. He conducted research at the University of London and was influenced by the famous mathematician, George Polya, at Stanford University. Dr. Stewart most recently served as a professor of mathematics at McMaster University and the University of Toronto. His research focused on harmonic analysis. Dr. Stewart authored the best-selling calculus textbook series, including CALCULUS, CALCULUS: EARLY TRANSCENDENTALS and CALCULUS: CONCEPTS AND CONTEXTS, as well as a series of successful precalculus texts and college algebra and trigonometry texts.

Troy Day received the M.S. degree in biology from the University of British Columbia and the Ph.D. in mathematics from Queen’s University. His first academic position was at the University of Toronto before being recruited back to Queen’s University as a Canada Research Chair in Mathematical Biology. He is currently Professor of Mathematics and Statistics and Professor of Biology. His research group works in areas ranging from applied mathematics to experimental biology. Day is also co-author of the widely used book, "A Biologist’s Guide to Mathematical Modeling," published by Princeton University Press in 2007.

作者簡介(中文翻譯)

已故的詹姆斯·斯圖爾特（James Stewart）於史丹佛大學（Stanford University）獲得碩士學位，並在多倫多大學（University of Toronto）獲得博士學位。他曾在倫敦大學（University of London）進行研究，並受到著名數學家喬治·波利亞（George Polya）在史丹佛大學的影響。斯圖爾特博士最近擔任麥克馬斯特大學（McMaster University）和多倫多大學的數學教授。他的研究專注於調和分析（harmonic analysis）。斯圖爾特博士著有暢銷的微積分教科書系列，包括《微積分》（CALCULUS）、《微積分：早期超越》（CALCULUS: EARLY TRANSCENDENTALS）和《微積分：概念與背景》（CALCULUS: CONCEPTS AND CONTEXTS），以及一系列成功的預備微積分（precalculus）和大學代數（college algebra）及三角學（trigonometry）教科書。



特洛伊·戴（Troy Day）於不列顛哥倫比亞大學（University of British Columbia）獲得生物學碩士學位，並在女王大學（Queen’s University）獲得數學博士學位。他的第一個學術職位是在多倫多大學，之後被招回女王大學擔任數學生物學的加拿大研究主席（Canada Research Chair）。他目前是數學與統計學教授及生物學教授。他的研究團隊的工作範圍從應用數學到實驗生物學。戴博士也是廣泛使用的書籍《生物學家的數學建模指南》（A Biologist’s Guide to Mathematical Modeling）的共同作者，該書於2007年由普林斯頓大學出版社（Princeton University Press）出版。

目錄大綱

Chapter 1: Functions And Sequences.
Chapter 2: Limits.
Chapter 3: Derivatives.
Chapter 4: Applications And Derivatives.
Chapter 5: Integrals.
Chapter 6: Applications Of Integrals.
Chapter 7: Differential Equations.
Chapter 8: Vectors And Matrix Models.
Chapter 9: Multivariate Calculus.
Chapter 10: Probability.
Chapter 11: Data Analysis: Exploration, Prediction, And Inference.

目錄大綱(中文翻譯)

Chapter 1: Functions And Sequences.

Chapter 2: Limits.

Chapter 3: Derivatives.

Chapter 4: Applications And Derivatives.

Chapter 5: Integrals.

Chapter 6: Applications Of Integrals.

Chapter 7: Differential Equations.

Chapter 8: Vectors And Matrix Models.

Chapter 9: Multivariate Calculus.

Chapter 10: Probability.

Chapter 11: Data Analysis: Exploration, Prediction, And Inference.

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