Engelska · 456 sidor · 2019
- Språk
- Engelska
- Omfång
- 456 sidor
- Utgiven
- 2019
This unique text provides a thorough, yet accessible, grounding in the mathematics, statistics, and programming that students need to master for coursework and research in climate science, meteorology, and oceanography. Assuming only high school mathematics, it presents carefully selected concepts and techniques in linear algebra, statistics, computing, calculus and differential equations within the context of real climate science examples. Computational techniques are integrated to demonstrate how to visualize, analyze, and apply climate data, with R code featured in the book and both R and Python code available online. Exercises are provided at the end of each chapter with selected solutions available to students to aid self-study and further solutions provided online for instructors only. Additional online supplements to aid classroom teaching include datasets, images, and animations. Guidance is provided on how the book can support a variety of courses at different levels, making it a highly flexible text for undergraduate and graduate students, as well as researchers and professional climate scientists who need to refresh or modernize their quantitative skills.
This unique text provides a thorough, yet accessible, grounding in the mathematics, statistics, and programming that students need to master for coursework and research in climate science, meteorology, and oceanography. Assuming only high school mathematics, it presents carefully selected concepts and techniques in linear algebra, statistics, computing, calculus and differential equations within the context of real climate science examples. Computational techniques are integrated to demonstrate how to visualize, analyze, and apply climate data, with R code featured in the book and both R and Python code available online. Exercises are provided at the end of each chapter with selected solutions available to students to aid self-study and further solutions provided online for instructors only. Additional online supplements to aid classroom teaching include datasets, images, and animations. Guidance is provided on how the book can support a variety of courses at different levels, making it a highly flexible text for undergraduate and graduate students, as well as researchers and professional climate scientists who need to refresh or modernize their quantitative skills.
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- Kort · Swish · Klarna · Faktura 30 dagar · Delbetalning
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- Omdöme
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- Frakt
- Frakt från 29 kr · fri frakt över 249 kr
- Leverans
- 2-3 vardagar. Levereras hem, till ombud eller till paketskåp. Skickas med Budbee eller Instabox.
- Betalning
- Kort · Swish · Klarna · Faktura 30 dagar · Delbetalning
- Öppet köp
- 30 dagars öppet köp
- Medlemskap
- Bokus Play · 5 % medlemsrabatt · fri frakt för medlemmar
- Omdöme
- 3.4 av 5 på Trustpilot (1 630 omdömen)
- Frakt
- Frakt från 39 kr · fri frakt över 249 kr
- Leverans
- 2-4 vardagar. Levereras hem eller till ombud. Skickas med PostNord.
- Betalning
- Kort · Swish · Klarna · Faktura 30 dagar · Delbetalning
- Öppet köp
- 30 dagars öppet köp
- Omdöme
- 4.2 av 5 på Trustpilot (451 omdömen)
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Om boken
This unique text provides a thorough, yet accessible, grounding in the mathematics, statistics, and programming that students need to master for coursework and research in climate science, meteorology, and oceanography. Assuming only high school mathematics, it presents carefully selected concepts and techniques in linear algebra, statistics, computing, calculus and differential equations within the context of real climate science examples. Computational techniques are integrated to demonstrate how to visualize, analyze, and apply climate data, with R code featured in the book and both R and Python code available online. Exercises are provided at the end of each chapter with selected solutions available to students to aid self-study and further solutions provided online for instructors only. Additional online supplements to aid classroom teaching include datasets, images, and animations. Guidance is provided on how the book can support a variety of courses at different levels, making it a highly flexible text for undergraduate and graduate students, as well as researchers and professional climate scientists who need to refresh or modernize their quantitative skills.
This unique text provides a thorough, yet accessible, grounding in the mathematics, statistics, and programming that students need to master for coursework and research in climate science, meteorology, and oceanography. Assuming only high school mathematics, it presents carefully selected concepts and techniques in linear algebra, statistics, computing, calculus and differential equations within the context of real climate science examples. Computational techniques are integrated to demonstrate how to visualize, analyze, and apply climate data, with R code featured in the book and both R and Python code available online. Exercises are provided at the end of each chapter with selected solutions available to students to aid self-study and further solutions provided online for instructors only. Additional online supplements to aid classroom teaching include datasets, images, and animations. Guidance is provided on how the book can support a variety of courses at different levels, making it a highly flexible text for undergraduate and graduate students, as well as researchers and professional climate scientists who need to refresh or modernize their quantitative skills.
Bokfakta
Författare
Samuel S. P. Shen
Förlag
Cambridge University Press
Utgivningsår
2019
Sidantal
456
Språk
Engelska
ISBN
9781108476874

