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Sinopsis
This book reviews math topics relevant to non-mathematics students and scientists, but which they may not have seen or studied for a while. These math issues can range from reading mathematical symbols, to using complex numbers, dealing with equations involved in calculating medication equivalents, the General Linear Model (GLM) used in e.g. neuroimaging analysis, finding the minimum of a function, independent component analysis, or filtering approaches. Almost every student or scientist, will at some point run into mathematical formulas or ideas in scientific papers that may be hard to understand, given that formal math education may be some years ago. In this book we will explain the theory behind many of these mathematical ideas and expressions and provide readers with the tools to better understand them. We will revisit high school mathematics and extend and relate this to the mathematics you need to understand the math you may encounter in the course of your research. This book will help you understand the math and formulas in the scientific papers you read. To achieve this goal, each chapter mixes theory with practical pen-and-paper exercises such that you (re)gain experience with solving math problems yourself. Mnemonics will be taught whenever possible. To clarify the math and help readers apply it, each chapter provides real-world and scientific examples.
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Acerca del autor
Natasha Maurits is professor of Clinical Neuroengineering at the University Medical Center Groningen in the Netherlands. She is an applied mathematician by training and has experience in explaining mathematics to non-mathematicians, from children to adults, for over 20 years. She can explain mathematics in intuitive ways, avoiding formulas as much as possible. This approach is highly valued by her students. Bridging the gap between mathematics and other scientific fields is now her daily bread and butter, working as a mathematician in a hospital, and she enjoys explaining the use and beauty of mathematics.
Branislava Ćurčić-Blake works as an Assistant Professor in neuroscience and cognitive neuropsychiatry at the University Medical Center Groningen in the Netherlands. She has trained as an experimental physicist (a study with a firm basis in mathematics) and did a PhD in neurobiophysics. Starting as a student and throughout her professional career, she has taught primary, high school, master and PhD students the intricacies of mathematics and physics, often motivating them to study these subjects independently with renewed interest.
De la contraportada
Accessible and comprehensive, this guide is an indispensable tool for anyone in the sciences – new and established researchers, students and scientists – looking either to refresh their math skills or to prepare for the broad range of math, statistical and data-related challenges they are likely to encounter in their work or studies.
In addition to helping scientists improve their knowledge of key mathematical concepts, this unique book will help readers:
· Read mathematical symbols
· Understand formulas, data or statistical information
· Determine medication equivalents
· Analyze neuroimaging
Mathematical concepts are presented alongside illustrative and useful real-world scientific examples and are further clarified through practical pen-and-paper exercises. Whether you are a student encountering high-level mathematics in your research or a seasoned scientist looking to refresh or strengthen your understanding, Math for Scientists: Refreshing the Essentials will be the book you reach for again and again.
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Math for Scientists: Refreshing the Essentials
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Math for Scientists: Refreshing the Essentials
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Math for Scientists: Refreshing the Essentials
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book reviews math topics relevant to non-mathematics students and scientists, but which they may not have seen or studied for a while. These math issues can range from reading mathematical symbols, to using complex numbers, dealing with equations involved in calculating medication equivalents, the General Linear Model (GLM) used in e.g. neuroimaging analysis, finding the minimum of a function, independent component analysis, or filtering approaches. Almost every student or scientist, will at some point run into mathematical formulas or ideas in scientific papers that may be hard to understand, given that formal math education may be some years ago. In this book we will explain the theory behind many of these mathematical ideas and expressions and provide readers with the tools to better understand them. We will revisit high school mathematics and extend and relate this to the mathematics you need to understand the math you may encounter in the course of your research. This book will help you understand the math and formulas in the scientific papers you read. To achieve this goal, each chapter mixes theory with practical pen-and-paper exercises such that you (re)gain experience with solving math problems yourself. Mnemonics will be taught whenever possible. To clarify the math and help readers apply it, each chapter provides real-world and scientific examples. 233 pp. Englisch. Nº de ref. del artículo: 9783319573533
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Math for Scientists
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Natasha Maurits is professor of Clinical Neuroengineering at the University Medical Center Groningen in the Netherlands. She is an applied mathematician by training and has experience in explaining mathematics to non-mathematicians, from children to adults,. Nº de ref. del artículo: 147656748
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Math for Scientists : Refreshing the Essentials
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ISBN 10: 3319573535
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reviews math topics relevant to non-mathematics students and scientists, but which they may not have seen or studied for a while. These math issues can range from reading mathematical symbols, to using complex numbers, dealing with equations involved in calculating medication equivalents, the General Linear Model (GLM) used in e.g. neuroimaging analysis, finding the minimum of a function, independent component analysis, or filtering approaches. Almost every student or scientist, will at some point run into mathematical formulas or ideas in scientific papers that may be hard to understand, given that formal math education may be some years ago. In this book we will explain the theory behind many of these mathematical ideas and expressions and provide readers with the tools to better understand them. We will revisit high school mathematics and extend and relate this to the mathematics you need to understand the math you may encounter in the course of your research. This book will help you understand the math and formulas in the scientific papers you read. To achieve this goal, each chapter mixes theory with practical pen-and-paper exercises such that you (re)gain experience with solving math problems yourself. Mnemonics will be taught whenever possible. To clarify the math and help readers apply it, each chapter provides real-world and scientific examples. Nº de ref. del artículo: 9783319573533
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