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Environmental Applications of GIS
Conditional Remix & Share Permitted
CC BY-NC-SA
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Increasingly volatile climate and weather; vulnerable drinking water supplies; shrinking wildlife habitats; widespread deforestation due to energy and food production. These are examples of environmental challenges that are of critical importance in our world, both in far away places and close to home, and are particularly well suited to inquiry using geographic information systems. In GEOG 487 you will explore topics like these and learn about data and spatial analysis techniques commonly employed in environmental applications. After taking this course you will be equipped with relevant analytical approaches and tools that you can readily apply to your own environmental contexts.

Subject:
Applied Science
Environmental Science
Information Science
Physical Geography
Physical Science
Material Type:
Full Course
Provider:
Penn State College of Earth and Mineral Sciences
Author:
Rachel Kornak
Date Added:
10/07/2019
Numerical Methods for Ordinary Differential Equations
Unrestricted Use
CC BY
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In this book we discuss several numerical methods for solving ordinary differential equations. We emphasize the aspects that play an important role in practical problems. We confine ourselves to ordinary differential equations with the exception of the last chapter in which we discuss the heat equation, a parabolic partial differential equation. The techniques discussed in the intro-ductory chapters, for instance interpolation, numerical quadrature and the solution to nonlinear equations, may also be used outside the context of differential equations. They have been in-cluded to make the book self-contained as far as the numerical aspects are concerned. Chapters, sections and exercises marked with a * are not part of the Delft Institutional Package.
The numerical examples in this book were implemented in Matlab, but also Python or any other programming language could be used. A list of references to background knowledge and related literature can be found at the end of this book. Extra information about this course can be found at http://NMODE.ewi.tudelft.nl, among which old exams, answers to the exercises, and a link to an online education platform. We thank Matthias Moller for his thorough reading of the draft of this book and his helpful suggestions.

Subject:
Mathematics
Material Type:
Textbook
Provider:
Delft University of Technology
Author:
Fred Vermolen
Kees Vuik
Martin van Gijzen
Thea Vuik
Date Added:
02/13/2023
When Should I Drink My Hot Chocolate?
Read the Fine Print
Educational Use
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Students act as food science engineers as they explore and apply their understanding of cooling rate and specific heat capacity by completing two separate, but interconnected, tasks. In Part 1, student groups conduct an experiment to explore the cooling rate of a cup of hot chocolate. They collect and graph data to create a mathematical model that represents the cooling rate, and use an exponential decay regression to determine how long a person should wait to drink the cup of hot chocolate at an optimal temperature. In Part 2, students investigate the specific heat capacity of the hot chocolate. They determine how much energy is needed to heat the hot chocolate to an optimal temperature after it has cooled to room temperature. Two activity-guiding worksheets are included.

Subject:
Algebra
Chemistry
Mathematics
Physical Science
Statistics and Probability
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
TeachEngineering
Author:
Brian Palacios
Date Added:
02/17/2017