Climate Change Education Across the Curricula, Across the Globe

Climate Change Education Across the Curricula

Mathematics and Statistics

Topics in Mathematics and Statistics: –

Algebra
Calculus
Climate Change Overview
Computer Programming
Confidence Interval
Differentiation
Functions		Integration
Introduction to Statistics
Linear Regression
Mathematical Modeling
Mean Median Mode
Numerical Modeling		Polynomial Differentiation
Probability
Quadratic Regression
Reimann Sums
Standard Deviation
Trend Analysis
Trigonometry
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E-Learning Course: Climate Change- A Guide For Teachers Of All Disciplines
Two E-learning courses (MOOCs) developed by Rahul Chopra, TROP ICSU and IISER Pune on Climate Change: Science, Impacts, and Policy and Teaching Climate Change. These courses were developed through the National Resource Centre (NRC) on
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Teaching Module: Teach Climate Science with the Teacher Friendly Guide To Climate Change™
A teaching module of resources and activities that accompanies ‘The Teacher-Friendly Guide™ to Climate Change’ edited by Ingrid H. H. Zabel, Don Duggan-Haas, & Robert M. Ross,the Paleontological Research Institution. This teaching module includes videos
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Reading: Climate Change- The Teacher Friendly Guide™
A reading titled ‘The Teacher Friendly Guide to Climate Change’ edited by Ingrid H. H. Zabel, Don Duggan-Haas, & Robert M. Ross,the Paleontological Research Institution. This book includes the following chapters Why Teach About Climate
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E-Learning Courses on Climate Change
Series of two E-Learning Courses on Introduction to Climate Change and Climate Science Following are two online courses in Climate Change and Climate Science by the National Resource Centre (NRC) on Climate Change at the
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Reading: Teaching Climate Change in the Mathematics Classroom
An article by Richard Barwell, University of Ottawa titled ’Climate change in the mathematics classroom: a local approach to a global challenge’ that describes how mathematics teachers can prepare their students to engage with climate
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Reading: Climate Change Mathematics
A reading by Chris Budd, University of Bath titled ‘The Mathematics of Climate Change’ that discusses the use of mathematical concepts and techniques to address climate change. The reading demonstrates the use of mathematical modelling,
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Video/Microlecture: Climate Change: The Math Connection
A video lecture by Chris Budd, University of Bath titled ‘The Mathematics of Climate Change’ that discusses how mathematics helps in understanding the Earth’s climate, climate change and in predicting future climate change. This video
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Reading (Teaching Manual): Algebra and Climate
A teaching manual for instructors that integrates sustainability themes with mathematics topics for courses or projects in algebra, pre-calculus, or math for liberal arts. These modules, which include exercises and research questions, cover the following
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Teaching Module: Climate Change Mathematics by NASA
A teaching module by NASA makes the use of basic mathematics, algebra, geometry, trigonometric functions and statistics to understand earth science and climate change. This teaching module consists of a range of topics, for different
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E-learning Course: Build Climate Models using Python
An e-learning course to create climate models in Python through hands-on programming exercises. Students will use Python to model energy balance; ice-albedo feedback; ice sheet dynamics; and pressure, rotation, and fluid flow. Use this tool
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Teaching Module: Analyzing Climate Science Data through Simple Statistical Techniques
A teaching module that demonstrates the use of linear and quadratic regression to analyze Arctic sea ice extent data and the use of graphs, sample correlations, and multiple regression to analyze atmospheric CO2 level data,
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Classroom/Laboratory Activity: Using Introductory Calculus (Integration) to Analyze CO2 Emission Data
A classroom/laboratory activity to analyze CO2 emissions data by using Riemann sums for the calculation of area under the curve. Students will use calculate and compare CO2 emissions for the U.S. and China, based on
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