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
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
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
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
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
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,
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
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
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
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
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,
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
This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.
Strictly Necessary Cookies
Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.
If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.