

Learn how to make your classroom dynamic with interactive models, explore computation and visualization capabilities in Mathematica that make it useful for teaching practically any subject at any level, and get best-practice suggestions for course integration.


This course provides a whirlwind tour of Mathematica key features, including dynamic interactivity, natural language input, and numerical/symbolic computation, as well as applications in image processing, control systems, GPU computation, and more.Įxplore new functionality in Mathematica 11, including 3D printing, audio processing, machine learning, and neural networks.Īccess step-by-step instructions ranging from how to create animations to basic syntax information.ĭozens of courses covering the Wolfram language, data science, education, engineering and more.Ī public resource that hosts an expanding collection of contributed standalone functions that can be used in any Wolfram Language computation.Ī collection of repositories and archives. Provides a list of new functionality in Mathematica 11, and links to documentation and examples for these new features-including 3D printing, audio processing, machine learning and neural networks, and text and language processing.Īccess step-by-step instructions ranging from how to create animations to basic syntax information.īrowse Wolfram's large collection of learning materials and support resources.Follow along in Mathematica as you watch this multi-part screencast that teaches you the basics-how to create your first notebook, calculations, visualizations, interactive examples, and more. Use this tutorial to learn about solving math problems in the Wolfram Language-from basic arithmetic to integral calculus and beyond.
