Wolfram U

STEM Classroom

Knowledge-based computing can be used by students, instructors and developers to integrate computational learning into the STEM classroom as well as other course subjects. Find examples of interactive demonstrations and computation with real-world data.

These courses show how the Wolfram technology stack, with its expansive collection of Wolfram Language built-in functions, its curated knowledgebase and the interactive notebook interface, can be used to build student understanding, computational skills and an improved learning experience. Certification opportunities are available for proficiency in STEM subject areas as well as for completion of specific courses.

Upcoming Events

  • Apr 12 | Online

    Ecology and Environmental Science Modeling in Wolfram Language 

    Computational modeling of complex systems is central to contemporary studies of the natural sciences. This online event offers a unique workshop experience for students, educators and anyone keen on exploring the intersection of ecology and environmental science with computational modeling.

  • May 2 | Online

    Wolfram Notebooks: Building and Sharing Technical Workflows

    In this course you will learn how to create Wolfram Notebooks, interactive and powerful computational documents. This course shows how you can combine Wolfram Language with the notebook interface to express your ideas and develop technical workflows for data science, modeling, research, education and more.

  • May 9 | Online

    Notebooks as Instructional Tools

    This course explores the versatility of Wolfram Notebooks for teaching and learning. See how you can use notebooks to learn to code and work with and transfer data, as well as create interactive content to use in instructional environments.

  • May 16 | Online

    Computational Xplorations

    This free, introductory course demonstrates how to interactively explore nearly any field using computation. See how computational thinking—a modern blend of critical analysis and information processing—is being applied to a range of disciplines not traditionally associated with coding