"Mathematica" in Education & Research

Join Chris Roney from Wolfram Research, Inc. for this informative presentation about the capabilities of Mathematica 11 and other Wolfram technologies that are directly applicable for use in teaching and research on campus.

Topics include:

• Using everyday English as input for calculations.
• 3-D printing.
• Text scraping, web scraping, and pattern matching.
• Utilizing the built-in tutorial/learning platform.
• Big data, data analytics, and 2-D/3-D data visualization.
• Storing and sharing documents locally or in the Wolfram Cloud.
• Using the predictive interface to get suggestions for the next useful calculation.
• Accessing trillions of bits of on-demand data.
• Using semantic import to enrich your data using Wolfram-curated data.
• Turning static examples into mouse-driven, dynamic applications.
• 11,000 free course-ready demonstrations.
• Wolfram Language's wide scope of built-in functions and how to create your own.
• Support for specialized areas including machine learning, time series, image processing, parallelization, and control systems, with no add-ons required.

Current users will benefit from seeing the many improvements and new features of Mathematica 11, but prior knowledge of Mathematica is not required.