Improve your productivity with Wolfram Technologies

Schedule

Held April 16
Applying Wolfram Technologies
in Industry
Applying Wolfram Technologies
in Education and Research

Words of Welcome

User-Friendly Computation: Predictive Interface and Natural Language Input

Mathematica for Teaching and Education

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Nick Gaskill
User-Friendly Computation: Predictive Interface and Natural Language Input
with Nick Gaskill

Get the inside scoop on the newest technologies Wolfram is using to make working with Mathematica easier. The Wolfram Predictive Interface, units support, and Wolfram|Alpha integration all combine to enable efficient use of Mathematica with even fewer lines of code. We will present techniques for using the Predictive Interface to build up computations interactively without needing to consult the documentation. Also covered are built-in support for units, which makes use of Mathematica's integration with Wolfram|Alpha, and using Mathematica to retrieve any other type of data from Wolfram|Alpha.

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Kelvin Mischo
Mathematica for Teaching and Education
with Kelvin Mischo

Learn how to improve your classroom experience with Mathematica. This talk gives a tour of functionality relevant to teaching and learning, along with case studies and best-practice suggestions for course integration. Topics include making your classroom dynamic with interactive models and a survey of computation and visualization capabilities useful for teaching practically any subject at any level.

Mathematica for Data Science

CDF and EnterpriseCDF for Sharing Applications

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Dillon Tracy
Mathematica for Data Science
with Dillon Tracy

Mathematica's integrated environment makes it an efficient tool for both analyzing and presenting data. This talk will cover aspects of Mathematica relevant to analytics, including statistical computation, interactive visualization, data import/export, connectivity with other languages and runtimes, out-of-core processing, packages for interacting with parallelization frameworks like Hadoop, and automatic generation of reports.

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Michael Morrison
CDF and EnterpriseCDF for Sharing Applications
with Michael Morrison

The Computable Document Format (CDF) brings documents to life with the power of computation. This talk will tell you what it is and why it is important. It will show you the entire process for creating and sharing interactive content, including creating and deploying a FreeCDF. We will also showcase how Mathematica Enterprise Edition simplifies the process and reduces work. Some examples of creating and deploying EnterpriseCDF applications as well as pricing and licensing options will also be discussed.

Open Chat with Wolfram Experts

Open Chat with Wolfram Experts

Link Technologies with Mathematica

Visualizing SystemModeler Simulation Results with Mathematica

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Mili Vishwakarma
Link Technologies with Mathematica
with Mili Vishwakarma

This talk explores how Mathematica connects to external programs using MathLink. It further covers briefly some of the other technologies built on top of MathLink like J/Link, NET/Link, DatabaseLink, and LibraryLink. A short introduction to BloombergLink and RLink is also provided.

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Johan Rhodin
Visualizing SystemModeler Simulation Results with Mathematica
with Johan Rhodin

This talk will show examples of how models and simulation results from Wolfram SystemModeler can be visualized in Mathematica. Examples include heat loss, batteries, satellite controls, solenoid circuits, and more.

Wolfram SystemModeler: Modeling Safety-Critical Systems

Utilizing HPC and Grid Computing in Education

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Olle Isaksson
Wolfram SystemModeler: Modeling Safety-Critical Systems
with Olle Isaksson

This talk takes a closer look at an aircraft flap system, showing how component faults can be modeled and how their effects on system behavior can be simulated.

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Kelvin Mischo
Utilizing HPC and Grid Computing in Education
with Kelvin Mischo

This talk provides an introduction to the HPC and grid computing functionality in Mathematica for use with a cluster or on multicore machines. You'll learn how to get the most out of the computing kernels available to you and why you never have to choose between speed and accuracy. We'll look at a few examples, discuss applications within education work groups, and learn possible ways to scale across available clusters or machines.

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