Wolfram Screencast & Video Gallery

This page requires that JavaScript be enabled in your browser.
Learn how »

Mathematica for Engineering Education

This Wolfram Mathematica Virtual Conference 2011 course gives educators an overall picture of how Mathematica can benefit an engineering curriculum with examples of modeling, simulation, visualization, and document creation.

Was this video helpful?

Channels: Virtual Events

SORT BY: Latest | A-Z
701 videos match your search.
Data Science Case Studies - Public Relations Analysis and Automotive Performance Analysis 221:40
Dylan Boliske & Andrew Steinacher
Going from Raw to Computable Data: The Art of Data Curation92:05
Aaron Enright
Revisiting the Multiparadigm Data Science Workflow: Analyze and Communicate, Part 117:45
Abrita Chakravarty
Revisiting the Multiparadigm Data Science Workflow: Analyze and Communicate, Part 258:15
Abrita Chakravarty
Applications of Neural Networks 231:37
Tuseeta Banerjee
Creating Compelling Reports and Deploying to the Cloud, Part 164:20
Chad Knutson
Mathematica: Une Introduction - Partie 264:10
Cette deuxième partie de notre introduction à Mathematica est dédiée aux calculs mathématiques, à la visualisation et à l’interactivité. Elle couvrira les nombres et la precision; le calcul ...
Creating Compelling Reports and Deploying to the Cloud, Part 271:22
Chad Knutson
Creating Compelling Reports and Deploying to the Cloud, Part 32:33
Chad Knutson
Mathematica: Une Introduction - Partie 153:32
Cette premiere partie se focalise sur les principes fondamentaux du langage Wolfram et la syntaxe élémentaire. Vous apprendrez comment évaluer le langage, faire des affectations et définir des ...
Data Science Case Study: Meal Tracking and Cloud Surveys 207:48
Andrew Steinacher
Small-Group Multiparadigm Data Science Projects 117:16
Abrita Chakravarty
Visualization Techniques and Trends 53:52
Brett Champion
Architecture of Modern Machine Learning, Part 1132:29
Etienne Bernard
Architecture of Modern Machine Learning, Part 257:16
Etienne Bernard
Architecture of Modern Machine Learning, Part 315:47
Etienne Bernard
Statistical Tools for Data Science, Part 1124:33
Gosia Konwerska
Stephen Wolfram's Data Science Boot Camp Message48:45
Stephen Wolfram
Sharing of computational essays 231:32
Blockchain Technology57:21
Christian Pasquel