Jacobians and Multi-Group Models in Epidemiology
Compute and visualize SEIR and SIQR compartment-based models. Use first-order partial differential equations to model diseases, epidemics and pandemics in Wolfram Language. See example project ideas for further exploration. Download the Wolfram Language notebooks on the course page: https://www.wolfram.com/wolfram-u/cou... Get a free trial of Mathematica here: https://www.wolfram.com/mathematica/t... See more events: https://events.wolfram.com/?utm=YT-Wo... 0:00 Outline 0:44 Background Material 4:49 SEIR Model 21:48 SIQR Model 31:51 Ideas for Independent Work 34:38 Summary #wolfram #epidemiology #differentialequations #datascience #maths

▶︎
Enhancements to Time Series and Tabular Frameworks and New Model Fitting

▶︎
Wolfram Language for Python Users

▶︎
Overview of Version 15: Useful AI and New Core Functionality

▶︎
Chip design from the bottom up – Reiner Pope

▶︎
Databricks Live Bootcamp | Day1: Introduction & Data Analytics

▶︎
Creator of C++: Bell Labs, Negative Overhead Abstraction, Mistakes | Bjarne Stroustrup

▶︎
But what is a Laplace Transform?

▶︎
The Story of Conformal Gravity

▶︎
The French Do Not Care About Work

▶︎
What rebuilding AlphaGo teaches us about self-play, RL, and future of LLMs - Eric Jang

▶︎
But what is quantum computing? (Grover's Algorithm)

▶︎
Santo Rosário | Sexta-feira | 04:00 | 05/06/2026 | Live Ao vivo

▶︎
There Is Something Faster Than Light

▶︎
Co-Creator of Haskell: Functional Programming, Thinking in Types, Useless Languages | Simon Jones

▶︎
AlphaFold - The Most Useful Thing AI Has Ever Done

▶︎
The Physics of Euler's Formula | Laplace Transform Prelude

▶︎
The Hardest Questions in Physics | World Science Festival

▶︎
William Dunham, A tribute to Euler

▶︎
The World's Most Important Machine

▶︎
