Social media platforms are a rich source for data. The University of Michigan collects data with the Twitter Decahose, maintaining an archive of 10% of tweets made from the past decade. This collection is maintained in collaboration by MIDAS, CSCAR and ARC. This workshop covers what the Twitter Decahose is, the process to obtain access, […]
Exchanging ideas in numerical analysis, scientific computing and related application areas.
The SIAM student chapter at the University of Michigan is hosting its 3rd Annual Student Mini-symposium in Applied Mathematics. This event will allow students from different disciplines in the area to see what is being done in the field and promote interest in applied mathematics in general. This event is open to all graduate students […]
There's a ton of data on the web! You can collect it by using "web scraping!" But what is web scraping? And how do you do it? This workshop is a beginner's guide to web scraping and how to get started using Python and the BeautifulSoup library. Attendees will leave with a better understanding of […]
Save the Date! After a 2-year wait, the 2022 MICDE Annual Symposium will take place on Fri., October 21, 2022. The symposium will feature prominent scientists that are driving Features speakers will be posted soon.
This three-part workshop will give an overview of the Julia language for conducting data analyses and managing data. The workshop assumes no prior experience with Julia, but participants should have prior programming experience with a language such as Python, R, or Matlab. The format of the workshop is lecture/discussion but participants may bring a laptop […]
This three-part workshop will give an overview of the Julia language for conducting data analyses and managing data. The workshop assumes no prior experience with Julia, but participants should have prior programming experience with a language such as Python, R, or Matlab. The format of the workshop is lecture/discussion but participants may bring a laptop […]
This three-part workshop will give an overview of the Julia language for conducting data analyses and managing data. The workshop assumes no prior experience with Julia, but participants should have prior programming experience with a language such as Python, R, or Matlab. The format of the workshop is lecture/discussion but participants may bring a laptop […]
THE ARPA-E GRID OPTIMIZATION COMPETITION
Mechanics of Hierarchical Porous Materials.