Welcome to AMS
W e l c o m e  t o  A M S

Upcoming Events

Sat., Nov. 22: 8:00am - 2:30pm
Preview Mines
Be sure to stop by the AMS booth with any mathematics or statistics questions you have!
Check-In: Green Ctr Lobby

Wed., Nov. 26 - Fri., Nov. 28: 
Thanksgiving Break
Everyone have a safe and enjoyable Thanksgiving break!

The AMS Department currently has the following openings

Interested in math or statistics but just not sure where to go from here?
Explore the possibilities:    

Careers in Math or Statistics       Majoring in Applied Mathematics       Majoring in Statistics

Math/Stat Moments

The Math on Ebola


It's all over the news at levels that range from cautious optimism to zombie apocalypse -- Ebola in America!  Yes, it's only Texas and yes, it has been contained... we think, but what's the truth?  Let's see what mathematics says about the situation.

According to Dr. Lauren Ancel Meyers, professor of integrative biology at UT-Austin, and a pioneer of mathematical modeling of infectious diseases, "There doesn't seem to be a real threat of large epidemic in the United States".  What does she base this on?... the math.

The average number of secondary infections caused by each case gives a measure for projecting the growth of outbreaks assuming no intervention.  This, in turn, can be used to gauge the extent of intervention necessary.  Ebola's number is around 2 which is slightly higher than the flu but far less than measles (which is higher than 10).

So, breathe easy... just not in this direction.

For information on Ebola, check the World Health Organization's fact sheet.

For information on mathematical modeling of infectious diseases, click here or, check with one of our own, Prof. Steve Pankavich who is currently working on a venture with the Center for Cell and Virus Theory.

For more of this article, click here

Spotlight on AMS

Professor Receives DOE Funding

A CSM-led research team with principal investigator Paul Constantine has been funded by the U.S. Department of Energy's Advanced Scientific Computing Research program to improve the capabilities of data-intensive physical simulations such as climate simulations.  Constantine's team will apply the methods they develop to real inverse problems in chemical kinetics and turbulent flame modeling.

Check out the opportunities inside AMS or Ask Us if you have any questions.

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