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Presented by Amanda Cangelosi
![]() Come see some old material presented in a new way, using manipulatives and emphasizing geometry. You just may be surprised and inspired. Thursday, March 29.
University Inn, 507.
12:00-1:30pm
![]() A panel discussion entitled
"Women in Math and Stat: Challenges and Opportunities" was well attended. Students and faculty enjoyed a boxed lunch as they listened to the panelist's reactions to the Time magazine article "The Math Myth," as well as panelist's experiences in their education and personal lives. We would like to give a special thank you to all of our panelists: Brynja Kohler, James Powell, Alia Criddle Maw, David Brown, Claudia Mora, and Andrea Bruder.
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![]() Ever wonder how Brynja Kohler juggles the roles of tenure-track professor and new mother? Or what Jim Powell thinks of the future opportunities for girls in mathematics as his daughters are growing closer to college age? On October 26th, you’ll get the chance to find out! The USU chapter of AWM is hosting a panel discussion “Women in Math & Stat: Challenges and Opportunities”, featuring Brynja Kohler
Each of our panelists brings a unique perspective on the challenges and opportunities for women in our fields. As you mark your calendars for the panel discussion and lunch, we encourage you to submit any other burning questions you have for our panelists by email to our moderator, Jessica Anderson:
janders@cc.usu.edu
Our first meeting of the new school year! Find out if you'd like to work with our newly elected officers on programs and publicity. Also find out what new faculty member John Stevens has to say about: Making the Most of Missing Data: A Story of Bugs Down Under The beetle Rhyzopertha dominica is a devastating pest of stored grain in Australia, and certain strains of this beetle have developed resistance to traditional fumigants. A recent study looked at determining the best dosage of the fumigant to kill the beetles. Different strains would require different dosages, but the researchers couldn't afford to classify all the beetles by strain, only those not killed by the fumigant - so they only had data for the survivors. I'll talk about how we would analyze the data if we could have afforded to collect them all, and then show how this problem can be solved using the structured nature of the missing data. The lesson here is that sometimes you don't need all of the data to tell the full story.
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