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Math in the City

Math in the City

I hear and I forget
I see and I remember
I do and I understand. (Chinese Proverb)

Math in the City is an interdisciplinary course in which students engage in a hands-on learning experience using mathematical modeling to understand current major societal issues of local and national interest. The course is run in collaboration with local businesses, research centers and government organizations that provide data and act as consultants throughout the course thus creating strong connections between academia and industry, while engaging students in a learning and discovery process. More...


Math in the City Materials

Course Offerings

Math in the City Workshops

The workshop this year will be held Thursday and Friday December 5-6, 2013.

Student Feedback

I liked the fact that we didn't know what we were capable of doing until we did it.

Have fun and enjoy the experience because although at times the course may seem stressful or like a lot, in the end it really pays off and is a great experience and something totally different from anything you've ever done in a course before. Being able to get up there and present at the workshop and feel confident in your results and your project is the best feeling ever.

How to value different raw data is one of the most important skills I learned. I also gained some skills to pick and choose goals that are reachable from goals that cannot be finished.

No specific answer to the problems. Instead of like a normal textbook, you just open up the back to see if you got it right, in this course you have to decide if you think it is right or not.

Experience working with a group on a much larger project than what could be done by an individual.

It made you think. A lot.

Contact

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We acknowledge the support of the National Science Foundation through award DUE-0941132. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

PI: Petronela Radu (pradu[AT]math.unl.edu) and Co-PI: Stephen Hartke (hartke[AT]math.unl.edu)