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Friday, May 31 • 1:30pm - 4:00pm
Solving Math Problems Iteratively

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In general, an iterative approach to solving a math problem is one where it’s necessary to repeat a calculation many times (i.e. iterations). One example is iteration to solve an equation. Another example is numerical integration. However, in this workshop we will learn an iterative approach for calculating probability. This approach allows students to ask and answer interesting questions that may not otherwise be solvable. It inspires curiosity and creative problem solving, and it extends the kinds of projects students can do. Furthermore, it gives students a glimpse into numerical methods used to solve the most complex problems in STEM. 

No previous coding experience is necessary, and many resources are provided. Bring a laptop and expect to have fun.
Featured Speakers
avatar for Aaron Titus

Aaron Titus

Teaching Professor, Department of Physics, North Carolina State University
Aaron Titus is a Teaching Professor in the Department of Physics at North Carolina State University. Aaron’s contributions are at the intersection of undergraduate research, educational technology, computational physics, leadership, and student mentoring. In 1997, Aaron and Larry... Read More →

Friday May 31, 2024 1:30pm - 4:00pm CDT
  Workshop

Attendees (8)