Jenna-Kainic

Take Class with:

Jenna K.

Jenna is a PhD candidate in mathematics at NYU. She recently graduated from Yale University, where she double majored in mathematics and philosophy. As an undergraduate, she cofounded a student group that works to alleviate barriers to access in STEM fields at Yale. Jenna assists students by presenting mathematical ideas in an approachable and intuitive way. She also builds student confidence for taking tests by teaching key strategies to help students perform at their very best.

Advanced Math Projects

$350 per student
  • Led by a pHD candidate in mathematics, this math course will focus on problem solving and logical reasoning skills, with a conceptual introduction to advanced math topics. Students will be encouraged to work together to reason through puzzles, solve competition-style problems, and explore informal proof methods. Depending on group interest, we may also discuss real-world applications in computer science. Welcome to the dynamic, colorful, and inspiring world of math!
  • WHAT WE COVER
  • What kinds of questions do mathematicians ask? What makes for an interesting math problem?
  • Playing strategy games: what makes for a good winning strategy? How do we know when there will be a winner or when there will be a stalemate? How do these games relate to math problems?
  • What kinds of math problems are easy for a computer to solve? What would make a math problem hard for a computer to solve?
  • What are symmetries? What sorts of things demonstrate symmetries? How do different kinds of symmetries interact with each other? Why would a mathematician care about symmetries?
  • Introductory graph theory: What is a graph? How can we tell when two graphs are equivalent? What is the Euler number of planar graphs and why? How can we use graphs to solve logic puzzles more easily?
  • What is the pigeonhole principle? How can we use it to solve logic puzzles? What does the pigeonhole principle tell us about the "size" of infinity?
  • Having fun with combinatorics puzzles and probability games.
  • Understanding the coronavirus better: What is exponential growth? How can graphs be used to understand pandemics? How do we read log linear graphs? How do we estimate the number of cases of a disease when we don't have perfect information?
  • What is a probability distribution? Why isn't the mean of a probability distribution enough information to understand it? How do we estimate the shape of a probability distribution from data samples?

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"[Your tutors] know their subjects inside and out and explain difficult/confusing material with great skill. They're also kind and patient and put students at ease. "

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