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Learn math like the geniuses do by building perspective not memorizing
Jiaji Q.

6 hours tutoring

Your first lesson is backed by our Good Fit Guarantee

Hourly Rate: $50

About Jiaji


Bio

I am currently an Applied Mathematics graduate student, about to graduate with a Master's degree, and currently working on pursuing a PhD in applied mathematics. I have experience not only working with the theory behind math, but also various applications and constructions in science and coding.

My method of teaching is a little unorthodox, but in my view, highly effective.

As I view math as both a theoretical discipline and a practical toolkit for solving real-world scientific and...

I am currently an Applied Mathematics graduate student, about to graduate with a Master's degree, and currently working on pursuing a PhD in applied mathematics. I have experience not only working with the theory behind math, but also various applications and constructions in science and coding.

My method of teaching is a little unorthodox, but in my view, highly effective.

As I view math as both a theoretical discipline and a practical toolkit for solving real-world scientific and engineering problems, we may attempt to find analogies, charts and visuals before or as we attempt to reason through the problem. If we get really stuck, I may even code up (or ask us to have ChatGPT to code up) some numerical simulations for us to really get a feel for how things work! The lesson of AI in education isn't that we should not utilize new technology -- the point is that we shouldn't **abuse** it at the detriment of our own understanding.

From this interdisciplinary approach, I attempt to locate math in a world we're already familiar with. Instead of pretending like math is some dusty professor trying to intuit the facts of mathematics from an invisible Platonic heaven, we're actively discovering mathematical facts by way of exploration of physical and mental patterns, argument by analogy, spatial and physical reasoning, as well as the tools of computer simulation!

My teaching specialties include the subjects of (this is not a fully comprehensive list): calculus 1-3, complex variables, linear algebra, probability theory, statistics, numerical analysis, ordinary/partial differential equations, and real analysis. I also teach Python and MATLAB for coding practice, specifically on scientific and mathematical coding-style problems.

Please note that I specialize in helping motivate high school students for college-level math or for STEM majors looking to transition towards their junior and senior years. Middle school students may reach out to me as well, but know these are my specialties!


Education

Purdue University
Mathematics
Rutgers University
Masters
University of Washington
Masters

Policies

  • Hourly Rate: $50
  • Rate details: If we meet near UW, I don't charge an in-person fee.
  • Lesson cancellation: 4 hours notice required
  • No background check

  • Your first lesson is backed by our Good Fit Guarantee

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Approved Subjects

Differential Equations

Differential Equations

PhD student in applied math that regularly uses numerical analysis for ODEs and PDEs, as well as SDEs.
Discrete Math

Discrete Math

I hold a Master’s degree in Applied Mathematics as well as a bachelor's in math. I have experience tutoring discrete mathematics, especially w.r.t college-level logic, proofs, combinatorics and graph theory. I also use some advanced graph theory and combinatorics in my own research, as a probability specialist.
Logic

Logic

I have a Master's in applied math, and I have a bachelor's in math/philosophy. I have taught and tutored several students in Intro to proof writing in mathematics, focusing specifically on proofs and logic used in the context of real analysis. I've also taken a graduate-level logic course in first-order logic and metalogic as well as basic courses in propositional logic. I can teach any level of basic propositional logic and metatheory.
Philosophy

Philosophy

I completed graduate-level coursework in Philosophy, specializing in strains of both analytic and continental philosophy and I hold a bachelors degree in philosophy (PhD dropout).
Probability

Probability

My PhD research topic is probability and stochastic analysis. I've taken over 6 PhD+ level courses in probability and specialize in teaching undergrad probability.
Real Analysis

Real Analysis

I am starting a PhD in applied mathematics soon and completing a Master's. I have taken several courses in real analysis including courses in measure theory and integration. I am familiar with much of the content in Rudin's baby book as well as Folland's book at the graduate level. I've also applied much of real analysis for tools in PDE theory and probability theory for my own research, including concepts like uniform convergence, distribution theory, etc..
R
Statistics
Trigonometry
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