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Learn math wrong like the geniuses do by simplifying perspective
Jiaji Q.

29 hours tutoring

Your first lesson is backed by our Good Fit Guarantee

Hourly Rate: $45

About Jiaji


Bio

I will teach you how to oversimplify mathematical ideas in ways that are objectively wrong, but subjectively useful.

These methods will create a foundation for analogously reasoning that will bridge purely logical approaches. We will also attempt pictures and other forms of "reasoning" before we employ the boring and long rigorous, almost axiomatic logic.

We will learn a third view beyond viewing math as a theoretical discipline and as a practical toolkit for solving scientific and...

I will teach you how to oversimplify mathematical ideas in ways that are objectively wrong, but subjectively useful.

These methods will create a foundation for analogously reasoning that will bridge purely logical approaches. We will also attempt pictures and other forms of "reasoning" before we employ the boring and long rigorous, almost axiomatic logic.

We will learn a third view beyond viewing math as a theoretical discipline and as a practical toolkit for solving scientific and engineering problems. We shall learn how to play the math "game(s)."

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 for coding practice, specifically on scientific and mathematical coding-style problems.

Please note that I specialize in motivating STEM majors looking to transition towards their junior and senior years.


Education

Purdue University
Mathematics
Rutgers University
Masters
University of Washington
Masters

Policies

  • Hourly Rate: $45
  • Rate details: If we meet near UW, I don't charge an in-person fee.
  • Lesson cancellation: 12 hours notice required
  • No background check

  • Your first lesson is backed by our Good Fit Guarantee

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Approved Subjects

Calculus

Calculus

I am a PhD student in mathematics. I have completed many courses in calculus and analysis, taught calculus and am an active researcher in stochastic analysis. Not only that, I have also tutored Calculus at the high school and college level before at Huntington Learning Center and WSU.
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.
Python

Python

I used to be a quantitative researcher and hold a master's in financial math and also use Python regularly to code simulations of options prices. Moreover, I also have a Master's in applied math and have used Python regularly to do scientific computing. I have experience in scientific database and mathematical objects such as numpy, scipy and pandas but as well as ML and regression tools like scikit and sklearn.
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..
Algebra 1
Algebra 2
Finance
Linear Algebra
R
Statistics
Trigonometry
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Hourly Rate: $45
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