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Homework

My math homework from my undergraduate years at UW Madison as a math major. Math courses I've taken include:

Math 375 - Multivariable Calc and Linear alg

  • The first installment to the calc 3 + linear algebra sequence of the math major
  • Introduces proofs for the first time
  • Topic include: vector spaces, linear transformations, eigen decomposition, total derivatives, etc.

Math 376 - Multivariable Calc and Differential equations

  • The second installment to the calc 3 + linear algebra sequence of the math major
  • Topics include: multiple integrals, line/surface integrals, green and stokes theorem, gauss divergence theorem
  • Some ODE techniques are taught at the end

Math 431 - Probability Theory

  • Computational-based introduction to probability theory
  • Topics include: conditional probability, CLT, LLN, statisitical significance, etc.
  • MATH531 is a more rigorous alternative

Math 473 - History of Math

  • Historical runthrough of mathematical breakthroughs
  • Is a humanities class with a heavy emphasis on geometry
  • Topics include: the timeline of mathematics from pythagoras to projective geometry

Math 475 - Combinatorics

  • Semi-rigorous introduction to combinatorics
  • Topics include: counting, pigeonhole principle, recursion, sequences, a bit of group theory at the end

Math 521 - Real analysis I

  • Rigorous overhaul of continuity and real numbers
  • Defineds the entirety of calculus with topology
  • Topic includes: real number properties, topologies, compactness, differentiation, integration
  • It's calculus but on steroids

Math 541 - Modern algebra I

  • Rigorous overhaul of mathematical structures
  • Group and rings model symmetry and modular arithmetics respectively
  • Topics include: group theory (homomorphism theorems, quotient groups, group characterizations) and ring theory (different kinds of domains, CRT, polynomial rings)

Math 616 - Data Driven Dynamical Systems

  • Machine/data assisted computational introduction to SDEs
  • Programming heavy, python or R recommended
  • Topics include: Solving ODEs, markov chains, Ito's integral, Euler-maruyama method, kalman filtering, linear regression of SDE parameters

Math 632 - Stochastic Processes

  • Semi-rigorous introduction to markov chains
  • Topics include: markov chains and their properties (i.e. limit properties, continuity, martingales)

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