Notes

For notes I’ve taken at USC or at Duke, see the list below.

Disclaimer: most of these have not been proofread, so please expect random typos.

USC (graduate-level courses start at 500-level)

• Spring 2021
  • MATH-410, (undergrad) modern algebra [link]
  • MATH-425B, (undergrad) real analysis II [link]
  • MATH-501, numerical analysis [link]
• Summer 2021
  • MATH-425A, (undergrad) real analysis I [link]
• Fall 2021
  • MATH-408, (undergrad) mathematical statistics [link]
  • MATH-525A, measure theory I [link]
  • MATH-580, functional analysis [link]
• Spring 2022
  • MATH-541A, mathematical statistics [link]
• Fall 2022
  • CSCI-270, (undergrad) algorithms [link]
  • CSCI-567, maching learning [link]
  • MATH-507, measure-theoretic probability theory [link]
• Less Organized Notes

  • MATH-580 (Winter 2020), functional analysis (audited; see Fa21) [link]
  • MATH-407 (Spring 2021), (undergrad) probability theory [link]
  • MATH-520 (Spring 2022), complex analysis [link]

Duke

• CPS 532 (Fall 2024), graduate algorithms taught by Professor Pankaj Agarwal [link]
• CPS 632 (Fall 2024), approximation algorithms taught by Professor Debmalya Panigrahi [link]
• I also took randomized (630, Kamesh) and geometric (634, Pankaj) and typed notes occasionally, but was too lazy to organize them into big files. :')