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Overview

This section contains my personal thoughts and notes of the many courses I have taken across a variety of disciplines, both from the perspective as one taking the course, and as one who has helped teach the course to some extent. These notes are by no means complete, yet they should assist the reader in understanding from a different perspective, the fundamental ideas the authors try to convey. Additionally, there will be some notes on some other readings, which may or may not be used by a course.

List of Topics

  • Efficient Algorithms and Intractable Problems
  • Introduction to Probability and Random Processes
  • Introduction to Statistical Inference
  • Bayesian Statistics
  • Elements of Programming Interviews (Python)
  • Introduction to Elementary Analysis