UC Berkeley

ME C85: Introduction to Solid Mechanics

A course that can seem simple yet surprisingly difficult, ME C85 either confirmed or corrected much of my engineering intuition; becoming one of my favorite classes of all time in the process.

CS61B: Data structures and Algorithms

61B taught me three things: Despite my thinking otherwise, I knew next to nothing about CS. Data structures and algorithms are beautiful as much as they are complex. And, CS at Berkeley lives up to its reputation of mind-numbing difficulty. This class made me WORK!

E27: Introduction to Manufacturing and Tolerancing

E27 is basically the “How It’s Made” of engineering courses. Consumer culture requires manufacturing, and manufacturing requires precision! Unfortunately, much of the value from this class was diminished due to a remote learning environment.

Stat 88: Probability and Mathematical Statistics in Data Science

Once more, this is a class I wish I had taken much earlier in life. Anyone who asks “how will I ever apply math to my daily life?” has probably never taken Statistics. Through this course, I recalled hundreds of times where knowing a certain distribution would have enlightened my decision making.

Econ 1: Introduction to Economics

Oh yes, Economics. The class on how to make money? The class on wealth distribution and social structure? The class on number crunching and graph reading? Nope. More like the class on common-sense decision making… and taking this class was a marginally questionable decision.

CS70: Discrete Mathematics and Probability Theory

Do not judge this book by its cover. CS70 requires no knowledge of programming languages. The only language necessary is math, the universal language and the code to our simulated reality. I have never taken a class that has made me THINK as hard, but WORK as little.