Tag: princeton (Page 1 of 2)

A Taylor approximation approach to learning

Since I’ve recently graduated from university this past June, I’ve been doing a lot of thinking regarding my learning — both in and out of the classroom setting. I’ve done a lot of writing about learning, ranging from best practices for learning different subjects, utilizing the interdisciplinary nature of knowledge to enjoy learning more, and much more. One thing related to learning that I have not adequately touched upon is my perspectives on “institutional” learning.

Simply put, there’s a large amount of undue complexity presented upon the initial introduction of many topics, sacrificing understanding in favor of rigor; this is something that academic pedagogy is especially guilty of. This learning methodology is the fastest way to destroy any interest or passion towards a topic, whereby you first by cover all definitions in painstaking detail, then proceed to some etymological or historical exposition about the topic, then if you’re lucky, finally end with some convoluted tangential examples (call this School A). In contrast, I find that there is tremendous value for students, where concepts and topics are introduced from a high-level and paired with a variety of analogies to aid in understanding (call this School B).

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Pursuing interesting conversations

Judging from the sheer amount of lectures, conferences, and panels that I’ve attended and taken notes for, you can tell that I really enjoy reaching out to people and learning about their stories. As a result, a bunch of people have asked me the same question: Why do you put such an emphasis on meeting and having conversations with people?

Put simply: information is power, that much is obvious. Throughout history, battles were won and riches were won as a result of one party with asymmetric information. The more knowledge and previous experience you have, the better informed you are to understand the current problem and make the optimum set of decisions.

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Implementing OCR with machine learning

The final project of my optimization class this semester (ORF 307) was to write an OCR (optical character recognition) program, an assignment formulated by Professor Robert Vanderbei. Naturally, this assignment was quite intimidating, but my partner and I eventually figured out how to approach the problem. The end result was quite possibly one of the coolest projects that I’ve ever played a part in building, and I’m very proud of it.

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How to recover in a class when you are lost

I’ll use my physics class as a case study for this. I’m taking PHY 104 this semester, which is Physics E/M (electricity and magnetism). From the very start of the course, we had to do integral vector calculus for electric fields and I panicked; I had never done anything of the sort, and then when I tried to read through the textbook, there were even more intimidating vector calculus problems (involving gradients mostly, which at that point in time I knew of, but didn’t know how to use them). I stopped paying attention in class, and fell further behind.

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