Memorization Is Important In CS

In many forums and academic environments related to computer science, there is often disdain for memorization. This stems from a discourse on effective study habits and how one ought to retain information. While heavy emphasis is placed on “understanding” a concept rather than rote memorization, I generally agree. However, many people fail to distinguish between “rote memorization” and memorization that serves as a foundation for deeper conceptual understanding. Although one shouldn’t aim purely to memorize information, some form of memory is necessary to retain understanding.Memory is Fundamental

Throughout my academic and self-directed studies, one thing that has caused me immense frustration is my inability to retain what I learn. I may develop a deep understanding of a particular concept, but as soon as I close the book, that understanding fades. This becomes especially frustrating when I need to apply that concept in a program or academic setting. In computer science and programming, there are countless concepts and bits of knowledge that need to be remembered—networking, operating systems, compilers, and more. The usual response to someone seeking advice on how to memorize information is: “No, don’t memorize. Understand the concepts being taught” or “You don’t need to memorize; whatever you don’t remember can be found online or in a book.” However, these responses overlook the fact that in order to truly understand something, we must first have some foundational memory—especially if we are expected to apply it later.

I’m perfectly fine with looking up “how to index arrays in Rust,” but I’m not comfortable having to look up “what is an array” each time I want to work with it.

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