When I first started my computer science degree just over a year and a half ago, some of the biggest hurdles I had to overcome involved just reading and writing code. Things like knowing what methods I can call on an array, figuring out what that error I keep getting even means, and for the longest time, why my use of recursion gave me unexpected results (hint: it’s because I didn’t actually understand recursion as well as I thought I did).<\/p>\n\n\n\n
Eventually, those difficulties start becoming a thing of the past as I got more experience. But sometime around then, another set of problems start to arise: knowing how to represent real world things with data types, data structures, and combinations thereof. The first time I realized this concept was during the final project in CS162, where I had to implement a board game called Janggi. Figuring out that I can represent a game board as a 2D array was pretty significant to me at the time.<\/p>\n\n\n\n
But, like the first set of problems, thinking of logical ways to represent real world things with data becomes more normal.<\/p>\n\n\n\n
However, most of the difficulties I tend to face now involve understanding the subject the problem I’m working on relates to. Since my capstone project involves machine learning and audio, those are two entirely new subjects I must understand to some degree in order to complete the project. And after nearly three weeks into the project, I have written little to no code as I have spent most of my time reading documentation, reading related papers on those subjects to get more background knowledge, and designing the architecture.<\/p>\n\n\n\n
If anything, writing the code is the easy part.<\/p>\n","protected":false},"excerpt":{"rendered":"
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