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Many people told me that Computer Science (CS) knowledge is important. I didn't understand it back then, but now I truly understand what they meant. In CS, algorithms represent the study of maximizing performance through efficient resource utilization. As someone passionate about low-level programming, learning algorithms has taught me the critical importance of optimization. Through studying algorithms and solving programming challenges, I've discovered the joy of finding efficient solutions by observing how different algorithmic approaches can enhance performance for the same problem. This knowledge has been invaluable to me. Even though algorithms, like graph traversal, might not be directly applicable to my field, I believe that the computational thinking skills gained from studying them will enhance my problem-solving abilities.
Despite today's powerful hardware, optimization remains crucial because our resources are limited. This becomes even more critical at the low level, where it forms the foundation for all applications. I aspire to contribute to improving the efficiency of this fundamental infrastructure—that's why I study algorithms.
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