What Are Algorithms and Why Are They Important?

Since the creation of Charles Babbage’s analytical machine, computing has sought ways to enhance and speed up computer processing, allowing tasks to be executed more efficiently, quickly, and accurately.

Before making any assertions in this article, it is important to clearly establish the definition of what an algorithm is.

Informally, an algorithm is any well-defined computational procedure that takes some value or set of values as input and produces some value or set of values as output within a finite period of time. Therefore, an algorithm is a sequence of computational steps that transform input into output. (THOMAS H. CORMEN, CHARLES ERIC LEISERSON, RONALD RIVEST, CLIFFORD STEIN., 1990, ch. 1)

Although the characteristics of an algorithm are strongly linked to the field of technology, its application also permeates many everyday activities. In general, an algorithm is characterized by an extremely precise sequence of instructions that, when read and executed by someone else, produce the expected result—that is, the solution to a problem.

A cake recipe, for example, is a clear example of an algorithm that can be applied multiple times with the same result. Obviously, like any algorithm, such a recipe is subject to improvements over time; however, once modified, it enters a new state.

The need to create an algorithm is due to several factors, including:

• Record keeping – By recording instructions, we ensure that there is no need to rediscover the solution after a long period of time.
• Error prevention – Most of the time, we want to ensure that there are no errors in the process, which is achieved through detailed instructions.
• Optimization – A well-structured algorithm enables efficient task execution, reducing processing time and computational resource consumption.

Importance of algorithms for students

The study of algorithms is essential for university students from various fields of knowledge, as it stimulates the development of logical reasoning, which is crucial for decision-making and solving complex problems. This skill is valuable not only in technology-related areas, but also in disciplines such as mathematics, data science, and economics.

In the world of innovation, the study of algorithms is not just for programmers. Algorithms are present in almost everything: from organizing a production line to recommendations on your favorite streaming platform.