Mathematics has its origin in Ancient Greek: the word μάθημα (máthema) means “science, knowledge, or learning,” while μαθηματικός (mathematikós) translates as “passionate about knowledge.”
Today, the term mathematics refers to a field of human knowledge focused on the rigorous and deductive study of concepts such as quantity, structure, space, and change, essential pillars to understand and describe the world around us.
Mathematics
Mathematics provides the essential foundation for the study and development of data science, creative technology, and artificial intelligence. This section presents academic resources and materials focused on the analysis of algebra, statistics, geometry, and other core areas.
The goal is to offer a solid theoretical framework, complemented by applied examples and exercises, facilitating the transfer of mathematical knowledge into contexts of research, quantitative analysis, and data-driven decision-making.
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Algebra
Study of the fundamentals of linear algebra and geometry: vectors, matrices, vector spaces, and their application in analytical and computational contexts.
Statistics
Analysis of the principles of descriptive and inferential statistics, including probability theory and techniques for interpreting empirical data.
Glossary
Terminological compendium with rigorous definitions of key concepts in mathematics, data science, and technology, aimed at their understanding and application.
