During an intense process of curriculum reformulation following the approval of the National Common Core Curriculum (Base Nacional Comum Curricular (BNCC)), this monography seeks to understand the main changes for a secondary ...

This work aims to present a proposal for teaching Knot Theory through magic tricks and games with yarn, introducing mathematical concepts in a playful way in Basic Education. Initially, there will be a contextualization ...

In this work, the aim is to provide a reflection on symmetry in Basic Education, emphasizing the relevance of the dialogue between Symmetry and Art for the teaching and learning process. In order to achieve this goal, an ...

In this Thesis, we explore a brief introduction to Tropical Algebra and Geometry. We present fundamental definitions and properties of the operations that constitute the tropical semiring, as well as the study and ...

This work describes the academic journey of the first author in a Mathematics Teaching Degree, emphasizing her experiences as a neurodivergent individual (with Attention Deficit Hyperactivity Disorder, dysorthographia, and ...

In this work, we present the classification of real and complex semisimple Lie algebras. Actually, we only introduce the real case, while we show the complete classification in the complex setting. In order to achieve this ...

This study will explore the use of the GeoGebra software, introducing and investigating the concept of dynamic geometry through a step-by-step methodology, which allows for the construction and manipulation of geometric ...

In this work it is defined what are principal components of multivariate data as well as their importance, their properties and their applications. We will then analyze the possibility of applying the PCA to Covid-19 data ...

This work aimed to expand and develop methods for teaching and learning of Mathematics, in particular, seeking possibilities for introducing probabilities for Basic Education through the use of mathematical challenges and ...

This study explores Sequential Markov Decision Models, or Markov Decision Processes (MDPs), which are used for sequential decision-making in stochastic environments. With practical applications in areas like marketing and ...