First, mathematical abstraction
Mathematical abstraction refers to the ability to abstract universal and general mathematical laws and properties from specific and special mathematical problems. It includes the abstraction of mathematical concepts, propositions and formulas, as well as the abstraction of mathematical ideas, methods and structures. Mathematical abstraction is the basis of mathematical thinking, which can help us better understand and apply mathematics.
Second, logical reasoning.
Logical reasoning refers to the ability to draw new conclusions or discover new laws through logical reasoning according to known mathematical facts and conditions. Including the proof of propositions, the derivation of formulas, the solution of problems and other aspects of reasoning. Logical reasoning is the core of mathematical thinking and one of the important characteristics of mathematics.
Third, mathematical modeling.
Mathematical modeling refers to the ability to transform practical problems into mathematical models and solve practical problems by mathematical methods. It includes three steps: modeling, solving and verification. Mathematical modeling is the key to mathematical application, which can help us better understand and solve practical problems.
Fourth, mathematical operations.
Mathematical operation is one of the basic skills of mathematics, which refers to the ability to calculate and solve mathematical problems according to operational rules and algorithms. Including basic operations, complex operations, equation solving and other operations. Mathematical operation requires rigorous thinking and accurate calculation ability.
Fifth, intuitive imagination.
Intuitive imagination refers to the ability to imagine and perceive mathematical problems in an intuitive way. Including graphic recognition, symmetry and rotation imagination. Intuitive imagination can help us better understand geometric problems and spatial relations.
Data analysis of intransitive verbs
Data analysis refers to the ability to analyze, process and mine data. It includes data collection, collation and visual analysis. Data analysis can help us better understand the laws and trends behind the data and provide support for decision-making.