Mathematics I mainly take three courses: advanced mathematics, probability theory and mathematical statistics, and linear algebra.

No.1 and No.2 are generally science and engineering, and the requirements for high numbers are higher.

Compared with Math II, Math III has a wider range, such as infinite series. In this respect, Math II will not be tested, and Math II will not be tested in probability theory and mathematical statistics. From the point of view of unary function calculus, Mathematics II is the most difficult of these three kinds of mathematics.

Mathematics 1: a science and engineering class with high requirements for mathematics.

Examination content:

A advanced mathematics (function, limit, continuity, calculus of univariate function, vector algebra and spatial analytic geometry, calculus of multivariate function, infinite series, ordinary differential equation).

B linear algebra (determinant, matrix, vector, linear equations, eigenvalues and eigenvectors of matrix, quadratic form).

C Probability theory and mathematical statistics (random events and probability, random variables and their probability distribution, two-dimensional random variables and their probability distribution, numerical characteristics of random variables, law of large numbers and central limit theorem, basic concepts of mathematical statistics, parameter estimation and hypothesis testing).

Math II: A major with lower requirements for mathematics.

Examination content:

A. Advanced mathematics (function, limit, unary function calculus, ordinary differential equation).

B linear algebra (matrix, matrix, vector, linear equations, eigenvalues and eigenvectors of matrices).

Mathematics III: Aim at management, economy and other directions.

Examination content:

A. Calculus (function, limit, continuity, unary function calculus, multivariate function calculus, infinite series, ordinary differential equations and difference equations).

B linear algebra (determinant, matrix, vector, linear equations, eigenvalues and eigenvectors of matrix, quadratic form).

C Probability theory and mathematical statistics (random events and probability, random variables and their probability distribution, two-dimensional random variables and their probability distribution, numerical characteristics of random variables, law of large numbers and central limit theorem, basic concepts of mathematical statistics, parameter estimation and hypothesis testing).