Probability statistics: Chapter 1, Events and Probability (independence, conditional probability, total probability formula, Bayesian formula). The following is the mathematical expectation (emphasis) of one-dimensional and two-dimensional random variables. Large number limit theorem and central limit theorem (not important. )。 The focus of investigation and statistics is moment estimation and maximum likelihood estimation.

Linear algebra: determinant, vector (not tested in vector space), matrix, linear equations, eigenvalues and eigenvectors of matrix, similar matrix, quadratic form.

The topic of probability theory for postgraduate entrance examination is relatively fixed. The topic of linear algebra is quite lively.