What are the specific contents to be tested for the graduate school entrance examination Do I need t

Wang Li, Ancient Chinese, Volumes 1, 2 and 3, Zhonghua Book Company.

Huang Borong, Liao Xudong Modern Chinese, Volume I and II, Higher Education Press, Ye Feisheng, Xu Tongqiang, Outline of Linguistics, Peking University Press, Ye Xusheng, Xu Tongqiang, Outline of Linguistics, Study Guide Peking University Press2, Clarify the school to be tested and fully understand the enrollment and admission situation, it is best to contact the admissions office or go to the campus BBS to communicate.

3. Aspects to pay attention to: In the modern and Chinese aspects, it is necessary to analyze the problem in detail, which is not literature, but linguistics with logic. Ancient Han aspect: the use of word classes and sentence declension.

The Graduate School Mathematics exam covers advanced mathematics, line algebra, and probability theory.

Higher mathematics includes: sequences, limits, calculus, spatial analytic geometry and linear algebra, series, ordinary differential equations, etc.

The line generation includes: determinants, matrices, vectors, systems of linear equations, quadratic forms, etc.

Probability theory includes: random events and probability, random variables and their distributions, multidimensional random variables and their distributions, numerical characteristics of random variables, large number force and central limit theorem, mathematical statistics, parameter estimation and hypothesis testing, etc.

Graduate school mathematics is divided into numbers.

One, number two and number three.

Count one: In terms of difficulty, count one is the hardest. Science and engineering students generally have to take the number one test, such as computer, mechanics, communication, electronics, mechanics and other subjects with high requirements for mathematics.

Due to the difficulty and many knowledge points, students need to rebalance in advance, and most of the three-month ashore series on the Internet are probably not in this category.

Number 2: The number two of the professional exams that do not require high mathematics, such as textiles, forestry, agriculture, etc., will be much smaller in scope.

Number three: Basically, students in the economics and management class need to take the number three, which is quite difficult, and the admission score of the economics and management class is generally relatively high, so the score requirements for mathematics are also quite high.

The pre-referrals for Mathematics I are Advanced Mathematics, Linear Algebra, Probability Theory and Mathematical Statistics.

The subjects of the Mathematics II exam are Advanced Mathematics and Linear Algebra.

The subjects of the Mathematics III exam are calculus, linear algebra, probability theory and mathematical system.

It should be done to comprehensively review and prepare for the exam as a whole.

The content of the postgraduate mathematics exam is as follows: Annihilation1. Mathematics I. Advanced Mathematics (Functions, Limits, Continuity, Calculus of Unary Functions, Vector Algebra and Analytic Geometry of Spaces, Calculus of Multivariate Functions, Infinite Series, Ordinary Differential Equations); linear algebra (determinants, matrices, vectors, systems of linear equations, eigenvalues and eigenvectors of matrices, quadratic forms); Probability Theory and Mathematical Statistics (Random Events and Probability, Random Variables and Their Probability Distributions, Two-Dimensional Random Variables and Their Probability Distributions, Numerical Characteristics of Random Variables, Law of Large Numbers and the Central Limit Theorem, Basic Concepts of Mathematical Statistics, Parameter Estimation, Hypothesis Testing).

2. Mathematics II. Advanced Mathematics (Functions, Limits, Continuity, Unary Calculus, Ordinary Differential Equations); Linear algebra (determinants, matrices, vectors, systems of linear equations, eigenvalues and eigenvectors of matrices).

3. Mathematics III. Calculus (Functions, Limits, Continuous, Unary Calculus, Multivariate Calculus, Infinite Series, Ordinary Differential Equations and Difference Equations); imitation of differential linear algebra (determinants, matrices, vectors, systems of linear equations, eigenvalues and eigenvectors of matrices, quadratic forms); Probability theory and mathematical statistics (random events and probability, random variables and their probability distributions, joint probability distributions of random variables, numerical characteristics of random variables, law of large numbers and central limit theorem, basic concepts of mathematical statistics, parameter estimation, hypothesis testing).

Postgraduate Mathematics I.

Exam content: aAdvanced Mathematics (Functions, Limits, Random Continuity, Calculus of Unary Functions, Vector Algebra and Geometry of Spatial Analysis, Calculus of Multivariate Functions, Infinite Series, Ordinary Differential Equations);

b.linear algebra (determinants, matrices, vectors, systems of linear equations, matrix eigenvalues, eigenvectors, quadratic forms);

c.Probability Theory and Mathematical Statistics (Random Events and Probability, Random Variables and Their Probability Distributions, Two-Dimensional Random Variables and Their Probability Distributions, Numerical Characteristics of Random Variables, Law of Large Numbers and the Central Limit Theorem, Basic Concepts of Mathematical Statistics, Parameter Estimation and Hypothesis Testing).

Postgraduate Mathematics II.

Exam content: Advanced Mathematics: Functions, Limits, Continuity, Calculus of Unary Functions, Calculus of Multivariate Functions, Ordinary Differential Equations.

Linear algebra: determinants, matrices, vectors, systems of linear equations, matrix eigenvalues, tebb stocking sign vectors, quadratic forms.

Postgraduate Mathematics III.

Calculus: Functions, Limits, Continuity, Calculus of Unary Functions, Calculus of Multivariate Functions, Infinite Series, Ordinary Differential Equations, and Difference Equations.

linear algebra (determinants, matrices, vectors, systems of linear equations, matrix eigenvalues, eigenvectors, quadratic forms);

Probability Theory and Mathematical Statistics: Random Events and Probability, Random Variables and Their Probability Distributions, Joint Probability Distributions of Random Variables, Numerical Characteristics of Random Variables, Law of Large Numbers and the Central Limit Theorem, Basic Concepts of Mathematical Stimulation Statistics, Parameter Estimation and Hypothesis Testing.

Some majors do not take mathematics for graduate school entrance examinationsTake two professional courses. English and politics are compulsory subjects for graduate school entrance examinations, while mathematics is divided into majors, and pure liberal arts majors do not need to be examined, but science and engineering and some liberal arts majors are required to take mathematics, such as economics, management and other majors.

Graduate school entrance examination needs to take the major of mathematics:

1) Majors that must be enrolled in Mathematics I: Mechanics, Mechanical Engineering, Optical Engineering, Instrument Science and Technology, Metallurgical Engineering, Power Engineering and Engineering Thermophysics, Electrical Engineering, Electronic Science and Technology, Information and Communication Engineering, etc.

2) Enrollment majors that must use Mathematics II: all second-level disciplines and majors in the five first-level disciplines of textile science and engineering, light industry technology and engineering, agricultural engineering, forestry engineering, and food science and engineering in the engineering category.