Mathematics and applied mathematics teachers' major is a comprehensive science and engineering major involving mathematics, applied mathematics and computer science. This major mainly trains mathematics normal students with solid advanced mathematics theory and practical application ability, trains excellent teachers for primary and secondary schools or advanced mathematics education, and also trains technical and management talents for related enterprises and institutions.
1, Linear Algebra: This is one of the most important basic courses in mathematics and applied mathematics, and it is also the core course of this subject. This course mainly explains the basic concepts and theories such as vector space, linear transformation, matrix and its operation, eigenvalue and eigenvector. Candidates should be familiar with these basic concepts and theories when dealing with the examination of linear algebra, and pay attention to the understanding and application of proof.
2. Applied Mathematical Analysis: This course mainly involves basic theories such as calculus theory, numerical analysis, ordinary differential equations, and related practical applications. Candidates need to master the prerequisite knowledge and calculation methods, accurately analyze and solve complex mathematical problems, and also need to master some commonly used numerical methods and calculation tools.
3. Probability theory and mathematical statistics: This is an important course of probability statistics, which mainly explains the related theories and applications of random variables, probability distribution, parameter estimation, hypothesis testing and regression analysis. Candidates need to be familiar with commonly used probability distributions, such as normal distribution, chi-square distribution, t distribution, etc. , master some commonly used data analysis methods and skills, and have a deep understanding of common statistical problems.
4. Mathematics education: As the core course of mathematics and applied mathematics teachers' major, this course mainly introduces the basic theories and methods of mathematics education and the knowledge of curriculum teaching design. In the postgraduate entrance examination, candidates need to know the latest development of current mathematics education, teaching strategies and methods, and master the ability to design, plan and evaluate mathematics education courses.
The postgraduate entrance examination direction of mathematics and applied mathematics majors covers many disciplines, which requires a solid foundation of advanced mathematics, certain application ability and practical experience, as well as the quality and ability of education and teaching. Candidates need to focus on learning and reviewing relevant knowledge and skills according to their actual situation and professional requirements when preparing for the exam. Only by accumulating practical experience and improving one's own ability can we achieve better results in the highly competitive postgraduate entrance examination.
The prospect of applied mathematics teachers' specialty
1. education occupation: graduates can enter primary and secondary schools to teach, or join counseling institutions in primary and secondary schools to become tutors, curriculum design and other related occupations. In addition, mathematics education institutions, universities and training institutions are also graduates' employment choices.
2. Research occupation: Mathematics and applied mathematics are one of the important basic disciplines in the field of modern science and technology. After graduation, you can choose to engage in basic mathematics research, applied mathematics research and engineering mathematics problem solving.
4. Data analysis: Graduates can also study data science, data analysis and artificial intelligence, enter the financial, scientific, medical and other industries, and engage in data analysts, data miners and other related occupations.
5. Artificial intelligence field: With the rapid development of artificial intelligence technology, graduates can also engage in research and practice in artificial intelligence fields such as machine learning and deep learning.