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"This is an undergraduate course introducing Error Analysis, Polynomial Interpolaiton, Numerical Solutions of Nonlinear Equations, Numerical Integration, Numerical Differentiation, Numerical Solution of Ordinary Differential Equations as well as Fast Fourier Transform and Monte Carlo Method that are excluded in the standard Numerical Analysis course. The course is more focused on the mathematical analysis and principle of these algorithms and their implementations as well. Students will be expected to complete several computing projects in addition to other homework and the final examination"

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Mathematical Statitics is a basic course with wide application, it mainly focuses on the analysis of randon sample and other data set, including how to effectively collect data, parameter estimation , hypothesis testing, linear model and statistical design. The purpose is to let the students to understand elementary ststistica concepts and ideas, to study the most commonly used statistical methods and to solve some practical problems, and to establish the way of statistical thinking.

The course of Human Resource Management(HRM) is the science of a set of theories, principles and methods of developing ,improving human resources quality, as well as how to use human resource reasonably. It is amajor foundation course that trains students the basic theories, knowledge and abilities related to human resource management. Its main contents include HRM overview,HRM strategy and planning, job analysis, staff recruitment, human resource performance evaluation and assessment, compensation system, employee relations, and etc.

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Operational research focuses on the basic rules that how human beings use and operate different resources, in order to optimize the profits of limited resources. As a domain about optimization and decision making, operational research plays an important role in economics, science and technology, industry, management, military, etc., and thus highly recognized by higher education systems all over the world. The course will introduce linear programming, transportation, integer programming, graph and network analysis, dynamic programming, decision analysis, game theory, forecasting, optimization, and these contents may increase students` interests on further study in the domain of operational research. The course presents the fundamental ideas and methods used in operational research, which are expected to lead students to use them when facing various real world problems, to determine objects, establish schemes, build models, and obtain solutions, so that they can survive in drastic competitions of this information era.

Understand principle and theory of Data Structures and Algorithms, able to design and implement fundamental data structures and algorithms. Covers programming, data structures, algorithms. Topics include the organization and implementation of fundamental data structures such as list, binary tree, tree and forest, and graph; sorting and searching; data abstraction and problem solving.

Applied regression analysis is the courese that blends theory and applications effectively. Through the study during the course, it is required for students to know the theory and methods of regression analysis and can explain the analysis result practically. As the mean while, it is required for students to learn some statistic software to solve the questions.

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The content of the course consists of polynomials, linear spaces and linear transformations. This course will train the students with mathematical thinkings and the preliminary ability for solving practical problems.

The basic concepts, theories and essential methods of the course are an important part of students’ scientific accomplishment and play an important role in improving talented people's scientific quality, which cannot be substituted by other courses.This course enables students to grasp the elementary knowledge of mechanics, thermodynamics, electromagnetism, wave and optics and modern physics. It provides a basis for the work they will do after graduation in the fields of technology, management and scientific research.

Advanced Mathematics is designed to serve students majoring in chemical science, computer science and engineering etc. It consists of two parts of a two-semester sequence. The course begins with a rapid review of topics in algebra and trigonometry, which you should be competent in. Part 1, consisting of Chapters 1 to 7, is devoted to single variable differentiation, integration and differential equations. It covers the fundamental concepts and theorems. Part 2, consisting of Chapters 8 to 12, discusses in depth multivariable differentiation, integration, infinite series, vectors and the geometry of space.