SAS Data Analysis and Application

DepartmentSchool of Mathematics and Information Science

Credit2

Hours30

Course Code1047202

    This course is an experimental minor course for students major in Economics and Management, Science and Technology, introduces SAS application in data analysis and statistical analysis. The content includes SAS software, statistical basis, regression analysis and variance analysis, principal component analysis and cluster analysis.

 Insurance and Actuarial Studies

Institute: School of Mathematics and Information Science

Credit: 2

Period: 30L

Course No: 1034209

     This course mainly introduces the fundamental principles and techniques of life insurance actuary, including the laws of claim on occurring event, the distribution law of insurance accident losses, the average losses and their distribution law of the insured person, the basic principles and techniques of insurance premium and liability reserve fund calculation method, etc.

Bayesian Decision Theory

InstituteSchool of Mathematics and Information Science

Credit2

Period30L

Course No1034207

Bayesian Decision theory studies the logic and the mathematical properties of decision making under uncertainty, and is applied to a broad spectrum of human activities. Much of it makes use of ideas, approaches, and formalism that can be categorized as Bayesian. Bayesian decision theory can be used as elective courses for many Specialists, such as economics, management science, and science and engineering profession.

Graduation Thesis

Institute: School of Mathematics and Information Science

Credit: 18

Period: 18W

Course No: 1036104

     Graduation Thesis is an independent and conclusive assignment for applied mathematics graduates, aims to cultivate students to analyze and solve one or two actual problems by using basic knowledge and theory, which is also a comprehensive summary of students' learning outcomes during study period in school. It is the dispensable and important link of the entire teaching activities.

Ordinary differential Equation

Institute: School of Mathematics and Information Science

Credit3

Period50L

Course No: 1013104

Ordinary differential equation, is the core and basic course of undergraduate mathematics.  Its target is the fusion of mathematical analysis and higher algebra, open minded for further study functional analysis, partial differential equation, topology subjects and so on. On the one hand, we hope to make the course content close to the actual engineering, enable students to understand the teaching content from life. On the other hand, we hope to make the course content for subject frontier and the focus of scientific research.

Sampling Survey

Institute: School of Mathematics and Information Science

Credit: 4

Period: 64L

Course No: 1034104

     Sampling Survey is very practical and professional, which is also a required course of Applied Mathematics (Applied Statistics direction). This course is about basic concepts of sampling survey, project design, questionnaire design, how to write sampling survey reports and sampling methods such as simple random sampling, stratified random sampling, unequal probability sampling, cluster sampling, multi-stage sampling, systematic sampling and their estimation methods.

Statistical Aanalysisof Qualitative Data

Institute: School of Mathematics and Information Science

Credit: 2

Period: 30L

Course No: 1034208

Statistical Analysisof Qualitative Dataisanelective course of Applied Mathematics (Applied Statistics direction), which plays an important role in the Data Analysis. It is a basic tool for applied research in Sociology, Psychology, Demology, Marketing and Medicine and other fields. In addition, it also has a wide range of applications in market consultation and social investigation.

Function Theory of Complex Variables

Institute: School of Mathematics and Information Science

Credit: 3

Period: 50L

Course No: 1033201

Function Theory of Complex Variables is a constructive bilingual curriculum of our university, which is also a theoretical fundamental course of Mathematics Major. This course mainly study some basic theories and methods of analytic functions, and discuss functions of complex variables by mathematical analysis theory. Through English bilingual teaching, students can understand the background, idea, significance, domestic and international development trend of complex analysis, grip the basic theory and application of functions in one complex variable. Meanwhile, it makesthem adapt to thinking, formulating, solving problems in English way, and prepare well for other courses’ study. It can also train students' originality and ability in application, and promote students' comprehensive quality.

Probability Theory

Institute: School of Mathematics and Information Science

Credit: 3

Period: 54L

Course No: 1033103

     Probability Theory is a branch of mathematics that studies the likelihood of occurrence of random events in nature, human society and industries, etc. It is the basis of statistical theory and methods, and closely related to other branches of mathematics, which also has wide range of applications in natural science, humanity, engineering and management and other fields. This course mainly expounds the basic idea of probability theory and introduces the basic methods and their basic research results of random phenomena.

Probability and Stochastic Process

InstituteSchool of Mathematics and Information Science

Credit3

Period44L

Course NO1032103

This course is a major course for students who majoring in Computing Science and science and Engineering, It’s a mathematical course researching of stochastic phenomena in the objective world change with time of statistical regularity. The content includes the basic concepts of probability theory, random variables, digital feature, the law of large numbers and central limit theorem, the basic concept of stochasticprocess, Poisson process, Markov process, martingale process and the Brownian motion.

Advanced Algebra I

Institute: School of Mathematics and Information Science

Credit: 5

Period: 78L

Course No: 1033101

     Advanced Algebra I is one of the three basic professional courses in Applied Mathematics and Information Science. The basic concepts, theories, methods and their applications of polynomials, determinants, linear equations, matrices quadratic form will be taught systematically in this course.

Advanced Algebra II

Institute: School of Mathematics and Information Science

Credit: 5

Period: 82L

Course No: 1033102

      Advanced Algebra I is one of the three basic professional courses in Applied Mathematics and Information Science. The basic concepts, theories, methods and theirs applications of linear spaces, linear transformations, -matrix and Euclid space will be taught systematically in this course.

Advanced Mathematics C1

Institute: School of Mathematics and Information Science

Credit: 4

Period: 60L

Course No: 1002105

    Advanced Mathematics C1 is a compulsory important basic course for students who specialize in Arts The main purpose of this course is to foster students to master the thoughts and methods of solving mathematical problems and spatial imagination ability, logical thinking ability and mathematical computing ability. The main contents are functions , limits and continuity, derivatives and differentials, derivative applications, indefinite integrals.

Advanced Mathematics I1

Institute: School of Mathematics and Information Science

Credit: 4

Period: 60L

Course No: 100190

    Advanced Mathematics I1 is a compulsory important basic course for students who specialize in this major. The main purpose of this course is to foster students to master the thoughts and methods of solving mathematical problems and spatial imagination ability, logical thinking ability and mathematical computing ability. The main contents are functions, limits and continuity, derivatives and differentials, derivative applications, indefinite integrals.

Advanced Mathematics I2

Institute: Faculty of Mathematics and Information Science

Credit: 4

Period: 60L

Course No: 100190

    Advanced Mathematics I2 is a compulsory important basic course for students who specialize in this major. The main purpose of this course is to foster students to master the thoughts and methods of solving mathematical problems and spatial imagination ability, logical thinking ability and mathematical computing ability. The main contents are definite integration, differential equations, space analytic geometry, series, multiple variable Calculus.

Advanced Mathematics C1

Institute: Faculty of Mathematics and Information Science

Credit: 4

Period: 60L

Course No: 1002105

    Advanced Mathematics C1 is a compulsory important basic course for students who specialize in Arts The main purpose of this course is to foster students to master the thoughts and methods of solving mathematical problems and spatial imagination ability, logical thinking ability and mathematical computing ability. The main contents are functions, limits and continuity, derivatives and differentials, derivative applications, indefinite integrals.

Advanced Mathematics C2

Institute: Faculty of Mathematics and Information Science

Credit: 4

Period: 60L

Course No: 1002105

    Advanced Mathematics C2 is a compulsory important basic course for students who specialize in Arts. The main purpose of this course is to foster students to master the thoughts and methods of solving mathematical problems and spatial imagination ability, logical thinking ability and mathematical computing ability. The main contents are definite integration, differential equations, space analytic geometry, series, multiple variable Calculus.

Advanced Mathematics A1

Institute: School of Mathematics and Information Science

Credit: 3

Period: 56L

Course No: 1002101

    Advanced Mathematics A1 is a compulsory important basic course for students who majoring in Science and Engineering. The main purpose of this course is to foster students to master logical thinking ability, computing ability and scientific reasoning skills. It also help students to master thoughts and methods of solving practical problems, to have innovation consciousness. This course mainly consists of limits and continuity, derivatives and differentiation, the mean value theorem, applications of derivatives of the single variable function and indefinite integrals of the single variable function.

Advanced Mathematics A2

Institute: School of Mathematics and Information Science

Credit: 6

Period: 108L

Course No: 1002102

    Advanced Mathematics A2 is a compulsory important basic course for students who major in Science and Engineering. The main purpose of this course is to foster students to master logical thinking ability, computing ability and scientific reasoning skills. It also make students to master thoughts and methods of solving practical problems in order to lay the foundation for the follow-up courses. This course mainly consists of indefinite integrals, definite integrals and their applications, differential equations, analytic geometry of space, differentials and integrals of the multi-variable functions, infinite series, etc.

Advanced Mathematics B1

Institute: School of Mathematics and Information Science

Credit: 3

Period: 56L

Course No: 1002103

    Advanced Mathematics B1 is a compulsory important basic course for students who major in Science and Engineering. The main purpose of this course is to foster students to master logical thinking ability, computing ability and scientific reasoning skills. It also make students to master thoughts and methods of solving practical problems in order to lay the foundation for the follow-up courses. This course mainly consists of limits and continuity, derivatives and differentiation, the mean value theorem and applications of derivatives, and indefinite integrals of the single variable function. 

Advanced Mathematics B2

Institute: School of Mathematics and Information Science

Credit: 6

Period: 86L

Course No: 1002104

     Advanced Mathematics B2 is a compulsory important basic course for students who major in Science and Engineering. The main purpose of this course is to foster students to master logical thinking ability, computing ability and scientific reasoning skills. It also make students to master thoughts and methods of solving practical problems in order to lay the foundation for the follow-up courses. This course mainly consists of indefinite integrals, definite integrals and its applications, differential equations, multivariable differential calculations and its application, multiple integrals, line integral, and infinite series, etc.

Advanced Mathematics D

Institute: School of Mathematics and Information Science

Credit: 3

Period: 78L

Course No: 1002107

Advanced Mathematics D is a compulsory important basic course for students who major in Clothing Design. The main purpose of this course is to foster students to master logical thinking ability, computing ability and scientific reasoning skills. It also make students to master thoughts and methods of solving practical problems, to cultivate students’ innovation consciousness. This course mainly consists of limits and continuity, derivatives and differentiation, the mean value theorem and applications of derivatives, indefinite integrals, definite integrals of the single variable function, differential equations and differentials of the multi-variable functions.

Analytic Geometry

Institute: School of Mathematics and Information Science

Credit: 2

Period: 42L

Course No: 1033100

Analytic Geometry is very fundamental, which is a required course of Applied Mathematics. The course is a discipline which apply algebraic to research geometrical issues.  It includes the basic knowledge of analytic geometry and the combination of function and shape, to enlarge students’ knowledge in the field, to cultivate their space imagination and the logical thinking ability.

Discrete Mathematics A

InstituteSchool of Mathematics and Information Science

Credit5

Period80L

Course No1023118

Discrete Mathematics, which is to discuss discrete structures and their relations, is an important branch of modern mathematics and a basic required course of computer science and its application.  Through the study of this course, students can master the description tools and methods for processing discrete structures, enhance the ability of abstract thinking and logical reasoning and prepare for the follow-up courses.

Discrete Mathematics B

InstituteSchool of Mathematics and Information Science

Credit3

Period56

Course No1022204

Discrete Mathematics, which is to discuss discrete structures and their relations, is an important branch of modern mathematics and an essential required course for students majored in computer science.  Through the study of this course, students can establish a basic mathematics point of discrete structures, master some the methods to deal with discrete variables and have better abilities of abstract thinking and logical reasoning.

Business Statistics

Institute: School of Mathematics and Information Science

Credit: 2

Period: 30L

Course No: 1034204

     Business Statistics is an elective course of Applied Mathematics (Applied Statistics). This course mainly introduces how to collect, sort and describe data during commercial economic activities and how to make parameter estimation, hypothesis testing, analysis of variance, analysis of regression, analysis of time series, analysis of statistical decision and comprehensive judgment, etc.

Applied Time Series Analysis

Institute: School of Mathematics and Information Science

Credit: 3

Period: 54L

Course No: 1034100

     Applied Time Series Analysis is very practical and professional, which is also a required course of Applied Mathematics. This course mainly analyze the random data sequence (or sequence of dynamic data) with the theory of probability and statistics, especially establishing the mathematical model of data sequence by the way of making the model order and parameter estimation to be applied to forecast the future. Time series analysis is widely used in economics, the social sciences and natural sciences.

Course Exercise of Time Series Analysis

Institute: School of Mathematics and Information Science

Credit: 1

Period: 1L

Course No: 1036102

The Course Exercise of Time Series Analysis is a professional practice of applied mathematics. In this course exercise, one can learn to analysis practical time series data and build up a mathematic model of it, further to judge how closely a model does fit to data and forecast the future with the use of mathematic model; one can learn the SAS software to build up a time series model; one can know some new development of time series analysis and how to be applied in modern economy and science of banking.

MarketAnalysis Methods

Institute: School of Mathematics and Information Science

Credit: 2

Period: 30L

Course No: 1034206

     Market Analysis Methods is an elective course of Applied Mathematics(Applied Statistics). This course mainly introduces how to use statistical methods to analyze the dynamic change of market environment and its varying trend analysis, market sentiment analysis, market segmentation, measurements and forecasts of market demand, customer satisfaction analysis, econometric analysis of the marketing effect, etc.

Experimental Design

Institute: School of Mathematics and Information Science

Credit: 2

Period: 30L

Course No: 1034201

     This course introduces the fundamental concepts, principles and methods of Experimental Design, which includes common experimental design methods, such as block design, orthogonal design, parameter design, regression design, uniform design, etc.

   An Introduction to Mathematical Finance

Credit: 3

Period: 48L

Course No: 1034202

With the development of financial theory and practice, the relationship between mathematics and finance becomes more and more close. The course of An Introduction to Mathematical Finance aims to enable students to understand the techniques of quantitative analysis for finance and master the fundamental financial analysis theories, including portfolio selection theory, capital asset pricing theory, no-arbitrage principle, option pricing formula and M-M theory. Through the study of the course, students have the initial ability of the financial analysis, and then lay a foundation for further study or financial practice.

Mathematical Statistics

Institute: School of Mathematics and Information Science

Credit:3

Period: 54L

Course No: 1033104

     Mathematical Statistics is a required course for students majoring in Mathematics and Applied Mathematics, which studies quantitative laws of massive events in random phenomena. The methods of Mathematical Statistics are widely used in natural sciences, engineering technology researches and social sciences. This course will mainly consist of parameter estimation, hypothesis testing, analysis of regression and analysis of variance.

Selected Teaching in Advanced Algebra

Institute: School of Mathematics and Information Science

Credit: 3

Period: 48L

Course No: 1033206

    Selected Teaching in Advanced Algebra is an elective course for the higher grade students who major in Mathematics, which is also a follow-up course for Advanced Algebra. Polynomials, Matrix and the System of Linear Equations, Linear Spaces and Linear Transformations will be taught in this course. On the basis of explaining the content, summarizing the basic theory and the techniques of solving problems in order to improve students’ mathematical accomplishment, logical reasoning and computing abilities.

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Functions of Complex Variables and Integral Transformation A

Institute: School of Mathematics and Information Science

Credit: 3

Period: 50L

Course No: 1012103

Functions of Complex Variables and Integral Transformation A is a basic course for undergraduates who major in Electricity. It is another Mathematical basic course for Mathematical Analysis in Engineering. It mainly focuses on the basic theory analytic function and integral transform and relevant methods. Its theories and methods are broadly used not only in many branches of mathematics but also in many natural sciences and Engineering technologies.

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Functions of Complex Variables and Integral Transformation B

Institute: School of Mathematics and Information Science

Credit: 2

Period: 32L

Course No: 1012123

Functions of Complex Variables and Integral Transformation B is a basic course for undergraduates who major in Machinery Manufacturing in the Faculty of Science and Technology. It is another Mathematical basic course for Mathematical Analysis in Engineering. It mainly focuses on the basic theory analytic function and integral transform and relevant methods. Its theories and methods are broadly used not only in many branches of mathematics but also in many natural sciences and Engineering technologies.

Probability and Mathematical Statistics

Institute: School of Mathematics and Information Science

Credit: 3

Period: 44L

Course No: 1013200

Probability and Mathematical Statistics is a basic course for undergraduates who major in Electric Automation. It is widely used in Engineering technology, Scientific research, Economic management,etc. The purpose of this course is to foster students to solve real problems by using basic concepts, theories and methods of Probability and Mathematical Statistics.

Probability and Mathematical Statistics

Institute: School of Mathematics and Information Science

Credit: 3

Period: 44L

Course No: 1103200

Probability and Mathematical Statistics is a basic course for undergraduates who major in Arts. It is widely used in Business Management, Social Work, Scientific Research, etc. The purpose of this course is to foster students to solve practical problems by using basic concepts, theories and methods of this course.

Design and Experiment of Mathematical Modeling Algorithm

Institute: School of Mathematics and Information Science

Credit: 2

Period: 30L

Course No: 1047200

    Design and Experiment of Mathematical Modeling Algorithm is a minor course for all students . Mathematical Modeling is a methodology of using language and method of mathematics by abstraction and simplification. Mathematical modeling algorithm is based on the computer as the tool of application of modern computing technology to achieve the solution method of the model in order to solve the actual problems. The content introduces the Monte Carlo method (Monte-Carlo), data fitting and interpolation, the planning algorithm, graph theory algorithm etc.

Android Application Development

Institute: School of Mathematics and Information Science

Credit: 2

Period: 30L

Course No: 1047201

    As the high-end smart-phone operating system, this course mainly begins with basic Java, aims to develop 3G network engineers, further explains the development and actual combat of Google Android. The contents are complete and perfect, which makes students mastering the 3G mobile application development, improving the practice ability through the project practice, and could apply the knowledge into the project.

Graduation Design

Institute: School of Mathematics and Information Science

Credit: 18

Period: 18W

Course No: 1026112

    Graduation Design of Information and Computing is the last stage of learning and comprehensive training before the graduation, which is an important process of knowledge of deepening, broadening and teaching. It is the comprehensive summary of students’ learning, studying and practicing ability, which is also an overall inspect on students’ integrated and engineering practicing abilities, aims to train qualified undergraduates. Though the graduation project, the students will learn the abilities of comprehensive analysis, solving problems, organizational administration, social contact, autonomous working, and rigorous, solid work style, dedication and sense of responsibility. It lays the foundation of making the transition to work and finishing the tasks for students.

Programming Design I

Institute: School of Mathematics and Information Science

Credit: 4

Period: 68L

Course No: 1023111

    Programming Technique I is set up for the students of the Department of Information and Computer Science and the Department of Applied Mathematics, which is based on C++ programming technique and evolves by the need of these two departments. It mainly introduces the procedure-oriented programming. It is divided into two parts, theoretical and experimental. The main contents are primitive types, control-of-flow statements, composite data types, function and function overloading, pointer and its applications.

Programming Design II

Institute: School of Mathematics and Information Science

Credit: 3

Period: 50L

Course No: 1023112

    Programming Technique II is set up for the students of the Department of Information and Computer Science, which is based on C++ programming technique and evolves by the need of the Department of Information and Computer Science. It mainly introduces the procedure-oriented programming. It is divided into two parts, theoretical and experimental. The main contents are the concepts of object-oriented encapsulation, inheritance and polymorphism, the concept of defined class and declared object, overloaded functions and function templates, virtual functions and pure virtual functions and the methods of object-oriented analysis and design.

Java Programming Design

Institute: School of Mathematics and Information Science

Credit: 3

Period: 54L

Course No: 1023201

    Java Programming Design is a professional basic course of Information and Computer Science and other related professions. Java has the characteristics of simple, object-oriented, network applicative, interpreted, robust, secure, strongly portable and multi-threaded, which is the necessary and cutting-edge knowledge for all IT workers. Java Programming Design is a professional basic course integrating knowledge and skills. Java language runs through the entire curriculum system.

Selected Teaching in Mathematical Analysis

Institute: School of Mathematics and Information Science

Credit: 3

Period: 48L

Course No: 1023203

    Selected Teaching in Mathematical Analysis is a course for students who want to continue to learn Mathematics, which summarizes the thinking methods and expression means of mathematical analysis, and it also summarizes mathematical problem solving methods. It analyzes from the aspects of formal logic and dialectical logic error of the analysis, and unary function Calculus, Multi-variable Function Calculus, the series and other aspects.

Computer Operating System

Institute: School of Mathematics and Information Science

Credit: 4

Period: 60L

Course No: 1024105

    This course is a professional basic course of information and computing science and other related professional. Operating system is for the management of computer system resources, all other software and computer hardware interface, all users have to use the operating system to provide when using computer service. The course aims to enable students to master the operating system of the basic concepts, basic principles, design methods and implementation techniques, with the preliminary analysis of the actual ability of operating system, identify trends related to the development of the study of the operating system, and lay the foundation for the relevant application in the future.

Computer Graphics and Images

Institute: School of Mathematics and Information Science

Credit: 3

Period: 48L

Course No: 1031207

Computer Graphics and Images is a course in professional field for information and computer science. Through learning to use the currently popular image processing software, the students could master computer graphics the basic image processing technology. It could serve not only the following courses of multimedia making and website design, but also the corresponding work position after graduation.

Computer network and Webpage Design

Institute: School of Mathematics and Information Science

Credit: 2

Period: 40L

Course No: 1024207

Computer networks is a course about basic knowledge of computer network technology and the professional course for Information and computing science. By studying this course, the students are able to master the basic knowledge of computer network, understand the principle of data communication, be familiar with the structure and the system structure of computer network, the TCP/IP model, master the working principle of LAN and a popular LAN application, understand the basic concepts of computer network management and structured cabling, and trains the student to have a simple network and network management ability.

Computer Network and Website Design

Institute: School of Mathematics and Information Science

Credit: 1

Period: 1W

Course No: 1026103

Computer network and Website Design is mainly to cultivate students in TCP/IP protocol engineering and actual ability to set up a LAN. In addition, this course help students master the methods of the network construction, maintenance and management, necessary operation skills in the construction of the computer network in the information-based society.

Principles of Computer Organization

Institute: School of Mathematics and Information Science

Credit: 4

Period: 64L

Course No: 1024104

Principles of Computer Organization is a professional basic course of information and computing science and other related professional, occupies an important position and role in the professional teaching plan. Technology and Realization of the composition principle course aims to enable students to master computer hardware subsystems, the whole concept of the establishment of a computer system, plays an important role in training the students' ability to design and development of computer system, and lay a good foundation for the future study of computer architecture, computer network course.

Partial Differential Equation

Institute: School of Mathematics and Information Science

Credit: 3

Period: 48L

Course No: 1033204

    The main objects of this course are three kinds of typical partial differential equations--wave equations, heat conduction equations and harmonic equations. The course introduces the corresponding definite conditions and the methods of solving the determining solutions. By combining with the physical background, the course states several typical equations’ the mathematical structures, solving methods, the properties of the solutions. It could lay a solid foundation and provide a powerful tool for the students in the following studies and work, and also provide important help for more understanding and applications of modern partial differential equations.

Software Engineering

Institute: School of Mathematics and Information Science

Credit: 2

Period: 40L

Course No: 100123

    Software Engineering mainly introduces the concept of software engineering, software engineering principle and method of the typical technology in software engineering. Our students can master the methods of developing high-quality software by studying the procedure-oriented software development method and the object-oriented software development method. By means of studying the process of software development and technology of process management, which makes the student learn how to make software metrics and management.

Real Variable Analysis and Functional Analysis

Institute: School of Mathematics and Information Science

Credit: 4

Period: 64L

Course No: 1034205

    Real variable function includes collection, point set, measure theory, measurable function and integral theory. The Lebesgue measure and integration theory develop the scope of functions and expend the meaning of the limit. Functional analysis summarizes many classical analysis and function theory achievements, including metric spaces, linear operators and linear functions, the basic theorem of contraction mapping principle, the open mapping theorem, the closed graph theorem and Hahn-Banach theorem.

Data Structure

Institute: School of Mathematics and Information Science

Credit: 4

Period: 68L

Course No: 1023110

    Data Structure is a professional basic course of information and computing science and other related professional, is a mainly computer science courses. Data structure is a subject for processing a large number of non-numerical procedure and the formation, connotation is rich, wide range of application. It has both the subject system and subject depth is complete, and have strong practicality.

Course Design of Data Structure

Institute: School of Mathematics and Information Science

Credit: 1

Period: 1W

Course No: 1026101

    The purpose of this course is to make students master the basic concepts of common data structure and its implementation method of different understanding, realize different operation mode of meaning in different storage structure, understand programming skills and experience of the law, help students to skillfully use C, C++ and Visual C++ language programming environment, improve the ability of the high-level language, debugging procedures, developing a good programming style, writing a specification document report.

Database Principles and Applications

Institute: School of Mathematics and Information Science

Credit: 3

Period: 48L

Course No: 1023107

    Database principles and Applications is an important branch of computer science, provides the basic theoretical knowledge of the data management using computer technology for many disciplines, such as computer professional, management professional, is a professional required course of the computer professional, professional management and other disciplines. This course uses the relational database system as the core, systematically expounds the basic concept, basic principle and application of database system technology.

Course Design of Database Principles and Applications

Institute: School of Mathematics and Information Science

Credit: 1

Period: 1W

Course No: 1026104

    The purpose of this course is to make students, based on the basic concepts of database system, be skillful of using SQL language for database operations on a database management system, master the database design methods and steps, with the basic ability of the design of the database model and developing database application system.

Mathematical Analysis I

Institute: School of Mathematics and Information Science

Credit: 5

Period: 78L

Course No: 1023101

    Mathematical analysis is a foundation course for mathematics major. The course is divided into Mathematical analysis 1, Mathematical analysis 2 and Mathematical analysis 3. The main contents of Mathematical analysis 1 are functions, limitations, continuous functions, the continuity of real numbers, derivatives and fundamental theorem of calculus, and so on. Learning mathematics analysis is the basic prerequisite for the following mathematics courses, such as differential geometry, differential equation, complex variables functions, real variable function and functional analysis and computing methods.

Mathematical Analysis II

Institute: School of Mathematics and Information Science

Credit: 6

Period: 108L

Course No: 1023102

    The second part of Mathematical analysis includes the definite integrals and series. Definite integrals influence subsequent integration of curves, surfaces, and multiple integration points. Series includes Several series and Function Series, and Several series is the basis for a number of Series of Functions. Function Series is an important mathematical tool in expressing the non-elementary functions and in the natural sciences, engineering and mathematics series itself has a wide range of applications.

Mathematical Analysis III

Institute: School of Mathematics and Information Science

Credit: 4

Period: 72L

Course No: 1023103

    The third part of Mathematical analysis includes the differential calculus for the Multivariate Function, Implicit Function, Improper Integrals and integral with parameter, Multiple Integral, Integral Curves and Surface Integrals, and further develops certain concepts and theorems. Multiple Differential Functions develops the functions of one variable differential calculus. Multiple integral, integral curves and surface integrals expend the definitions of the definite integral.

Mathematical Modeling I

Institute: School of Mathematics and Information Science

Credit: 2

Period: 32L

Course No: 1022106

Mathematical Modeling 1 mainly covers modeling application and practice of basic knowledge in college mathematics (calculus, linear algebra, probability theory & mathematical statistics). Teaching methods incorporate classroom lecture, laboratory operation, after-class seminar, practice of problems and other methods. The course focuses on teaching basic methods, training basic skills and cultivation of basic ability, and it lays more emphasis on the combination of theory and practice. The course makes students truly realize the important bridge function of mathematical modeling between major and base.

Mathematical Modeling II

Institute: School of Mathematics and Information Science

Credit: 3

Period: 50L

Course No: 1024101

The course mainly deals with applied mathematics and relevant professional knowledge, basic methods to set up and solve mathematical models aiming at practical problems with application background and then to solve practical problems. As a new course, it incorporates classical mathematics, modern mathematics, computer science and practical problems and covers elementary model, optimized model, planning model, differential equation model, difference equation model, probabilistic model, statistic model and other basic contents. It also includes deeper contents, such as mathematical modeling training, mathematical experiment training, and science and technology English training. Based on the study of concepts and characteristics relevant to mathematical modeling and the introduction of application examples of mathematical modeling, the course aims at cultivating students’ abilities of bi-directional translation, mathematical derivation, simplified calculation, proficient operation of relevant mathematical software, imagination, insight and comprehensive analysis, and cultivating the students’ spirit of perseverance and teamwork.

Introduction to Mathematical Software

Institute: School of Mathematics and Information Science

Credit: 2

Period: 36L

Course No: 1022105

The course introduces several popular mathematical softwares: Mathematical MATLAB and Maple. The course is divided into four parts: overview, Mathematica MATLAB and Maple. Through many application examples, the methods of applications are introduced. This aims to let the students recognize the mathematical software, choose the proper ware for them and learn the methods of solving mathematics problem of experiment to reach the unification of theory and practice.