l Historical Development
The College of Mathematics and Information Science of Jiangxi Normal University began in 1946 with the founding of Mathematics Department of College of Science, National Chung Cheng University. Now it has four departments and two research institutes, namely Department of Mathematics, Department of Statistics, Department of Information Science, Department of Computing Science, Research Institute of Mathematics and Research Institute of Information Engineering. It also possesses a Center of Mathematics Laboratory and one editorial office of the journal Research of Mathematics for Middle Scholl. It is one of the first batch of Colleges in China that were granted Bachelor’s and Master’s degrees. There are two disciplines in which it is authorized to grant Master’s degrees at the first level, Mathematics and Statistics.
l Disciplines and Areas
The College now has the five bachelor’s majors of mathematics and applied mathematics, information and computer sciences, statistics, economic statistics, and information management and systems, of which mathematics and applied mathematics together with information management and systems are provincial level “trade-mark” majors. The College has been authorized to grant Master’s degrees at the first level in mathematics and statistics, of which the first level degree in mathematics consists of the six second level degrees of theoretical mathematics, applied mathematics, computational mathematics, probability and statistics, operations and control theory, and decision making. In addition, it has master’s degree in mathematical education. Moreover, theoretical mathematics has been voted to be key Province-level disciplines in higher education for the past twenty-five years(from the Eighth Five-year Plan to Twelfth Five-year Plan). The Master’s program of mathematics is also recognized as the Eleventh Five-year Plan and the Twelfth Five-year Plan Province-level model for higher education.
l Academics & Research
In the past five years, the College has been awarded 39 grants from the National Natural Science Foundation, 37 grants on the provincial level and 35 grants from the Education Department of Jiangxi Province. Its faculty members have published over 700 research articles, over 260 of which included by SCI. The College lab center has four labs of math research and modeling, information management, statistics and computer mathematics, and owes three multi-media classrooms, 250 microcomputers with a lab space of 740 square meters. The College library possesses over 110 thousands books and over 150 journals.
l Faculty and Staff
The College has 106 teachers and administrative staff, including 19 professors, 34 associate professors, 54 of whom already have doctoral degrees, 5 of whom are doctoral supervisors. There are one person listed in “ the one-thousand-talents scheme”, two “Young Experts who have Made Nationally Outstanding Contributions”, four teachers who are receiving special subsidies from the State Council, one “Province Renown Teachers in Jiangxi Province”, six members of “Mainstay Young Teachers in Jiangxi Higher Education”, four members of first and second level of “the Provincial Hundred, Thousand and Ten Thousand Talents Project of Jiangxi”, three exclusively employed members of “Jinggang Scholars Project”, three selected in the first group of the “Ganpo 555 Project for Outstanding Talent”, six who are in the Jiangxi scheme for Fostering Leaders in Basic Disciplines and Technology into the New Century.
l Personal Training
The College presently has more than 1600 full-time undergraduate students, more than 200 postgraduates studying for masters’ degrees. The College always emphasizes on cultivating the comprehensive quality of its students. In the recent years, the employment rate of our Bachelor’s degree students at graduation is more than 90%, while those with Master’s degrees is 100%. Our graduates are widely acclaimed by the various walks of life across the country and abroad. Many of them have become experts, professors, Superfine Teachers and the backbone of all walks of life.
l Goals for the Future
The goal of the College is to become a “educational and research College with multi-disciplines emphasizing mathematics and emerging with statics and information sciences”, to solidify its leading role among peer Colleges in the province, and to get into the top tier of peer Colleges nationwide.
l Undergraduate Programs
Mathematics and Applied Mathematics
The education objectives are to make the students master the basic theories and methods of Mathematics. Students can use mathematical knowledge and computing skills to solve practical problems. They can get the fundamental training of scientific research and be qualified to work on researching, teaching, and managing. They can continue their study as graduate students in the involved fields, such as Mathematics and Applied Mathematics, Computer Sciences, Economics, Management Sciences etc. They also can be prepared for any professional role they might to carry on teaching, scientific research and supervisory work in middle or advanced College, research institution, the governmental agency and management section.
The main courses includes Mathematical Analysis , Analytical Geometry , Advanced Algebra, Functional Analysis, Probability Theory & Mathematical Statistic, Ordinary Differential Equation, Partial Differential Equation, Functional of Complex Variables, Functional of Real Variables, Abstract Algebra, Differential Geometry, Operations Research, Numerical Analysis, Topology, Mathematical Modeling, University Physics, University Physics Experiment, Basic Psychology, Basic Pedagogy, Teacher Professional Development, Educational research methods, Subject Curriculum and Teaching Methodology of Mathematics, Modern Instructional Techniques for Mathematics in High College, Graduation Practice, Graduation Project.
Information and Computing Science
This specialty was established in 2000 at our university. It is oriented from the computational mathematics. Information and Computing Science is one of the subordinate specialties of Mathematics. It is the interdisciplinary of Mathematics, Information and Management. It uses mathematics and computers to study information and management. It cultivates talents equipped with excellent mathematical foundation and capability of computer software development. It is required that graduates can use computers to solve real problems in information science or computing science. Graduates are required can develop computer software.
The main courses includes Mathematical Analysis, Higher Algebra, Analytical Geometry, Real Functions and Functional Analysis, Ordinary Differential Equations, Numerical Analysis, Numerical Methods for Differential Equations, Optimization Theory, Discrete Mathematics, Operation system, Data Structure, C Language, Basic theory on Information, Signals and System, Mathematical Modelling, Macro- Economics, Micro-economics, Matlab Language, Theory of Probability, Mathematic Statistics, Principles of Database.
Statistics
The Program of Statistics began in 2003 with the enrollment of the first batch of undergraduate students in Statistics. The professional training of Statistics discipline is to master the basic theories and methods of Statistics and computer skills. The graduates will have good mathematical and statistical literacy, humanistic spirit, scientific literacy, international vision, strong innovation spirit and practical ability.
The major courses of Statistics discipline are divided into five parts: the common compulsory course, professional basic courses, professional major courses, professional elective courses, professional optional courses. For the University degree requirements, a major in Statistics must successfully complete these professional undergraduate Statistics courses: Mathematical Analysis, Advanced Algebra, Probability Theory, Mathematical Statistics, Regression Analysis, Multivariate Statistical Analysis; Analytic Geometry, Ordinary Differential Equation, Sampling Survey, Time Series Analysis, The Use of Statistical Software, Random Process, The Experimental Design, Statistical Simulation, Statistical Quality Management, Nonparametric Statistics, Western economics, Western economics, Complex Variable Function, Operations Research, Real Variable Function, Graduation Practice, Graduation Project.
In the past ten years , The main Graduation options are: Pursuing postgraduate studies, engaging in advanced analysis, prediction and decision-making consulting and management work in bank, securities companies, insurance companies, fund companies, pharmaceutical industries listed companies or government departments
Economic Statistics
Economic statistics is based on the economic data as the research object, including acquisition, generation and transmission of economic data, analysis economic phenomena and economic data behind the complex economic system rules by using the statistical method. The graduates will have good economical and statistical literacy, humanistic spirit, scientific literacy, international vision, strong innovation spirit and practical ability.
The major courses of Statistics discipline are divided into five parts: the common compulsory course, professional basic courses, professional major courses, professional elective courses, professional optional courses. For the University degree requirements, a major in Statistics must successfully complete these professional undergraduate Statistics courses: Mathematical Analysis, Advanced Algebra, Probability Theory, Mathematical Statistics, Regression Analysis, Multivariate Statistical Analysis; Analytic Geometry, Ordinary Differential Equation, Sampling Survey, Time Series Analysis, The Use of Statistical Software, Random Process, The Experimental Design, Statistical Simulation, Statistical Quality Management, Nonparametric Statistics, Western economics, Western economics, National economic accounting , Operations Research, Macroeconomics ,Microeconomics, Graduation Practice, Graduation Project.
The main Graduation options are: Pursuing postgraduate studies, quantitative analysis, market research, quality control, engaging in advanced analysis, prediction and decision-making consulting and management work in bank, securities companies, insurance companies, fund companies, pharmaceutical industries listed companies or government departments
Information management and Information Systems
The information management and information systems major is set up to develop comprehensive high level talents who master the theory, technology and method of the construction and management of information systems, and can undertake tasks as information management, information construction strategic and planning, information systems design and development, development and utilization of information resources, and so on. After the Students graduated, they can work in related fields of information science research, information technology, scientific research departments, industrial and commercial enterprises, financial institutions, institutions and government agencies. Can be engaged in related fields of information management, scientific research, system analysis and design, application development, system diagnosis, system evaluation and maintenance of information technology and education etc. Graduates can also do a master or doctor degree with the major of management science and engineering, economics, economic statistics, finance, computer and software engineering.
A list of discipline&major information
NNo. | Category of discipline | Discipline | Code | Program Name | Level | Years | \Introduction |
11 | Natural Science | Mathematics | 070101 | Mathematics and Applied Mathematics | Bachelor | 4 | The education objectives are to make the students master the basic theories and methods of Mathematics. Students can use mathematical knowledge and computing skills to solve practical problems. They can get the fundamental training of scientific research and be qualified to work on researching, teaching, and managing. They can continue their study as graduate students in the involved fields, such as Mathematics and Applied Mathematics, Computer Sciences, Economics, Management Sciences etc Its duration is 4 years, and these students graduated with a Bachelor of Science degree. |
22 | Natural Science | Mathematics | 070102 | Information and Computing Science | Bachelor | 4 | It is one of the subordinate specialties of Mathematics. It is the interdisciplinary of Mathematics, Information and Management. It uses mathematics and computers to study information and management. It cultivates talents equipped with excellent mathematical foundation and capability of computer software development. It is required that graduates can use computers to solve real problems in information science or computing science. Graduates are required can develop computer software. |
33 | Natural Science | Mathematics | 071401 | Statistics | Bachelor | 4 | The Program of Statistics began in 2003 with the enrollment of the first batch of undergraduate students in Statistics. The professional training of Statistics discipline is to master the basic theories and methods of Statistics and computer skills. The graduates will have good mathematical and statistical literacy, humanistic spirit, scientific literacy, international vision, strong innovation spirit and practical ability. |
44 | Economics | Economics | 020102 | Economic Statistics | Bachelor | 4 | Economic statistics is based on the economic data as the research object, including acquisition, generation and transmission of economic data, analysis economic phenomena and economic data behind the complex economic system rules by using the statistical method. The graduates will have good economical and statistical literacy, humanistic spirit, scientific literacy, international vision, strong innovation spirit and practical ability. |
55 | Management Science and Engineering | Management Science and Engineering | 120102 | Information Management and Information System | Bachelor | 4 | The information management and information systems major is set up to develop comprehensive high level talents who master the theory, technology and method of the construction and management of information systems, and can undertake tasks as information management, information construction strategic and planning, information systems design and development, development and utilization of information resources, and so on. |
66 | Natural Science | Mathematics | 0701 | Academic Master | Master | 3 | To master some classical basic theory of mathematics and professional ability of the research. Including six research directions: nonlinear partial differential equations, applied mathematics, algebra, topology and geometry, complex analysis, information and Computational Science. |
77 | Statics | Statics | 0704 | Academic Master | Master | 3 | To master the background of statistics , the knowledge and skills of data collection, processing, analysis and development, and have the ability to skillfully use computer to process and analyze data. |
86 | Pedagogy | Mathematics | 040201 | Professional Master | Master | 3 | To master the high level education ideas and ability of teaching middle College mathematics, basic cultural qualities, psychological and pedagogical qualities, and the ability in researching on education and teaching. |
A list of the course of undergraduate student
No. | Code | Course Name | Level |
1 | 255509 | Probability Theory | Bachelor |
2 | 255055 | Advanced Algebra II | Bachelor |
3 | 255402 | Mathematical Analysis II | Bachelor |
4 | 255020 | Mathematical Statistics | Bachelor |
5 | 255189 | Advanced AlgebraⅡ | Bachelor |
6 | 255134 | Analytic Geometry. | Bachelor |
7 | 255181 | Mathematical AnalysisⅡ | Bachelor |
8 | 255308 | Ordinary Differential Equation | Bachelor |
9 | 255008 | Sampling Survey | Bachelor |
10 | 254163 | Time Series Analysis | Bachelor |
11 | 255111 | The Use of Statistical Software | Bachelor |
12 | 255116 | The Experimental Design | Bachelor |
13 | 255076 | Random Process | Bachelor |
14 | 255522 | Statistical Simulation | Bachelor |
15 | 255045 | Nonparametric Statistics | Bachelor |
16 | 255117 | Statistical Quality Management | Bachelor |
17 | 262318 | Database design and application | Bachelor |
18 | 259305 | Western economics Ⅰ | Bachelor |
19 | 255417 | Complex Variable Function | Bachelor |
20 | 259112 | Western economics Ⅱ | Bachelor |
21 | 255204 | Operations Research | Bachelor |
22 | 255319 | Computational Methods | Bachelor |
23 | 255316 | Real Variable Function | Bachelor |
24 | 255109 | Risk Theory | Bachelor |
25 | 255192 | Financial Mathematics | Bachelor |
26 | 255144 | The Theory of Matrices | Bachelor |
27 | 255422 | Fuzzy Mathematics | Bachelor |
28 | 255153 | Statistical Data Analysis | Bachelor |
29 | 255156 | Graph Theory | Bachelor |
30 | 255148 | Applied Cryptography | Bachelor |
31 | 255182 | Modern Education Technology for Middle College Mathematics | Bachelor |
32 | 255149 | Combinatorial Mathematics | Bachelor |
33 | 255147 | Selected Readings of Modern Statistics | Bachelor |
34 | 255150 | Categorical Data Analysis | Bachelor |
35 | 255328 | Mathematical Model | Bachelor |
36 | 255086 | | Bachelor |
37 | 255193 | Basic Accounting | Bachelor |
38 | 255108 | The Theory of Interest | Bachelor |
39 | 255009 | Survival Analysis | Bachelor |
40 | 255417 | Differential Geometry | Bachelor |
41 | 255146 | Bayes Statistics | Bachelor |
42 | 259065 | Insurance and Actuarial science | Bachelor |
43 | 255109 | Risk Theory | Bachelor |
44 | 255192 | Financial Mathematics | Bachelor |
45 | 255144 | The Theory of Matrices | Bachelor |
46 | 255422 | Fuzzy Mathematics | Bachelor |
47 | 255153 | Statistical Data Analysis | Bachelor |
48 | 255156 | Graph Theory | Bachelor |
49 | 255148 | Applied Cryptography | Bachelor |
50 | 255182 | Modern Education Technology for Middle College Mathematics | Bachelor |
51 | 255149 | Combinatorial Mathematics | Bachelor |
52 | 255147 | Selected Readings of Modern Statistics | Bachelor |
53 | 255001 | Algorithmic and Programming | Bachelor |
54 | 255308 | Ordinary Differential Equations | Bachelor |
55 | 255198 | Data Structures and Algorithmic | Bachelor |
56 | 260215 | College Physics | Bachelor |
57 | 260216 | Experiments of College Physics | Bachelor |
58 | 255200 | Equations of Mathematics Physics in Computing | Bachelor |
59 | 255201 | Numerical Analysis | Bachelor |
60 | 255038 | Probability Theory | Bachelor |
61 | 255202 | Numerical Methods for Differential Equations | Bachelor |
62 | 255207 | Optimization Theory and Methods | Bachelor |
63 | 255060 | Fundamentals of Accounting | Bachelor |
64 | 262317 | Java Based Object-oriented Programming | Bachelor |
65 | 255198 | Data Structures and Algorithms | Bachelor |
66 | 262318 | Database Design and Application | Bachelor |
67 | 255102 | Microeconomics | Bachelor |
68 | 262319 | Web Technology and Web Design | Bachelor |
69 | 255174 | Multivariate Statistical Analysis | Bachelor |
70 | 255133 | Macroeconomics | Bachelor |
71 | 262320 | JavaEE Software Development | Bachelor |
72 | 255222 | Econometric | Bachelor |
73 | 255207 | Optimization Theory and Method | Bachelor |
74 | 255167 | Enterprise Resources Planning | Bachelor |
75 | 255415 | Information Systems Analysis and Design | Bachelor |
76 | 024005 | Undergraduate Internship Program | Bachelor |
77 | 024001 | Undergraduate Thesis | Bachelor |
A list of the course of master student
No. | Code | Course Name | Level |
1 | 1620002 | Functional Analysis (Academic degree) | Master |
2 | 1620003 | Algebra (Academic degree) | Master |
3 | 1620004 | Modern partial differential equations (Academic degree) | Master |
4 | 1620005 | Elliptic partial differential equations of second order (Academic degree) | Master |
5 | 1620006 | Theory of second order parabolic equations (Academic degree) | Master |
6 | 1620007 | Littlewood-Paley theory and nonlinear partial differential equations (Academic degree) | Master |
7 | 1620008 | Critical point theory and applications (Academic degree) | Master |
8 | 1620009 | Theory of Sobolev spaces (Academic degree) | Master |
9 | 1620010 | The algebraic theory of semigroups (Academic degree) | Master |
10 | 1620011 | Rota-Baxter Algebra (Academic degree) | Master |
11 | 1620012 | Rings and Categories of Modules (Academic degree) | Master |
12 | 1620013 | Elements of semigroup theory (Academic degree) | Master |
13 | 1620014 | Reflection groups (Academic degree) | Master |
14 | 1620015 | General topology (Academic degree) | Master |
15 | 1620016 | Domain Theory (I) (Academic degree) | Master |
16 | 1620017 | Category Theory (Academic degree) | Master |
17 | 1620018 | Differential Manifolds and Riemannian Geometry (Academic degree) | Master |
18 | 1620019 | Partitial Differential Equations in Differential geometry (Academic degree) | Master |
19 | 1620020 | Geometric Analysis (Academic degree) | Master |
20 | 1620021 | The distribution theory of meromorphic functions (Academic degree) | Master |
21 | 1620022 | Entire Functions and Meromorphic Functions (Academic degree) | Master |
22 | 1620023 | Complex Oscillation Theory of Differential Equations (Academic degree) | Master |
23 | 1620024 | Complex Analysis (Academic degree) | Master |
24 | 1620025 | The theory of Dirichlet series (Academic degree) | Master |
25 | 1620026 | Quasiconformal Mappings (Academic degree) | Master |
26 | 1620027 | Triangular Norm (Academic degree) | Master |
27 | 1620028 | Fuzzy set theory and spectral graph theory (Academic degree) | Master |
28 | 1620029 | Graph Theory (Academic degree) | Master |
29 | 1620030 | Mini-Max Methods and Its Applications (Academic degree) | Master |
30 | 1620031 | Introduction to Nonlinear Functional Analysis (Academic degree) | Master |
31 | 1620032 | Applied Functional Analysis (Academic degree) | Master |
32 | 1620033 | Numerical Analysis (Academic degree) | Master |
33 | 1620034 | Numerical methods for PDEs (Academic degree) | Master |
34 | 1620035 | Numerical Optimization (Academic degree) | Master |
35 | 1620036 | Theories and Methods in Applied Mathematics (Academic degree) | Master |
36 | 1620037 | Matrix Analysis (Academic degree) | Master |
37 | 01620201 | Advanced Mathematical Statistics (Academic degree) | Master |
38 | 01620202 | Advanced Probability Theory (Academic degree) | Master |
39 | 01620203 | Linear Model (Academic degree) | Master |
40 | 01620204 | Multivariate Statistical Analysis (Academic degree) | Master |
41 | 01620205 | Statistical computing (Academic degree) | Master |
42 | 01620206 | Bayesian statistics (Academic degree) | Master |
43 | 01620207 | Advanced Casualty Actuarial Science (Academic degree) | Master |
44 | 01620208 | Risk Management and Insurance (Academic degree) | Master |
45 | 01620209 | Advanced Econometrics (Academic degree) | Master |
46 | 01620210 | Intermediate Macroeconomics (Academic degree) | Master |
47 | 01620211 | Multivariate Analysis and Its Application (Academic degree) | Master |
48 | 01620212 | Evidence Theory (Academic degree) | Master |
49 | 01620213 | Probabilistic reasoning Rough Set Theory and Its Applications (Academic degree) | Master |
50 | 01620214 | Data Mining (Academic degree) | Master |
51 | 01620215 | Decision Theory and Model (Academic degree) | Master |
52 | 01620216 | Operational Research and Planning (Academic degree) | Master |
53 | 0163001 | Mathematics curriculum and teaching material research | Master |
54 | 0163002 | Mathematics teaching design and Implementation | Master |
55 | 0163003 | Modern Mathematical Foundation | Master |
56 | 0163004 | Mathematics education measurement and evaluation | Master |
57 | 0163005 | Mathematics education technology and Application | Master |
58 | 0163101 | Psychology of Mathematics Education | Master |
59 | 0163102 | Mathematical Methodology; | Master |
60 | 0163103 | mathematical learning theory; | Master |
61 | 0163104 | History of mathematical culture and Mathematics | Master |
62 | 0163105 | Selected readings in mathematical education and essays | Master |
63 | 0163106 | Algebra Education Research | Master |
64 | 0163107 | Geometry education research | Master |
65 | 0163108 | Statistics and probability Education Research | Master |
66 | 0163109 | Seminar on mathematics curriculum reform | Master |
67 | 0163110 | Seminar on mathematics curriculum reform | Master |
68 | 0163111 | Special topics on the design and production of mathematical courseware | Master |
69 | 0163112 | Special topics in Olympic Mathematics Research | Master |