Nanjing University is located in Nanjing, capital of Jiangsu Province, a community of over 8 million people. It is recognized as one of the research and education centers in China.
As one of the members of the iSchools organization, the School of Information Management at Nanjing University is one of the earliest education institutions in China, and is ranked among the top 2 of such schools or departments of Library and Information Science in 2012.
The School consists of 55 faculty and staff members, over 400 undergraduate students over 300 master students and 60 PhD students. The School offers multi-level programs from undergraduate to PhD.
The 4 undergraduate programs are:Information Management & Information Systems； Library Science ； Archive Science；Editing and Publishing Science
The 5 master & doctoral programs are:Information Science； Library Science； Archive Science； Editing and Publishing； Information Resources Management
In addition, it offers 2 professional master’s programs from 2010,Library & Information Science, Publishing Science, which focus on training application-oriented talents.
The faculties’ researches focus on numerous fields of LIS, such as: Knowledge organization； Internet user behavior； Information service in Web 2.0 ； Information security； Digital library management； Digital library development ；Science and social science evaluation；Library user and reading behavior； Archival resource management；Digital publishing, etc.
In the past five years, the School has undertaken over 80 projects, including 33 projects funded by National Natural Science Foundation or National Social Science Foundation of China; 34 projects funded by the Ministry of Education or provincial government in China.
Welcome to School of Information Management at Nanjing University for Visiting and Collaboration!
The Information Management and Information Systems program at Nanjing University develops knowledge and skills in the application of information technology to problems and opportunities in business and society.
The program is particularly well suited for students who enjoy solving problems while working with computer networks, software, database management systems, ERP systems, and e-commerce systems. Our courses include Data Mining, Artificial Intelligence, Multi-media Information Retrieval, Programming Languages, SQL Server, Citation Analysis, Internet Information Resource, Digital Libraries, E-Commerce, Image Retrieval, Metadata, Network Marketing, etc. Most of the courses are now web-based. This specialty has become one of the quality majors in Jiangsu Province.
Graduates can be engaged in positions in the financial services industry such as banking, accounting, insurance, or financial departments of large organizations,handling operations of information systems, IT consultancy, operational flow designs and decision supports. they can become data analysts, business analysts, systems analysts, or e-business specialists paving the way for promotion to management roles.
Graduates of Information Sciences should systematically grasp the basic theory and technology of modern information management, and have the ability to engage in the study of information science, modern information management, and information system analysis & design. Core courses include Technology of Information Resource Management, Principles of Information Science, Theory and Method of Information Science, Information Processing and Retrieval Technology. Students can create their own unique blend by combining courses from different majors, depending on individual interest or career ambitions.
Graduates can be engaged in positions in the financial services industry such as banking, accounting, insurance, or financial departments of large organizations, handling operations of information systems, IT consultancy, operational flow designs and decision supports. Also They can become data analysts, business analysts, systems analysts, e-business specialists or further study for PHD .
The Nanjing University has a long tradition of promoting and encouraging research excellence and it is ranked the top 10 of universities in China. As one of the members of the iSchools organization, the School of Information Management at Nanjing University is one of the earliest education institutions in China, and is ranked among the top 2 of such schools or departments of Library and Information Science in 2012. At Nanjing University the degree of Doctor of Information science involves extensive, sustained and original research and study in a subject of information science, with the results being presented in a thesis which will contribute to intellectual knowledge of the field.
Information science research in Nanjing University mainly focus on knowledge organization, Internet user behavior, Information service in Web 2.0, Information security, scientometrics, Science and social science evaluation, Archival resource management. The Doctoral Program in Information science aims at training researchers to conduct R&D activities in the field of information in an autonomous way.
The program has a 3-year duration. At the first year students should finish 2 courses which are designed to allow students to get familiar with important literature to their field and the existing research approaches and methods, also during this period students need to prepare their doctorate’s project proposal which should be finisher at the third semester. The remaining time is dedicated to the research development and writing the doctorate dissertation.
Young graduates that seek to prepare for research or academic careers or professionals that seek to increase their knowledge and skills are welcome to apply this programme.
The main contents of this course include: (1) Introduce the main technology of data warehouse and data mining, and the relationship between data warehouse, data mining and information management, (2) The basic concept, function, process and method of data mining, (3) The latest data mining technology, (4) Discuss the feature extraction and indexing of text content from the theoretical and practical aspects, expounds the theory and technology of text classification and clustering and the difference between them. It also discusses the method and system implementation of automatic summarization, the application of information filtering technology and the relationship between it and text mining technology, (5) Discuss the application of data mining technology in competitive intelligence system, including relationship mining, index value automatic extraction, competitor analysis, customer relationship management and so on.Through this course, students can understand the background, the concept and the development of data mining, and grasp the relevant methods and techniques.
The main contents of this course are divided into five parts:(1) The basis and model of Electronic Commerce, (2) The security and settlement of Electronic Commerce, (3) The marketing and logistics of Electronic Commerce, (4) The laws and regulations of Electronic Commerce, (5) The design and application of electronic commerce system.
Human-computer interaction (HCI) is the subject to research the design, implementation and evaluation of the interactive computing systems used by human beings. The main contents of this course include: (1) The nature of HCI (HCI model), (2) Computer applications and scenarios (social organization and work, application field, human-computer adaptation), (3) Characteristics of human (Human information processing, language, communication and interaction), (4) Computer systems and interface construction (input and output devices, dialogue technology, dialog style, human-computer interaction, Computer graphics, dialog architecture), (5) Development process (design methodology, implementation techniques, evaluation techniques, example systems and case studies, project demonstrations and Ergonomics).
This course is opened for the senior undergraduates. It clarifies the theories and methods of scientometrics through the methods of measuring measurement, measurement index, measurement application and so on. The contents cover bibliometrics, scientific metrology, network metrology, etc. It will use international data sources, like WIS, ISI-ESI, ISI-JCR, DII, and measurement analysis software tools to carry out quantitative analysis of research, aimed to gradually develop the quantitative research skills of students. Specifically, the course will emphasize: (1) The Empirical Rules of scientometrics, like Bradford's Law, Lotka's Law, Zipf's Law, The Law of Price, Brookes' Law, (2) Research methods of scientometrics, including mathematical deduction analysis and statistical induction study, (3) Research frontiers in scientometrics. This course will lay a solid foundation for students' knowledge of scientometrics, and it asks students to master the basic methods of scientometrics, and to understand the frontiers of scientometrics.
The course introduces the characteristics, nature and distribution of information resources, as well as the main stages and various theoretical schools of information resource management. The course also helps to get familiar with information resource management techniques, and how to evaluate the quality of information resources. Through this course students with different disciplines backgrounds can broaden their horizons and learn how to use the characteristics of information resources to analyze their application field, such as economic, technical, humanistic energy and so on. Then they will have a further understanding of the development and the new trend of information resource management.
This course is open to provide undergraduates with understanding the basic theory and methodology of management information systems analysis and design, and help students to build their practical capabilities and skills for fulfilling information systems analysis and design projects. Specifically, the course will emphasize on:(1) Experiential learning through assignments and projects, (2) Collaborative learning important concepts, techniques, and skills with peers through class discussions and project conduction.
This course explores the major issues in both design and implementation of modern programming languages and provides a basic introduction to the underlying theoretical models on which these languages are based. The emphasis throughout is on fundamental concepts—students learn important ideas, not minor language differences--but several languages are highlighted in sufficient detail to enable readers to write programs that demonstrate the relationship between a source program and its execution behavior--e.g., C, C++, JAVA, ML, LISP, Prolog, Smalltalk, Postscript, HTML, PERL, FORTRAN, Ada, COBOL, BASIC SNOBOL4, PL/I, Pascal. Begins with a background review of programming languages and the underlying hardware that will execute the given program; then covers the underlying grammatical model for programming languages and their compilers (elementary data types, data structures and encapsulation, inheritance, statements, procedure invocation, storage management, distributed processing, and network programming).
This course contains two parts: Theory and Application.
The theory of this course is divided into three parts: The first part is about the basic knowledge of database, database system, data model, database management system and relational database. The second part focuses on the design of the database, and helps students to learn how to use the database system software. The third part mainly introduces the security, concurrency control and recovery of database system.
Besides the study of theory, the course also includes application which focuses on the practice of SQL 2005, the requirement definition of database design, the conceptual model design and the logical model design of the database management system. Students should fully grasp the basic operations of the mode, the basic table and the view, such as add, delete, update, some initial statements and how to draw the ER diagram.
In this course each supervisorof information science will give a detailed introduction to their research program and frontiers of their research area. How to conduct a scientific research, how to write a formal research paper and how to be a qualified doctorate student will also be discussed in this course. Different supervisor has different research interests which mainly focused on knowledge organization, Internet user behavior, Information service in Web 2.0, E-commerce, Information security, scientometrics, Science and social science evaluation, Archival resource management and so on.
Students should read top literature and conduct research program assigned by his own supervisor. Also they should share their new ideas with team members and report their progress every week. At the same time they should finish research papers founded by different research foundation.
This course is divided into two parts. On the one hand, it comprehensively expounds the research of information retrieval, including the introduction of information retrieval, mathematical model of information retrieval, text information retrieval technology, multimedia information retrieval and so on. On the other hand, it focuses on the multimedia information processing, which is mainly concerned with the basic content and characteristics of multimedia information, related application software , the processing and development of different signal(i.e., speech signal, image signal ,video signal), etc.
This course explains the basic concepts and measure methods of information. On this basis, the principles of information science and its architecture are described. In addition, this course introduces the application of information science in the field of natural science and social science.
This course introduces many kinds of information resource management technology in a comprehensive way, including information collection technology, information storage and organization technology, automatic information processing technology, information retrieval technology, information analysis technology, information service technology and so on.
As the main course of information science, this course introduces the basic theories and research methods of information science so as to enable students to systematically and deeply understand the historical evolution and theoretical schools of information science, learn the basic principles and research contents, grasp the information research methods and related information analysis software. In addition, it presents the research progress of information science, which provides students a comprehensive review of information science.