Course name: Basic Theory of Information Science

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Course name: Basic Theory of Information Science

Teaching medium: Bilingual (Chinese and English)


2 credit, 24 Class Hours, 1st Semester etc.

This course mainly teaches the latest development of information science theory research both at home and abroad, including the principle of information science, information sources, users and information requirements, information exchange, information collecting, sorting, analysis, processing, etc., enable graduate students to more comprehensively and systematically master the basic theory of information science both at home and abroad, thus provided a basis for engaged in information science research and practice.


Method 1: Lecture

Method 2: Seminar

Method 3: Group theme report.

C. COURSE OBJECTIVES(five or six objectives; general but comprehensive)
Objective 1: To understand relevant concepts of information science, research objects, information sources and their types, and information generation process.

Objective 2: To understand the intelligence users and their intelligence needs, the patterns of information exchange and transmission, the obstacles and controls of information exchange.

Objective 3: To understand the processing and organization of information, master various information retrieval languages, and be proficient in using various logical operators and searching major databases at home and abroad.

Objective 4: To master the methods of information collection and analysis, thinking methods of information research, and empirical rules of information science.
Objective 5: Master the commonly used information science research methods.


Chapter 1 Relevant Concepts of Information Science (2 Class Hours)

1.1 Analysis of basic concepts

1.2 Information Science, Library Science and Information Science

1.3 The correlation between information science and other disciplines

1.4 Research objects of information science

Chapter 2 Information Generation and Information Sources (2 Class Hours)

2.1 Information in scientific experiments

2.2 Social existence and variation are manifested as intelligence

2.3 Features of information generation and product evaluation

2.4 Information sources and their types

2.5 Modern trend of information sources

Chapter 3 User and Information Needs (2 Class Hours)

3.1 Intelligence Users

3.2 Information Needs

3.3 Specific information needs of each intelligence user

Chapter 4 Information Exchange (2 Class Hours)

4.1 Overview of information exchange

4.2 Information transmission mode

4.3 Obstacles and controls of information exchange

Chapter 5 Information Processing, Organization and Retrieval (2 Class Hours)

5.1 Information enrichment

5.2 Data consolidation

5.3 Chart display

5.4 Information storage

5.5 Information Processing

5.6 Intelligence organization methods

5.7 Information retrieval

Chapter 6 Information Collection and Analysis (2 Class Hours)

6.1 Methods of intelligence gathering

6.2 Collection of background information

6.3 Search of scientific and technological literature

6.4 Investigation of the actual situation

6.5 Types of intelligence analysis

6.6 Operating principles of intelligence analysis

6.7 Process and steps of intelligence analysis

Chapter 7 Empirical Rules of Information Science (2 Class Hours)

7.1 Bradford’s Law

7.2 Lotka’s Law

7.3 Ziff’s Law

7.4 Law of literature growth

7.5 Aging law of literature

Chapter 8 Thinking Methods of Information Research (2 Class Hours)

8.1 Comparison and Classification

8.2 Induction and deduction

8.3 Analysis and synthesis

8.4 Imagination and analogy

Chapter 9 Information Science Research Methodology (2 Class Hours)

9.1 Overview of information research methods

9.2 Citation analysis

9.3 Delphi method

9.4 Expression of intelligence research results

9.5 Evaluation of information research results

Chapter 10 Bibliometrics Methods (2 Class Hours)

10.1 Overview and characteristics

10.2 Principle and expansion

10.3 Case analysis

12.5 Analysis of length

Chapter 11 Input-Output Method (2 Class Hours)

11.1 an overview of the

11.2 Principles and Classification

11.3 Application examples

11.4 Application skills

11.5 Input-output model examples and optimization

Chapter 12 Other Information Research Methods (2 Class Hours)

12.1 Multivariate analysis

12.2 Trend extrapolation

12.3 Time series method

12.4 Model simulation method

12.5 Optimization methods

12.6 Analytic Hierarchy Process

Textbook (required):

[1] Sha Yongzhong, Niu Chunhua et al. Information Analysis. Beijing: Science Press, 2016

[2] By Ma Feicheng, Song Enmei and Zhao Yiming. Fundamentals of Information Management. Wuhan: Wuhan University Press, 2018

Supplies and/or tools:
[1] Ye Ying et al. Information Science Basic Course.Beijing: Science Press, 2012

1. In-class participation (40%): (1) Full attendance; (2) Active participation in class discussion.

2. Research paper (60%): (1) At least 3000 words; (2) Complete article structure; (3) Good topics and innovation; (4) Compliance with academic ethics, no plagiarism.


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Telephone: (0086 511)88780101
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