DB004105-现代信息论

发布者:王源发布时间:2018-04-23浏览次数:1845

研究生课程开设申请表

 开课院(系、所):信息科学与工程学院       

 课程申请开设类型: 新开□     重开     更名□请在内打勾,下同

课程

名称

中文

现代信息论

英文

Selected Topics in Information Theory

待分配课程编号

DB004105

课程适用学位级别

博士

√   

硕士


总学时

48

课内学时

48

学分

3

实践环节


用机小时


课程类别

公共基础     专业基础       专业必修     专业选修

开课院()

信息科学与工程学院

开课学期

秋季

考核方式

A. √笔试(开卷   闭卷)      B. 口试    

C.笔试与口试结合                 D. □其他

课程负责人

教师

姓名

王桥

职称

教授

e-mail

qiaowang@seu.edu.cn

网页地址


授课语言

中文

课件地址


适用学科范围

信号与信息处理

所属一级学科名称

信息与通信工程

实验(案例)个数


先修课程


教学用书

教材名称

教材编者

出版社

出版年月

版次

主要教材

Elements of Information Theory

Cover
Thomas

Wiley

20067

2

主要参考书

Information Theory, Inference, and Learning Algorithms

D. Mackay

University of Cambridge

2003


1

A First Course in Information Theory

R. Yeung

Springer

2002

1

Information Theory and Statistics

S
Kullback

Dover 重印

1997

1


一、课程介绍(含教学目标、教学要求等)300字以内)

掌握Shannon的随机编码的基本理论背景,着重理解渐近等分布性质、典型序列及其在Shannn理论中的作用,了解数据压缩与信道容量的理论极限,初步掌握率-失真理论与假设检验的主要知识,了解多用户信息论的基础知识以及网络编码的基本概念。


二、教学大纲(含章节目录):(可附页)

熵与信息的测量

数据压缩

数据压缩与赌博

信道容量

最大熵与谱估计

信息论与统计学的关联

-失真理论

网络信息论

信息论的应用


三、教学周历

 周次

 教学内容

 教学方式

1

熵与信息的测量

 讲课

2

数据压缩

 讲课

3

数据压缩

 讲课

4

数据压缩

 讲课

5

小结

 讨论

6

信道容量

 讲课

7

信道容量

 讲课

8

信道容量

 讲课

9

 小结

 讨论

10

最大熵与谱估计

 讲课

11

信息论与统计学的关联

 讲课

12

-失真理论

 讲课

13

-失真理论

 讲课

14

网络信息论

 讲课

15

网络信息论

 讲课

16

网络信息论

 讲课

17

信息论的应用

 讲课

18

 总结

 讨论


四、主讲教师简介:

王桥, 教授、博士生导师。信号与信息处理国家重点学科主任。19663月出生。在武汉大学获得理学学士(1988)、硕士(1994)和博士(1997)学位,2001年晋升为教授,2003年批准为博士生导师。20031月——20041月在美国哈佛大学任高级访问学者。主要从事信号处理、图像处理与传输及其相关的数据挖掘等课题研究。历年来主持国家自然科学基金等科研项目,并且合作承担了科技部863计划项目、江苏省产学研科技成果转化项目等,在包括《IEEE  Transactions on Signal Processing》、《Journal of Physics》、《Computers and Mathematics with Applications》、《Nano Letters》、《Frontiers in Bioscience》、《Image and Vision Computing》、《Computer Vision and Image Understanding》、《Wireless Personal Communications》等国际著名期刊发表过学术论文。

五、任课教师信息(包括主讲教师):

 任课

 教师

 学科

 (专业)

 办公

 电话

 住宅

 电话

 手机

 电子邮件

 通讯地址

 邮政

 编码

 王桥

 通信与信息
系统




qiaowang@seu.edu.cn

 

210096



Application Form For Opening Graduate Courses

School (Department/Institute)School of Information Science and Engineering

Course Type: New Open □   Reopen     Rename □Please tick in □, the same below

Course Name

Chinese

现代信息论

English

Selected Topics in Information Theory

Course Number

DB004105

Type of Degree

Ph. D

√   

Master


Total Credit Hours

48

In Class Credit Hours

54

Credit

3

Practice


Computer-using Hours


Course Type

Public Fundamental    □Major FundamentalMajor Compulsory     □Major Elective

School (Department)

School of Information Science and Engineering

Term

Fall

Examination

A.PaperOpen-book   □ Closed-bookB. □Oral   

C.Paper-oral Combination                       D. □ Others

Chief

Lecturer

Name

WANG Qiao

Professional Title

Professor, Doctoral Students Supervisor

E-mail

qiaowang@seu.edu.cn

Personal Website


Teaching Language used in Course

Chinese

Teaching Material Website


Applicable Range of Discipline

Signal and Information Processing

Title of Discipline

Information and Communication Engineering

Number of Experiment


Preliminary Courses


Teaching Books

Textbook Title

Author

Publisher

Year of Publication

Edition Number

Main Textbook

Elements of Information Theory

Cover
Thomas

Wiley

2006

2

Main Reference Books

Information Theory, Inference, and Learning Algorithms

D. Mackay

University of Cambridge

2003


1

A First Course in Information Theory

R. Yeung

Springer

2002

1

Information Theory and Statistics

SKullback

Dover

1997

1


  1. Course Introduction (including teaching goals and requirements) within 300 words:

Understanding the measurement of information, the concepts concerning AEP and typical equaences etc, as well as rate-distortion theory and hypothesis test, the multi-user information theory and network coding.





  1. Teaching Syllabus (including the content of chapters and sections. A sheet can be attached):

Entropy, and Measuring the Information

Data Compression

Gambling and Data Compression

Channel Capacity

Maximum Entropy and Spectral Estimation

Information Theory and Statistics

Rate Distortion Theory

Network Information Theory

Information Theory and the Stock Market





  1. Teaching Schedule:


Week

Course Content

Teaching Method

1

Entropy, and Measuring the Information

Lecture

2

Data Compression

Lecture

3

Data Compression

Lecture

4

Data Compression

Lecture

5

Presentation of exercises

Seminar

6

Channel Capacity

Lecture

7

Channel Capacity

Lecture

8

Channel Capacity

Lecture

9

Presentation of exercises

Seminar

10

Maximum Entropy Spectral Estimate

Lecture

11

Information Theory and Statistics

Lecture

12

Rate Distortion Theory

Lecture

13

Rate Distortion Theory

Lecture

14

Network Information Theory

Lecture

15

Network Information Theory

Lecture

16

Network Information Theory

Lecture

17

Applications of Information Theory

Lecture

18

Summary

Seminar

Note: 1.Above one, two, and three items are used as teaching Syllabus in Chinese and announced on the Chinese website of Graduate School. The four and five items are preserved in Graduate School.


2. Course terms: Spring, Autumn , and Spring-Autumn term.  

3. The teaching languages for courses: Chinese, English or Chinese-English.

4. Applicable range of discipline: public, first-class discipline, second-class discipline, and third-class discipline.

5. Practice includes: experiment, investigation, research report, etc.

6. Teaching methods: lecture, seminar, practice, etc.

7. Examination for degree courses must be in paper.

8. Teaching material websites are those which have already been announced.

9. Brief introduction of chief lecturer should include: personal information (date of birth, gender, degree achieved, professional title), research direction, teaching and research achievements. (within 100-500 words)


  1. Brief Introduction of Chief lecturer:

WANG Qiao, Professor




  1. Lecturer Information (include chief lecturer)


Lecturer

Discipline

(major)

Office

Phone Number

Home Phone Number

Mobile Phone Number

Email

Address

Postcode

WANG Qiao

Signal and Information Processing




qiaowang@seu.edu.cn

Dept. of Radio Eng.

Southeast Univ. Nanjing, China

210096







7




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