DB004105-現代信息論

發布者:王源發布時間:2018-04-23浏覽次數:1845

研究生課程開設申請表

 開課院(系、所):beat365正版唯一       

 課程申請開設類型: 新開□     重開     更名□請在内打勾,下同

課程

名稱

中文

現代信息論

英文

Selected Topics in Information Theory

待分配課程編号

DB004105

課程适用學位級别

博士

√   

碩士


總學時

48

課内學時

48

學分

3

實踐環節


用機小時


課程類别

公共基礎     專業基礎       專業必修     專業選修

開課院()

beat365正版唯一

開課學期

秋季

考核方式

A. √筆試(開卷   閉卷)      B. 口試    

C.筆試與口試結合                 D. □其他

課程負責人

教師

姓名

王橋

職稱

教授

e-mail

qiaowang@seu.edu.cn

網頁地址


授課語言

中文

課件地址


适用學科範圍

信号與信息處理

所屬一級學科名稱

信息與通信工程

實驗(案例)個數


先修課程


教學用書

教材名稱

教材編者

出版社

出版年月

版次

主要教材

Elements of Information Theory

Cover
Thomas

Wiley

20067

2

主要參考書

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、課程介紹(含教學目标、教學要求等)300字以内)

掌握Shannon的随機編碼的基本理論背景,着重理解漸近等分布性質、典型序列及其在Shannn理論中的作用,了解數據壓縮與信道容量的理論極限,初步掌握率-失真理論與假設檢驗的主要知識,了解多用戶信息論的基礎知識以及網絡編碼的基本概念。


二、教學大綱(含章節目錄):(可附頁)

熵與信息的測量

數據壓縮

數據壓縮與賭博

信道容量

最大熵與譜估計

信息論與統計學的關聯

-失真理論

網絡信息論

信息論的應用


三、教學周曆

 周次

 教學内容

 教學方式

1

熵與信息的測量

 講課

2

數據壓縮

 講課

3

數據壓縮

 講課

4

數據壓縮

 講課

5

小結

 讨論

6

信道容量

 講課

7

信道容量

 講課

8

信道容量

 講課

9

 小結

 讨論

10

最大熵與譜估計

 講課

11

信息論與統計學的關聯

 講課

12

-失真理論

 講課

13

-失真理論

 講課

14

網絡信息論

 講課

15

網絡信息論

 講課

16

網絡信息論

 講課

17

信息論的應用

 講課

18

 總結

 讨論


四、主講教師簡介:

王橋,beat365正版唯一教授、博士生導師。信号與信息處理國家重點學科主任。19663月出生。在武漢大學獲得理學學士(1988)、碩士(1994)和博士(1997)學位,2001年晉升為教授,2003年批準為博士生導師。20031月——20041月在美國哈佛大學任高級訪問學者。主要從事信号處理、圖像處理與傳輸及其相關的數據挖掘等課題研究。曆年來主持國家自然科學基金等科研項目,并且合作承擔了科技部863計劃項目、江蘇省産學研科技成果轉化項目等,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》等國際著名期刊發表過學術論文。

五、任課教師信息(包括主講教師):

 任課

 教師

 學科

 (專業)

 辦公

 電話

 住宅

 電話

 手機

 電子郵件

 通訊地址

 郵政

 編碼

 王橋

 通信與信息
系統




qiaowang@seu.edu.cn

 beat365正版唯一

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

現代信息論

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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