วันอังคารที่ 2 พฤศจิกายน พ.ศ. 2553

แผนการสอน Information Theory

204552 Information Theory and Coding

Prerequisite

None

Schedule

Tuesday 13-16; Section 11 (Room 501)

Instructors

Associate Professor Dr.Punpiti Piamsa-nga (pp@ku.ac.th)

Course Description

Mathematical model for information channel and sources, algebraic theory of cyclic codes, error-control procedures and circuits, and application of computer and data transmission systems.

Grading

Midterm (40  %)  Final (50 %)  Class participation (10%)

 

Score<40
F
40< Score49
D
50< Score54
D+
55< Score64
C
65< Score69
C+
70< Score74
B
75< Score79
B+
Score > 80
A

Textbook

Thomas M. Cover, Joy A. Thomas, Elements of Information Theory, 2nd Edition ISBN: 978-0-471-24195-9, 776 pages July 2006, ©2006

(Required)
Escolano Ruiz, Francisco, Suau Pérez, Pablo, Bonev, Boyán Ivanov, Information Theory in Computer Vision and Pattern Recognition 2nd Printing., 2009, XVIII, 394 p.  ISBN: 978-1-84882-296-2

Readings

Research papers distributed in class

 

Schedule

#
Date
Lectures
1
Nov 2
Entropy, Relative Entropy, and Mutual Information
2
Nov 9
Asymptotic Equipartition Property
3
Nov 16
Entropy Rates of a Stochastic Process
4
Nov 23
Data Compression
5
Nov 30
Gambling and Data Compression
6
Dec 7
Channel Capacity
7
Dec 14
Differential Entropy

Dec 21
Midterm
8
Dec28
Gaussian Channel
9
Jan 4
Rate Distortion Theory
10
Jan 11
Information Theory and Statistics
11
Jan 25
Maximum Entropy
12
Feb 1
Universal Source Coding (Kaset Fair Week)
13
Feb 8
Kolmogorov Complexity
14
Feb 15
Network Information Theory
15
Feb 22
Information Theory and Portfolio Theory

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