Course title
情報理論   [Information Theory]
Course category technology speciality courses,ets.  Requirement   Credit 2 
Department   Year 24  Semester Spring 
Course type Spring  Course code 022808
Instructor(s)
杉浦 慎哉   [SUGIURA Shinya]
Facility affiliation Faculty of Engineering Office   Email address

Course description
This course (in Japanese) offers an introduction to the quantitative theory of information and its applications to reliable, efficient communication systems. Topics include mathematical definition and properties of information, source coding theorem, communication channels, channel coding theorem.
Expected Learning
Learners who successfully complete this course will be able to understand:
- the fundamental limits of data compression
- the fundamental limits of error correction
- the notion of entropy and information
Course schedule
1. Introduction
2. Probability theory
3. Probability distribution
4. Probability process
5. Quantization
6. Definition of information
7. Examination 1
8. Source and channel models
9. Mutual information and capacity
10. Basics of coding
11. Source coding
12. Channel coding
13. Linear algebra
14. Coding theory
15. Examination 2
Prerequisites
Required Text(s) and Materials
S. Miki and H. Yoshikawa, "Information theory," 2000, ISBN:978-4-339-01202-6.
References
Assessment/Grading
midterm & final examinations
Message from instructor(s)
Course keywords
Office hours
Remarks 1
Remarks 2
Related URL
Lecture Language
Japanese
Language Subject
Last update
3/2/2017 12:17:04 PM