| Course title | |||||
| 情報理論 [Information Theory] | |||||
| Course category | technology speciality courses,ets. | Requirement | Credit | 2 | |
| Department | Year | 2～4 | 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 |
| 3/2/2018 12:18:20 PM |