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- School of Science
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School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
- Undergraduate major in Information and Communications Engineering
- Undergraduate major in Industrial Engineering and Economics
- Common courses
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
- School of Environment and Society
- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
-
School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Graduate major in Mathematical and Computing Science
- Instructor(s)
- Ishizaki Fumio
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Intensive ()
- Group
- -
- Course number
- MCS.T414
- Credits
- 2
- Academic year
- 2018
- Offered quarter
- 3-4Q
- Syllabus updated
- 2018/10/2
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
This course gives an introduction to information theory, large deviation theory and their applications to communication networks.
Student learning outcomes
This course aims the students to have the knowledge of information theory, large deviation theory and their applications to communication networks.
Keywords
Information Theory, Large Deviation Theory, Communication Networks
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | Practical and/or problem-solving skills |
Class flow
This course gives several lectures on large deviation theory, information theory and their applications to communication networks.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | First, this lecture introduces the fundamental of the large deviation theory and explains some applications. Second, the lecture introduces the fundamental of the information theory and explains some applications. - An overview of the large deviation theory - Applications of the large deviation theory (to the theory of available bandwidth, performance evaluation, control and design of communication networks, etc.) - The fundamental of the information theory - Applications of the information theory (to wireless communication networks, etc.) | Understanding the contents covered by the course. |
Textbook(s)
None.
Reference books, course materials, etc.
Lecture notes will be given in the lectures.
Assessment criteria and methods
An exam or report assignment.
Related courses
- MCS.T212 ： Fundamentals of Probability
- MCS.T333 ： Information Theory
- MCS.T223 ： Mathematical Statistics
- MCS.T312 ： Markov Analysis
Prerequisites (i.e., required knowledge, skills, courses, etc.)
Fundamental knowledge of probability and statistics helps your understanding.
