2025 (Current Year) Faculty Courses School of Engineering Department of Information and Communications Engineering Graduate major in Information and Communications Engineering
Data Communication System
- Academic unit or major
- Graduate major in Information and Communications Engineering
- Instructor(s)
- Kazunari Genko / Tomoya Takahata / Tomoyuki Kato / Yu Takeyama
- Class Format
- Lecture (Face-to-face)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 7-8 Mon (S3-206(S323)) / 7-8 Thu (S3-206(S323))
- Class
- -
- Course Code
- ICT.C417
- Number of credits
- 200
- Course offered
- 2025
- Offered quarter
- 3Q
- Syllabus updated
- Oct 2, 2025
- Language
- Japanese
Syllabus
Course overview and goals
The data communication system is an online system that makes full use of network technology, and has become the infrastructure that supports the core of Japan's economic activities in all sectors such as finance, distribution, and manufacturing. In addition, this area is made up with the integration of a wide range of technology and knowledge. This course provides understanding of the basic theory of various technologies that form the core of the online system, and explains the practical design methods of the data communication system, while citing typical design cases.
Course description and aims
By the end of this course, students will be able to
1) Understand the basic theory of various technologies that form the core of the online system.
2) Obtain the actual design method of data communication systems through typical design cases.
3) Know the overall picture of data communication systems.
4) Know the latest technology trends of IT systems.
Student learning outcomes
実務経験と講義内容との関連 (又は実践的教育内容)
Every lectures are currently working on NTT data Inc. .
Keywords
computer, network, online system, data communication, finance, distribution, and manufacturing systems, system design, cloud, cyber security, AI, IoT
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
The lecturer explains topics in every class.
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Overview |
Understand Overview of Data Communication System |
| Class 2 | AI |
Understand Basic Concept and Application of AI |
| Class 3 | Cloud Technology (Overview) |
Understand Cloud Technology Overview |
| Class 4 | Non-functional Requirement (Availability Design) |
Understand Availability Design |
| Class 5 | Non-functional Requirement (Performance and Operation Design) |
Understand Performance and Operation Design |
| Class 6 | ITIL (Operational Proess) |
Understand ITIL |
| Class 7 | Development Process |
Understand Development Process |
| Class 8 | Cloud Technology (Virtualization) |
Understand Virtualization |
| Class 9 | Cloud Technology (Container) |
Understand Container |
| Class 10 | Project Management |
Understand Project Management |
| Class 11 | Cloud Technology (Public Cloud) |
Understand Public Cloud |
| Class 12 | IT Consulting |
Understand IT Consulting |
| Class 13 | Information Society and its Technology Trend in Near Future |
Understand Information Society and its Technology Trend in Near Future |
| Class 14 | System Example (Public government and Private Company) |
Understand System Example |
Study advice (preparation and review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
None
Reference books, course materials, etc.
Course materials used in class can be found on LMS
Evaluation methods and criteria
The achievement will be evaluated by the final exam, while the attendance will be considered.
Related courses
- None
Prerequisites
None required.