▶Japanese
Post to SNS
- Academic unit or major
- Academy for Super Smart Society
- Instructor(s)
- Nakao Hiroya Sampei Mitsuji Fukuda Eisuke Hatanaka Takeshi Nishihara Akinori Yu Tao Yoshihara Kiyohito Yoshida Hiroshi Iwai Takanori Kanehara Takahide Nakaya Makoto
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- -
- Group
- -
- Course number
- SSS.S402
- Credits
- 1
- Academic year
- 2023
- Offered quarter
- 3Q
- Syllabus updated
- 2023/3/20
- Lecture notes updated
- -
- Language used
- English
- Access Index
-
Course description and aims
A series of lectures on cutting-edge issues in solving real-world problems and realizing super smart society will be provided to master-course and doctor-course students enrolled in the WISE (World-leading Innovative & Smart Education) program for Super Smart Society, in cooperation with the Super Smart Society Promotion Consortium. *** The lectures will be provided by on-demand videos in Japanese with English subtitles. ***
Student learning outcomes
Students will be able to explain IoT, smart robotics, smart cities, etc. which use the latest communication and digital technologies, with actual examples.
Course taught by instructors with work experience
| ✔ Applicable | How instructors' work experience benefits the course |
|---|---|
| Provided by external lecturers who have professional expertise at the companies associated with the Super Smart Society Promotion Consortium. |
Keywords
Super-Smart Society, IoT, Robotics, Smart City, 5G, Social Implementation, Development of Society
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | ✔ Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
A series of lectures by several lecturers will be delivered on demand (along with ppt slides, depending on the lecturer). Students can promptly ask questions or communicate with each other via T2SCHOLA bbs system. Feedback from lecturers will be given via T2SCHOLA.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Advanced robot control technologies utilizing communication networks | Specified in the lecture |
| Class 2 | KDDI Research's Challenge toward Post 5G/6G Era | Specified in the lecture |
| Class 3 | Latest Research and Development on IoT in KDDI Research | Specified in the lecture |
| Class 4 | Smart Manufacturing and Data Utilization (part 1) | Specified in the lecture |
| Class 5 | Smart Manufacturing and Data Utilization (part 2) | Specified in the lecture |
| Class 6 | Network control technology for supporting remote robot control | Specified in the lecture |
| Class 7 | Operational revolution for process industry with digital twin | Specified in the lecture |
Out-of-Class Study Time (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 afterward (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
Specified in the lecture
Reference books, course materials, etc.
Specified in the lecture
Assessment criteria and methods
Grading will be based on the discussions with other students and lecturers about the contents of the lecture videos.
Related courses
- SSS.S401 ： Super Smart Society Innovation A1: Frontiers in Quantum Technology
- SSS.S403 ： Super Smart Society Innovation A3: Frontiers in Smart Agriculture
Prerequisites (i.e., required knowledge, skills, courses, etc.)
None
