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. ***
The aim of this course is to help students cultivate high-level understanding of both quantum science and a super-smart society, professional expertise in specialized fields related to both cyber space and physical space technologies, and critical-thinking skills to solve multidisciplinary social issues.
|✔ 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.|
Super-Smart Society, IoT, Robotics, Smart City, 5G, Social Implementation, Development of Society
|✔ Specialist skills||Intercultural skills||Communication skills||✔ Critical thinking skills||✔ Practical and/or problem-solving skills|
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|
|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|
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.
Specified in the lecture
Specified in the lecture
Grading will be based on the discussions with other students and lecturers about the contents of the lecture videos.