2022 Super Smart Society Innovation A2: IoT/ Robotics/Smart city

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Academic unit or major
Academy for Super Smart Society
Sampei Mitsuji  Nakao Hiroya  Fukuda Eisuke  Hatanaka Takeshi  Nishihara Akinori  Yu Tao  Yoshihara Kiyohito  Yoshida Hiroshi  Iwai Takanori  Kanehara Takahide  Nakaya Makoto 
Class Format
Lecture    (On-demand)
Media-enhanced courses
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Academic year
Offered quarter
Syllabus updated
Lecture notes updated
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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

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.

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.


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.


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.)


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