2020 Cyber-Physical Innovation

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Academic unit or major
Graduate major in Systems and Control Engineering
Instructor(s)
Miyazaki Yusuke  Kuzuryu Yuichiro  Nakashima Motomu  Hatanaka Takeshi  Amaya Kenji  Imura Jun-Ichi  Okutomi Masatoshi  Kurabayashi Daisuke  Kosaka Hidenori  Sampei Mitsuji  Hachiya Hiroyuki  Hayakawa Tomohisa  Tanaka Masayuki  Nakao Hiroya  Tsukagoshi Hideyuki  Hara Seiichiro  Yamakita Masaki  Ohyama Shinji  Ishizaki Takayuki  Nakayama Minoru  Miyake Yoshihiro  Yamamura Masayuki  Deguchi Hiroshi  Ishii Hideaki  Takayasu Misako  Aonishi Toru  Ono Isao  Takinoue Masahiro 
Course component(s)
Exercise
Mode of instruction
ZOOM
Day/Period(Room No.)
Mon5-8(Zoom)  
Group
-
Course number
SCE.Z401
Credits
3
Academic year
2020
Offered quarter
3-4Q
Syllabus updated
2020/9/23
Lecture notes updated
-
Language used
English
Access Index

Course description and aims

Run a project to find a social problem, to propose a solution, and to develop a system that solves the social problem and provides the social value through group collaboration. The project may involve not only software development but also hardware development. Learning of project management is also an important element.

Student learning outcomes

Through this course, students are expected to gain the skills to:
1) Find and analyze social problems; propose a solution; design and implement required system through group collaboration.
2) Efficiently communicate technical issues among group members.
3) Plan and manage the progress of the project.
4) Give effective presentation for the project.

Keywords

System analysis, System design, System development, Project management, System relating to human

Competencies that will be developed

Specialist skills Intercultural skills Communication skills Critical thinking skills Practical and/or problem-solving skills

Class flow

Groups of several students are formed. Each group sets a target problem and carry out a project for analyzing, designing, and implementing a system that solves the problem. Each group presents the result at the theme-setting, interim, and final presentations.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Orientation, Forming groups, lecture regarding valuable system development Research social problems
Class 2 Group work (Brainstorming, theme investigation, requirements analysis) Brainstorming, Requirements analysis, preparation of the flash presentations for theme reviewing.
Class 3 Theme review
Class 4 Theme presentation
Class 5 Group work (system analysis, system design) System analysis and design
Class 6 Group work (system analysis, system design) System analysis and design
Class 7 Group work (system analysis, system design) System analysis and design
Class 8 Preparation of the interim presentation
Class 9 Interim presentation
Class 10 Group work (system implementation) System Implementation
Class 11 Group work (system implementation) System Implementation
Class 12 Group work (system implementation) System Implementation
Class 13 Group work (system implementation) System Implementation
Class 14 Preparation of the final presentation
Class 15 Final presentation

Out-of-Class Study Time (Preparation and Review)

To enhance effective learning, students are encouraged to spend a certain length of time outside of class on preparation and review (including for assignments), as specified by the Tokyo Institute of Technology Rules on Undergraduate Learning (東京工業大学学修規程) and the Tokyo Institute of Technology Rules on Graduate Learning (東京工業大学大学院学修規程), for each class.
They should do so by referring to textbooks and other course material.

Textbook(s)

Not Specified

Reference books, course materials, etc.

Not Specified

Assessment criteria and methods

Target setting, project progress, the product of the project .etc are evaluated in the presentations and the final report. (75%)
Personal contributions to the project in each stage are evaluated by a self-assessment sheet. (25%)

Related courses

  • SCE.P301 : Creative System Project
  • SCE.P201 : Creative System Design
  • SCE.I406 : Machine Learning Framework

Prerequisites (i.e., required knowledge, skills, courses, etc.)

Completion of "SCE.I406 The Machine Learning Framework" is advisable

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