Course title
L00480003
Graduation Thesis 2

 SHINKUMA Ryouichi
Course description
Based on the knowledge acquired up to the second year in the Department of Computer Science and Engineering, each student chooses a theme for his or her graduation thesis that interests him/her or that he/she would like to study in depth. Through this, students learn research methods, how to organize results, how to compile a thesis, and how to make a presentation.
Depending on the research theme, part of the research may be conducted abroad.
Students who have not obtained credits for Graduation Research 1 cannot enroll in Graduation Research 2.
Purpose of class
　By utilizing the knowledge they have learned so far and working to solve the problems they have set themselves, students will enhance their comprehensive abilities that they will need when they enter the workforce.
Goals and objectives
  1. Through research, students can find and set up your own problems and solve them.
  2. Students can read and understand technical literature, and prepare technical documents.
  3. Students participate proactively in research discussions and present research results in an easy-to-understand manner.
Relationship between 'Goals and Objectives' and 'Course Outcomes'

 Comprehensive Technical Competence Total.
1. 40% 40%
2. 30% 30%
3. 30% 30%
Total. 100% -
Evaluation method and criteria
Evaluation will be based on the content of the presentation and report (50%) and the level of understanding through discussion and questions (50%). (Individual evaluation criteria may be set for each laboratory.)
Language
Japanese(English accepted)
Research Guidance
Design of Social Information Network Systems
Research Content
Research on information networks targeting a wide range of scales, from smart cities to the brain. The key is sensing and communication / calculation processing technology such as 3D (three-dimensional image) sensors that maximize the accuracy and speed of machine learning executed by AI (artificial intelligence). And security technology required in the smart city era, such as blockchain technology for IoT (Internet of Things) that securely protects sensor data. Outdoors, we aim for zero accidents by sensing vehicles and pedestrians "without blind spots". Based on the information model formed by sensing the brain, we pursue a truly comfortable information space for each individual. Weaving a society with each service realized by these technologies, we will promote the realization of a society that enriches people through information networks.
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
Feedback in the class
Textbooks and reference materials
Specified as needed
Prerequisites
Specified as needed
Office hours and How to contact professors for questions
  • Office hours differ for each academic advisor, so please follow the instructions at the first meeting.
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
  • Course that cultivates a basic interpersonal skills
  • Course that cultivates a basic self-management skills
  • Course that cultivates a basic problem-solving skills
Active-learning course
Most classes are interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
Applicable The lecturer has practical experience as a director and a technical advisor at multiple information and communication companies. In the class, the lecturer shares such experience.
Education related SDGs:the Sustainable Development Goals
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
  • 11.SUSTAINABLE CITIES AND COMMUNITIES
Last modified : Fri Jun 28 15:43:25 JST 2024