Course title
L00490004
Graduation Thesis 3

WATABE Shohei
Course description
Based on the knowledge acquired so far in the Department of Computer Science and Engineering, each student chooses a theme for his/her graduation thesis that he/she is interested in or would like to study more deeply as a summary of his/her life as a student. Through this process, students learn research methods, how to organize results, how to compile a thesis, and how to present it as the result of four years of study.

Each student must spend at least 10 hours per week, 14 weeks in the semester, for a total of at least 140 hours in the Graduation Rearch 3. Of these hours, at least 60 hours shall be set aside as class time to provide guidance for the graduation research.
Depending on the research theme, part of the research may be conducted overseas.
Students who have not earned credits for Graduation Research 2 may not take Graduation Research 3.
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
All of the following two items must be performed in order to pass the exam.
(1) Submission of a written outline regarding Graduation Research 3
(2) Presentation on Graduation Research 3
In Graduation Research 3, the research theme, purpose of the research, and findings on previous or related research should be clarified.

Grading,
Attendance at seminars and other daily activities: 60
The total score for graduation research 3 will be 100 points, and the total score for the comprehensive research 3 will be 40%.
together will count as 100 points, and an overall score of 60 points or higher will be considered passing.
Students will receive 60 points or more if they attend seminars regularly, establish their own research theme based on investigation of previous research, and present it appropriately.

Graduation Research 3 will be evaluated by at least three faculty members with respect to the following five behavioral characteristics.
(I) Ability to prepare appropriate presentation materials
(II) Appropriate consideration of the purpose, background, and related research of the research
(III) Appropriately considers research problems, solutions, and timelines
(IV) engages in the research with a challenging attitude (including external presentations)
(V) Can respond appropriately to questions.
Language
Japanese(English accepted)
Research Guidance
Quantum Computer Science and Engineering
Research Content
With the keywords "quantum computer" and "artificial intelligence", we aim to develop and evaluate innovative computational methods as well as study their applications to social problems. A quantum computer is a computer that wisely uses quantum mechanics. The natural laws of quantum mechanics are far from the view of nature that we have developed in our daily lives. However, the practical use and spread of quantum computers are rapidly becoming imminent. In this course, we will first study the basics of quantum computers to develop human resources for the coming quantum information society. We will also study and develop innovative ideas using quantum computers as well as artificial intelligence from the basics to applications.
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
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
N/A N/A
Education related SDGs:the Sustainable Development Goals
  • 4.QUALITY EDUCATION
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Fri Jun 28 15:45:46 JST 2024