Curriculum
Overview of Curruculum
Overview
Class Subjects Gudeline
Purpose and Training Policy of “Math-for-Innovation-Professionals”
This is an interdisciplinary doctoral degree program.
In order to respond to the strong needs of society for mathematics as of late, this degree program aims to develop outstanding “Math-for-Innovation Professionals” who can co-create with researchers in industry or various scientific fields across organizational and disciplinary boundaries through mathematical modeling, and create innovations that can change society both at universities and in companies, based on excellent mathematical and statistical skills.
Course Details
Mathematics (1 credit each)
This course covers the fundamentals of mathematics and statistics necessary for mathematical modeling, based on calculus and linear algebra. (Mathematical Analysis, Applied Algebra, Statistical Analysis, Machine Learning, Applied Geometry, Optimization Theory)
Topics in Mathematics (2 credits each)
To acquire the knowledge necessary for mathematical modeling, students learn a wide range of related topics, from basic to applied.
Transition to Modern Mathematics (1～2 credits each)
This course is mainly intended for students who have not taken mathematics as their undergraduate major. Lectures on various basic knowledge and concepts of mathematics will be given in consideration of students’ achivement levels so that they can make a smooth transition to education in mathematics in their master’s course.
Basic Mathematical Modeling (4 credits)
Students belong to a laboratory in the co-creation research field. They will work with students and young faculty members in the field to learn its fundamentals, contribute from the aspect of mathematical modeling, and conduct collaborative research.
International Internship
Conduct practical training in research or R&D (business) at overseas universities, research institutes, etc.
Interdisciplinary Internship
Conduct practical training in research or R&D (business) aimed at collaboration in different fields at universities, research institutes, etc.
Industrial Internship
Conduct practical training in research or R&D ( business) at private companies, etc.
Advanced Mathematical Modeling
To spread the know-how of co-creation with other fields within the university, students are dispatched to faculty members in other fields. The students will guide faculty and students in other fields from the viewpoint of mathematical modeling as reverse mentors. Students will bring innovative mathematical modeling and analysis methods to their fields, by becoming “Math-for-Innovation Professionals” through experience in the process of contributing to research in other fields by using mathematics
Interim Progress Presentation (2 credits)
The student will prepare an interim report focusing on his/her achievements by the end of the 2nd year of the doctoral program, and give an oral presentation regarding the contents of their report.
Master’s research and thesis
Under the guidance of an academic advisor (research mentor), students conduct research on an issue in their specialization or a related research field for a certain period and are guided in writing a master’s thesis based on the research results.
Doctoral research and thesis
Under the guidance of an academic advisor (research mentor), students conduct research on an issue in their specialization or a related research field for a certain period and are guided in writing a doctoral thesis based on the research results.