Tutorial of Industrial and Mathematical Statistics

Summary
Continuing from 2024, we will hold the Industrial Mathematical Statistics Tutorial, where participants can learn directly from experts in statistics, mathematics, and data science.
At Kyushu University, the demand for research grounded in mathematics, data science, and AI is rapidly increasing, particularly in response to major social issues such as decarbonization, medical care and health, and environment and food. To address this need, the Division of Industrial Mathematical Statistics was established in April 2022 within the Institute of Mathematics for Industry (IMI). This division aims to build a cross-disciplinary mathematical foundation centered on statistics, deepen the theoretical foundations of statistics, contribute to solving diverse challenges in society, industry, and other fields, and foster young core talent in statistics.
In particular, to cultivate the next generation of professionals who can actively contribute to solving industrial and societal challenges through the application of statistics and data science, we are organizing the Industrial Mathematical Statistics Tutorial. This year’s program will cover not only the fundamental statistical theories introduced last year, but also a wider range of topics, including the basics of linear algebra and the statistical software R.

Date
December 11 – 12, 2025

Venue
744 Motooka Nishi-ku, Fukuoka, Japan
INAMORI Hall, INAMOR CENTER, Ito Campus, Kyushu University

Organized by Division of Industrial and Mathematical Statistics, IMI, Kyushu University
Co-organized by Data-Driven Innovation Initiative, Kyushu University
Education and Research Center for Mathematical and Data Science

Number of applicants: 100
Applications will be closed once the maximum capacity is reached.*

Free of charge

Please register in advance.
The deadline for pre-registration is Thursday, December 11, 2025.

Target group
+People in industry and government whose work requires knowledge and skills in data science and related fields.
+Researchers, graduate and undergraduate students who need statistics in their research.

Learning from Math Experts	Learn practical knowledge and statistical mathematics theory directly from IMI faculty.
Promoting understanding of statistical mathematics	Provides a wide range of knowledge from basic to advanced topics in statistical mathematics.
Responding to the Data Driven Era	Cultivate the ability to use data science and statistics to address industry issues.
Training the next generation of engineers	Cultivate next-generation engineers who can play an active role in problem-solving by utilizing data and statistics.

Program

	Topic	Level	Lecturer
December 11 (Thu) 9:30 AM – 10:20 AM	Front Desk (INAMORI Hall, INAMOR CENTER)
December 11 (Thu) 10:30 AM – 12:00 PM	Theoretical Basis of Student’s t-test	Beginner	HIROSE, Masayo
December 11 (Thu) 1:00 PM – 2:30 PM	Basic of Asymptotic Theory – Infinite World in Statistics	Beginner	HIROSE, Kei
December 11 (Thu) 2:50 PM – 4:20 PM	Linear Algebra: an unsung hero in Statistical Analysis	Beginner	MATSUE, Kaname
December 12 (Fri) 10:30 AM – 12:00 PM	Fundamentals of principal component analysis and related topics	Between Beginner and Intermediate	KURATA, Sumito
December 12 (Fri) 1:00 PM – 2:30 PM	Basics of Bayesian Linear Regression	Between Intermediate and Advanced	TOKUDA, Satoru
December 12 (Fri) 2:50 PM – 4:20 PM	Introduction to R for Statistical Analysis	Between Beginner and Intermediate	FUJINO, Tomokazu (Fukuoka Women’s University)
⏩ Some content may be omitted or added depending on lecture time constraints. The lectures will be conducted in Japanese only.

Beginner: Some understanding of simple probability calculations, linear algebra, and calculus is desirable
Intermediate: It is desirable to have studied estimation and testing.
Advanced: It is desirable to have a passing knowledge of mathematical statistics.

You could view the archive here.

Contact information
Administrative Office, Math. &IMI, Kyushu University