Data Science Endowed Course
Request for Participation in the Endowed Course on Data Science
We would like to express our sincere gratitude for your continued support and cooperation in the education and research activities of the School of Economics. In April 2021, our school established an Endowed Course on Data Science, made possible through contributions from various companies. The purpose of this endowed course is twofold: To contribute to the local community by having school members and students analyze issues presented by local governments and industries using data science and propose solutions as "products." To cultivate highly skilled data scientists by using practical issues from local governments and industries as educational materials.
We are now reaching out to respectfully request your support in the form of both contributions and the provision of issues or challenges to be addressed. We would be most grateful if you could understand and agree with the aims outlined above and extend your kind cooperation.
July 1, 2021
Takehiko Moriguchi
Dean, School of Economics
University of Toyama
National University Corporation
Sincerely yours,
How to Make a Contribution
Please submit the following document:
※ Once the details of the research topic or issue are finalized, a Memorandum of Understanding (MoU) or a Joint Research Agreement will be concluded separately.
Overview of the Endowed Course
Participating Companies and Project Summaries
GRN Co., Ltd.
Data Science Research for Improving the Efficiency of the Vending Machine Business
This project involves studying the fundamentals of statistics and analyzing beverage sales data from vending machines to identify trends, concentrations, and item performance. The goal is to apply the findings to improve sales strategies, product selection, placement, and operational efficiency.
Sanwa Boring Co., Ltd.
Research and Development of a Rockfall Warning System
The aim of this research is to develop a system that assesses the risk of rockfall disasters by measuring the eigenvalues of rockfall sources. The study involves experimentally identifying eigenvalues based on rock conditions and proposing methods to estimate the status of rockfall sources. Additionally, the research includes proposing measurement and communication devices to be installed at rockfall source locations.
IPEC Co., Ltd.
Analysis of Traffic-Related Data
This project focuses on the analysis of traffic-related data, including:
Analyzing the relationship between traffic volume on roads surrounding large event venues and external factors.
Assessing the load on transportation infrastructure using traffic volume data from bridges or roads.
Examining the relationship between spatial congestion in parking lots or bicycle parking areas and external factors by analyzing inflow and outflow data.
Contact Information
National University Corporation University of Toyama
Faculty of Economics - Data Science Endowed Course
Endowed Course Faculty: Professors Takano and Kanayama
Faculty of Economics Administrative Office: Taga
TEL：076-445-6401
E-MAIL：