- Faculty of Engineering
- Department of Electronics and Computer Engineering Department of Electrical Systems Engineering Department of Mechanical Engineering and Informatics Department of Civil and Environmental Engineering Department of Architectural Engineering
- Faculty of Applied Information Science
- Department of Computer Science Department of Information Systems Department of Information Management
- Faculty of Environmental Studies
- Department of Architectural Design Department of Global Environment Studies Department of Food and Health Sciences
- Graduate School
- Major in Intelligent Structure and Functional Science Major in Electrical and Electronic Engineering Major in Mechanical Systems Engineering Major in Civil and Architectural Engineering Major in Information Systems Science Major in Environmental Studies Major in Biological and Biomedical Engineering
Faculty of Applied Information Science
Department of Information Management
The rapid expansion of data driven by IoT and advancements in the information society holds immense untapped potential for business innovation and problem-solving. Data science offers the tools and methodologies to unlock this potential. By integrating management engineering with data science, and by developing a deeper understanding of applied informatics, students develop the skills needed to excel as IT professionals in the corporate world.
Education and Research Areas
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Information Technology
Students acquire foundational knowledge of computing, including information theory, programming, algorithms, databases, and basic networking. They also develop expertise in software development, information system design, information management, and security— core areas essential for creating robust and reliable information systems.
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Management Engineering
To efficiently manage "people," "materials," and "money," students study disciplines such as human resource management, project management, and financial management. They also explore scientific approaches to management through industrial management and operations research.
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Data Science
Students gain techniques for effectively describing data characteristics, data engineering skills for enabling data processing, and machine learning expertise for data analysis. They also study practical applications of data science in business and advanced technologies for managing and analyzing big data.
Faculty List
| Faculty Name | Position | Research Topic |
|---|---|---|
| Shingo Aoki | Associate Professor | Development of Optimization Methods Including Decision Support Systems and Envelopment Analysis |
| Hong Gui | Associate Professor | Methods and Practices in University Second Foreign Language Education: Chinese Language |
| Yayoi Ikeda | Professor | Industry-Academia-Government Collaboration for Resolving Regional Issues |
| Kazushige Inoue | Associate Professor | Development of Analysis Methods Based on Data Envelopment Analysis and Marketing Decision Support Systems Using Data Mining |
| Kengo Iwai | Assistant Professor | Learning Engineering |
| Tamotsu Kamigaki | Associate Professor | System Design of Data Collection, Analysis, and Management Using IoT, AI, and RFID |
| Shimpei Matsumoto | Professor | Social Systems Engineering and Educational Engineering |
| Yoshifumi Mikuma | Professor | Speech Communication in English Education |
| Yoshiomi Munesawa | Professor | Analysis and Optimization of Production Processes Using Industrial Engineering (IE) Methods |
| Shunsuke Shiraishi | Professor | Mathematical Optimization and Analytic Hierarchy Process (AHP) |
| Shuichi Yamagishi | Professor | Computer Simulation, Visualization, and Image Processing |
| Yusuke Yamauchi | Associate Professor | Structure of Solutions to Partial Differential Equations |
