AI, informatics, and intelligent systems.
Engineering the digital future for people and society.
In the Artificial Intelligence and Informatics Course, students explore how artificial intelligence, data science, robotics, IoT, healthcare technologies, and information networks can be integrated to create intelligent systems for society. Through programming, hands-on projects, and research using real-world data, students develop the ability to design technologies that solve practical problems and open new possibilities for the future.
Key Learning Points
- POINT01
- Master the Foundations of AI, Data Science, and Informatics
- Students build a strong foundation in mathematics, algorithms, programming, data analysis, informatics, and software development—the essential tools for creating next-generation AI and data-driven systems.
- POINT02
- Design Intelligent Systems for the Real World
- Students learn how to connect AI and data science with robots, IoT devices, sensors, information networks, and software platforms to design intelligent systems that work in real environments.
- POINT03
- Turn Ideas into Solutions for Society
- Through project-based learning and graduation research, students apply AI to real-world challenges and develop the ability to identify problems, design solutions, and implement systems that create value for society.
This course brings together artificial intelligence, informatics, data science, robotics, IoT, sensing, networks, and software engineering to create intelligent systems that work beyond the laboratory. Students engage with real-world research themes in collaboration with companies, local governments, and medical institutions, including medical AI, smart social systems, human-centered robotics, sensing technologies, and data-driven services.
Students interested in AI, informatics, data science, programming, robotics, healthcare technology, smart cities, mobility, or next-generation digital services will find a broad and exciting field of study here.
This Course Is for Students Who Want to:
- Use AI and data to solve real problems in medicine and society
- Create new digital services, applications, and intelligent systems
- Explore robotics, IoT, sensing, and next-generation connected technologies
- Build software, analyze data, and turn ideas into working systems
- Become AI engineers, data scientists, or innovators in intelligent systems
Career Fields After Graduation
- AI and Data Science
- Robotics and IoT
- Medical AI and Healthcare Technology
- Information and Communication Technology
- Automotive and Mobility Systems
- Smart Society and Infrastructure
Faculty Members
-
Satoru Aikawa
Professor
-
Teijiro Isokawa
Professor
-
Naotake Kamiura
Professor
-
Syoji Kobashi
Professor
-
Kouki Nagamune
Professor
-
Shinsaku Hiura
Professor
-
Takayuki Wada
Professor
-
Manabu Nii
Associate Professor
-
Haruhisa Hayashi
Associate Professor
-
Keita Morimoto
Associate Professor
-
Masakazu Morimoto
Associate Professor
-
Hirotake Yamazoe
Associate Professor
-
Kenta Tanaka
Assistant Professor
-
Takanori Hashimoto
Assistant Professor
