Consisting of five courses, the Graduate School of Information Science and Technology enables students to strengthen their expertise and acquire extensive knowledge through inter-divisional collaboration.
Course of Computer Science and Information Technology
The term computer no longer refers exclusively to PCs.
Computer technology is now ubiquitous, with usage for
smartphones and websites as well as applications in
intelligent mechanisms for automobiles and consumer
electronics, human support systems in medical and health
fields, robots to help enhance societal safety and
wellbeing, and sensors for energy and environmental
monitoring. These applications will lead to the development
of new social and economic systems, making full use of the
retrieval, integration, recognition, learning and discovery
of diverse information and useful knowledge.
The course of Computer Science and Information Technology
focuses on education, research and development, combining
scientific and engineering methods in software technology
and artificial intelligence with their foundations in
mathematical science and advanced information
infrastructure. The Division encourages comprehensive,
systematic learning in the fields of synergetic information
engineering, knowledge software science, mathematical
science and large-scale information systems in order to
develop internationally-minded professionals capable of
applying their scientific understanding and engineering
methods to every human endeavor to find solutions to various
information system challenges in the society.
Keywords
Knowledge-based software, artificial life systems, multi-agent systems, human-robotics systems, large-scale computer simulation, information system architecture, data mining, large-scale information networks, information knowledge networks, software engineering, knowledge discovery, computational mathematics, pattern information processing, basics of mathematical science for computing, computer architecture engineering, knowledge bases, algorithms, program theory, computational basics, probability and statistical analysis
Research Groups
- Research Group of Synergetic Information Engineering
- Research Group of Knowledge Software Science
- Research Group of Mathematical Science
- Research Group of Mathematical Science
- Faculty of Science
- Collaborative Center for Big data and IoT(CCB)
Course of Electronics for Informatics
Advances in information science and technology such as the Internet, smartphone, AI, and quantum cryptography have been driven by innovation in hardware technology such as new materials and devices and in software and information processing technologies that can make full use of that hardware. This course conducts comprehensive and integrated research of new materials needed by next-generation information processing systems, new-concept devices based on new integration structures and principles, and circuits, architecture, and hardware-oriented software that incorporate the inherent qualities of such devices.
Keywords
Solid state physics, Optical properties of semiconductors and related topics, Quantum materials science, Physics of semiconductor nanoscale electron devices, Advanced optoelectronic devices, Advanced functional electronic devices, Quantum device engineering, Integrated material processing, Advanced electronic materials, Integrated information processing, Photonic information system, System applications of LSIs, Digital communication systems, Quantum Information Science
Research Groups
- Research Group of Integrated Systems
- Research Group of Advanced Electronics
- Research Center for Integrated Quantum Electronics
- Research Institute for Electronic Science
Course of Bioengineering and Bioinformatics
Life on Earth has acquired structures and functions adapted to its environment through nearly four billion years of evolution. In the 21st century, we will come to have a deeper understanding of life, but at the same time, we will need to reflect on and learn from past science and technology to develop new areas of science and technology in relation to life, mankind, and healthcare. This course focuses on research and education aimed at developing science and technology and new areas of study in relation to bioengineering and bioinformatics that combine computer technology, nanotechnology, bioscience, and bioengineering.
Keywords
Genome informatics, Primer to bioinformatics, Bioinformatics and bio-databases, Cell signaling, Human function and bio-informatics, Bio-mathematical analysis, Biomechanics, Biosensing, Magnetic resonance imaging, Regenerative medicine, Medical systems engineering, Bio-nanotechnologies, Bio-optics, Advanced medical engineering
Research Groups
- Research Group of Bioinformatics
- Research Group of Bioengineering
- Research Institute for Electronic Science
- Research Group of Advanced Biofunctional Engineering
Course of Media and Network Technologies
Technology to integrate communication with computers as symbolized by the Internet plays a pivotal role in the information revolution supporting modern society. The Course of Media and Network Technologies aims to study new methods of information media expression and processing such as those for image・video・acoustic and music signal and natural language applications, establish high-speed ubiquitous network theories using radio waves and light to convey information, and create new technologies, with the ultimate goal of upgrading information media technologies for future generations and revolutionizing business processes and lifestyles.
Keywords
Advanced application of information media, Information expression, processing and conversion technologies, Information communication technologies, Ubiquitous information media
Research Groups
- Research Group of Information Media Science and Technology
- Research Group of Information Communication Systems
- Research Group of Ubiquitous Network
- Research Group of Media Network Sociology
- Collaborative Center for Big data and IoT(CCB)
Course of Systems Science and Informatics
The study of systems science and informatics essentially involves information science and technology supporting the realization of various systems. Specifically, it is an academic field in which elemental technology in disciplines such as electrical, electronics, control, information and mechanical engineering are combined for the design of integrated systems. The Division of Systems Science and Informatics aims to create unique new system architecture technology through the fusion of electrical engineering, information science and system science based on the rigorous promotion of basic and applied research.
Keywords
Robots, Mechatronics systems, Production and control systems, Hardware systems, Electrical energy systems, Power electronics, Analysis, simulation, design, optimization and evaluation of real-world systems
Research Groups
- Research Group of System Creation
- Research Group of System Synthesis
- Research Group of Informatics for Remote Sensing
- Research Group of Informatics for Digital Human