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Electronics and Information Systems Engineering Division

The education and research objectives fields of the division include the development of new materials, devices and the information science to advance the fundamental and practical computer applications for future systems. The division develops capable engineers and researchers who are developing new approaches in these areas.

Electronic Materials Engineering

 The first requirement for the synthesis and development of electronic materials with new functionality is a generalized understanding of the fundamentals of materials. It is advantageous to design new materials that combine individual material properties on the basis of that knowledge. In order to achieve that, this course includes research that explores the characteristics related to fundamental electrical, optical, acoustic, plasmatic, magnetic, dielectric, and thermal properties found in materials of every type, including semiconductors, magnets, and dielectric crystals as well as amorphous substances, liquid crystals, sol-gel-derived materials, and biological substances. This course also involves research to generate new phenomena through the following experimental methods: spectroscopy measurements taken on various wavelengths, including ultraviolet, visible light, infrared, far infrared, and ultrasound; laser-light scattering measurements; inertial confinement fusion; X-rays; magnetism; dielectrics; and differential scanning calorimetry.
 The educational and research goal in this course is to engage in practical materials engineering and lay the groundwork by which students can comprehensively apply research results, which involve the basic electrical properties listed above, towards high-performance solar cells, superlattices, fine ceramics, optical circuit components, molecular-component devices, laser and plasma energy generation components, sensors of every kind, optoelectronic components, and magneto-optical components. Therefore based on the materials developed to achieve highly efficient energy generation, energy transmission, energy conversion and Communication Performance Engineering for WEB Monitoring Systems on the Internet.

Knowledge and Information Engineering

 With the recent rapid transition to an advanced information society, it has become the universal goal of education and research in the information engineering fields to move beyond the old framework of information processing centered on deterministic algorithms, and towards the transition to intelligence science, which seeks to make artificial intelligence a reality by combining the uncertain natural intelligence of humans with machinery. As such, there is a pressing need for institutions of higher education to develop a plan for training technologists and researchers who will lead the way not only in our present-day information society, but also in the forthcoming era of intelligence science. Thus, we have created the Knowledge and Information Engineering course by combining two major fields: (1) the field of education and research centered on the theories and application of determinacy, or reproducibility, as is required for our present-day advanced information society (i.e. information processing), and (2) the field of information education and research that includes indeterminacy̶intuition, inference, inductive reasoning, and heuristics̶or situated cognition, as will be required in the future (i.e. information awareness).
 The information processing course will introduce study and research centered on large-scale information processing, communication theory, computer architecture used as processing systems, encoded distributed systems, combinatorial mathematics, and numerical analysis theory. Practical education and research topics will include computer networks, parallel distributed processing systems, natural languages, image and speech information processing, and CAD software.
 The information awareness course will introduce study and research centered on intelligent information theory through a scientific and theoretical analysis of human mental functions, fuzzy logic and information ambiguity, biological information processing systems models, and optical information processing systems. Practical education and research topics will include expert systems.