Department of Systems Science
In the Department of Systems Science, education and research on 'system', including humans, are undertaken to uncover/establish the symbiotic relations in which the harmony between technology and humans is based. The word 'system' is used to mean a thing that is composed of many machines and electronic components, like aircraft, automobiles, chemical plants, etc., and brings about more advanced function through the organic cooperation among its components. For this, the human who operates and utilizes these systems is also included. While taking Liberal Arts and Sciences programs, students receive more specialized training in one of the three major courses, namely, Mechanical Science, Intelligent Systems Science, and Biophysical Engineering, a year after entering the program. Although the fields of study undertaken in these three courses have developed from different original backgrounds, they have many common or mutually related research areas from the viewpoint of "systems science". While each course continues to advance their respective fields independently, an interdisciplinary cooperation on the study of "system including human" exists and this new field for the future is exploited. After graduation, most students enter graduate studies in any department in the Graduate School of Engineering Science, the Graduate School of Information Science, as well as the Graduate School of Frontier Biosciences, to further deepen their knowledge of their major field.（Some of the teachers in the Graduate School of Frontier Biosciences take charge of the education in the Biophysical Engineering Course.)
Mechanical Science Course
The education in the Mechanical Science Course covers a broad area starting from particles and rigid body mechanics, solid mechanics, fluid mechanics, thermodynamics, machine dynamics, and acoustics, extending to material processing and manufacturing, control of systems, measurements, mechatronics, robotics, and human engineering. The education in these areas provides useful knowledge and methodology to develop cutting-edge areas such as new materials and space developments, mechatronics, computer aided engineering, and bioengineering, and to solve the urgent problems of environment and energy. Most of the graduates proceed to graduate school and finally obtain jobs in a wide variety of the fields such as heavy industries, electronics, automobiles, metals, energy, chemistry, as well as information processing, communication, computers, medical applications, aeronautics and astronautical industries, finance, trading and social services. The classes are offered mainly by the staffs in the three divisions (Division of Nonlinear Mechanics, Division of Mechanical Engineering, and Division of Bioengineering) of the Department of Mechanical Science and Bioengineering.
Intelligent Systems Science Course
Systems Science plays a central role in analyzing behavior in order to understand specified functions of complex systems involving human operations, which include mathematical, physical and computer systems. This division is, therefore, interdisciplinary and related to electrical, control, mechanical engineering and computer science. The curriculum is generally divided into three categories that students are required to pursue in parallel. The first consists of a series of lectures covering modern theories of optimization, control systems and signal processing. The second covers measurement and instrumentation, including experimental practices. And the third covers various aspects of computer science ranging from signal processing architecture to artificial intelligence. Research activities in this division are combinatorics and optimization, system and control theory, human-machine systems analysis, robotics, artificial intelligence, pattern recognition, and signal processing and sensing. Most graduates continue their education in graduate degree programs, or step directly into career positions in computer science and electric engineering with in the industry or government.
Biophysical Engineering Course
The Biophysical Engineering Course aims to foster students who can explore the mechanisms of various biologi cal phenomena and apply the findings to develop new engineering and technologies by combining broad spectra of research fields such as brain science, biophysics, biochemistry, cell biology, genetic engineering, physics, mathematics, computer science, and information and systems engineering. The curriculum keeps the number of compulsory classes to a minimum, and students are encouraged to construct their own curriculum according to their study aims. Approximately 80% of the graduates proceed to the master course, and 20% get jobs in companies.