COURSES & FACULTY MEMBERS

COURSES

Mathematics, Electronics, and Informatics Course

WEBSITE : Department of Information & Computer Sciences

WEBSITE : Department of Electrical & Electronic Systems

The goal of this course is to cultivate researchers with specialized knowledge and skills related to theory, hardware, and software in the field of mathematics, electronics, and informatics; the ability to conduct highly innovative research from a broad perspective by organically linking technologies in various fields; and the ability to take strong leadership roles in their respective disciplines and industries on a global level.

Materials Science Course

This course promotes research and education based on science related to the structures, interactions, functions, and reactions of material systems at all levels, from elementary particles to macro materials, as well as theoretical and applied research on those sciences. The goal of this course is to cultivate researchers and practitioners who are equipped with broad perspectives in the fields of physics, chemistry, and related fields; a sense of responsibility to society; the ability to identify and solve problems; the ability to be internationally engaged; and the ability to contribute to the development of new fields of science and technology.

Mechanical Science Course

WEBSITE : Department of Mechanical Engineering & Science

This course aims to cultivate researchers and practitioners with the ability to create systems with new functions based on societal needs, such as human-friendly production machines with new functions and human support-oriented mechanical systems based on core production science technologies and human support technologies, and the ability to take a global lead in these fields of engineering.

FACULTY MEMBERS

Mathematics, Electronics and Informatics Course

【Information & Computer Sciences】

Lecture Title (click the title for details)	Instructor	WEB SITE
Advanced Lecture on Signal Processing This lecture is a further advanced version of Advanced Lecture on Signal Processing in master course. Some among the most recent hot topics in the field of digital signal processing are picked up and discussed after presentation by each student. The goal is to know and understand the recent trend in digital signal processing. Some related key words are digital signal processing, statistical signal processing, speech, image and communications systems, multimedia applications.	SHIMAMURA, Tetsuya Professor	SHIMAMURA Lab.
Nonlinear Optics and Information-Communication Engineering This course is a graduate level course in nonlinear optics and their applications in information-communication engineering. The aim of the course is to give a basic understanding of the central concepts and fundamentals of complex photonics and related topics. Topics include chaotic dynamics in lasers, synchronization of chaotic lasers, optical secure communication, random number generation, and artificial intelligence using photonic devices.	UCHIDA, Atsushi Professor	UCHIDA Lab.
Advanced Lectures on Software Verification Software is used for many kinds of systems such as vehicles, airplanes and social infrastructure. It is important to create software without faults. Software verification checks whether software satisfies specifications or some important properties for software such as safety, liveness and fairness properties. There are several methods of software verification. Logic and automata theory are bases for the methods. This lecture selects some research papers of software verification. In the lecture, participants read the papers and explain them to understand the latest topic and theoretical bases of software verification.	YOSHIURA, Noriaki Professor	YOSHIURA Lab.
Advanced Lectures on Image Sensing and Processing Systems The aim of the course is to help students acquire a fundamental knowledge of image sensing and processing systems. The topics include imaging systems, image recognition, object tracking, 3D measurement, and image restoration. Students are expected to improve their understanding on these topics and to propose a new system through presentations and discussion.	KOMURO, Takashi Professor	KOMURO Lab.
Advanced Lectures on Intelligent Robotics This course is a graduate level course in intelligent robotics. The aim of the course is to give a basic understanding of the central concepts and fundamentals of Intelligent Robotics. Topics included kinematics, artificial intelligence, robot vision, human robot interaction. In this class, each student will introduce more than one paper(s) related to Intelligent Robotics. We will discuss the state-of-the-art intelligent robot technologies from the human robot interaction point of view.	KOBAYASHI, Yoshinori Professor	KOBAYASHI Lab.
Advanced Lectures on Cognitive Information Processing System This lecture is a further advanced version of “Advanced Lectures on Visual Information Processing System “ for master course. The goal of this lecture is to learn how to catch up with recent advantages in studies on visual information processing in human brains, by reading articles thoroughly. The lecture will be based on presentations by students to introduce recent articles on the cortical visual information processing and the following discussions on topics in each article. Each student will be asked to read an article and its reference articles, when necessary, to thoroughly to learn latest topics. This is a very important skill for Ph.D. trainees to study the recent advantages of the field and to plan their own project. Keywords: human vision, neural systems, psychophysics, computer models, image processing	KURIKI, Ichiro Professor	KURIKI Lab.
Advanced Lecture on Stochastic Methods Some topics are selected from stochastic methods in various research fields, including probability theory, statistics, machine learning. This class aims at making understanding of information processing based on stochastic methods, and at learning techniques to solve problems. The class basically consists of paper reading, presentation, and discussion on advanced topics of probabilistic methods.	OHKUBO, Jun Professor	OHKUBO Lab.
Advanced Lectures on Intelligent Information Processing This lecture is a further advanced version of Advanced Lecture on Visual Information in the master course. This lecture aims to know and understand the recent trends in computer graphics, especially rendering techniques. Participants must read recent papers, implement them, demonstrate some demos, and deliver a presentation.	IWASAKI, Kei Professor	IWASAKI Lab.
Advanced Lectures on Real-Time Systems This course is a graduate-level course in real-time systems. The course aims to understand real-time scheduling, including specific scheduling algorithms for hard real-time tasks, such as the earliest deadline first. Participants read and discuss the latest papers in the lecture to understand the state of art topic for real-time systems. Prerequisites are fundamentals of computer software such as operating systems.	AZUMI, Takuya Professor	AZUMI Lab.
Advanced Lecture on Parallel Computation being prepared	YAMADA, Toshinori Associate Professor	YAMADA Lab.
Advanced Lecture on Knowledge Processing Systems This course is a graduate level course in information systems to deal with knowledge processing. The aim of the course is to give a basic understanding of knowledge representation methods and their reasoning through the critical reading of research papers. Prerequisites are fundamentals of the first-order classical mathematical logics, set theory, and graph theory. Topic is “old” artificial intelligence: proving and reasoning, knowledge base, etc.	GOTO, Yuichi Associate Professor	GOTO Lab.
Advanced Lectures on Computer Simulations of Biomolecules being prepared	MATSUNAGA, Yasuhiro Associate Professor	MATSUNAGA Lab.
Advanced Lecture on Geospatial Information Science This class aims at exploring the latest topics of geospatial information science including geographic information systems, remote sensing, spatial statistics, and any relevant studies. The class provides the opportunities to discuss those topics above by reading and presenting selected journal papers. Students are expected to understand such state-of-art studies to explore new research topics in this field.	TSUTSUMIDA, Narumasa Associate Professor	TSUTSUMIDA Lab.
Advanced Lectures on Information-Theoretic Methods Information theory gives various analytical methods that support information and communication technologies. The purpose of this class is to study some of these methods. Students taking this class will be asked to read some textbooks and papers on information theory, give a presentation on these articles and answer questions from students in the class.	MATSUTA, Tetsunao Associate Professor	MATSUTA Lab.
Advanced Lectures on Nonlinear Mathematical Engineering This lecture is a further advanced version of Advanced Lectures on Network Science for the master course. The goal of this lecture is to learn about recent advances in studies on dynamical processes on complex networked systems and their applications. The topics include coupled dynamical systems, network inference of biological and technological systems, information diffusion on social networks, human mobility patterns, and temporal networks. The assignments in this course will consist of research paper reading, reviews of presented papers, and presentations.	SHIMADA, Yutaka Associate Professor
Advanced Lectures on Machine Learning Based on Nonlinear Photonic Devices being prepared	KANNNO, Kazutaka Associate Professor
Advanced Lectures on Computational Interaction Computational Interactions focus on the use of algorithms and mathematical models to explain and enhance human-computer interactions (HCI). While there are numerous approaches to computational interaction, they all share a commitment to defining computational models of the nature and processes of interaction itself. By which, these models can drive design and decision-making. This lecture will explore the use of algorithms and mathematical models to understand and enhance human-computer interactions (HCI). It is a further advanced version of the Advanced Lecture on Engineering Interactive Technologies in Master course but focusing on its theory and practice approaches to computational interactions. After the class, the students will be able to understand the recent advances in computational interactions in the HCI related area.	PUNPONGSANON Parinnya Associate Professor	PUNPONGSANON Lab.
Advanced Lectures on Network Systems	WATABE, Kohei Associate Professor

【 Electrical & Electronic Systems】

Lecture Title (click the title for details)	Instructor	WEB SITE
Advanced Theory of Semiconductor Sensor Discussion about the recent chemical sensor based on the latest article.	UCHIDA, Hidekazu Professor	UCHIDA Lab.
Intellectual information processing and control Intellectual information processing and control" is an application of "Advanced Automatic Control System" of Master's Program of Electrical and Electronic Systems course. Students in this class can listen to the features of the wireless power transfer system and commentary on the design method and learn intelligent information processing and control methods (such as neural networks) for control system design to improve the characteristics , Practice analysis and design. Also, you will investigate trends on intellectual property related to electrical and electronic equipment and power electronics, etc.	KANEKO, Yasuyoshi Professor	KANEKO Lab.
Advanced Theory of Microwave Engineering High-performance microwave circuits are required for various communication equipments. In this lecture, the latest research trend on various microwave circuits, especially advanced microwave/millimeter-wave filters and new microwave circuits using high-temperature superconductors will be investigated, and the research method will be learned.	MA, Zhewang Professor	Advanced Microwave Lab.
Advanced Plasma Engineering The special environmental conditions of plasma are used in a wide field including semiconductor manufacturing. In addition, research on new applications utilizing it has also progressed. In this lecture, we take up the latest topics, mainly on the generation, control and measurement technology of these plasmas, and proceed with questionanswering to that topic.	MAEYAMA, Mitsuaki Professor	MAEYAMA Lab.
Advanced Superconducting Devices This course is a graduate level course in superconducting devices. The aim of the course is to give a basic understanding of the superconducting devices including the Josephson junctions and nano-structures, recently supporting the quantum information technology including quantum computing such as quantum annealing and quantum computer, quantum information communication and measurement fields such as quantum key distribution and deep space communication / observation.	MYOREN, Hiroaki Professor	MYOREN Lab.
Advanced Optoelectronic Devices and Materials This course is a graduate level course in optoelectronic devices and materials. The aim of the course is to give an advanced understanding of the properties of semiconductor materials used for optoelectronic and photonic devices, such as light-emitting diodes and semiconductor lasers. The course also aims to provide a basic understanding of quantum optics.	YAGUCHI, Hiroyuki Professor	YAGUCHI Lab.
Advanced Electric Power System being prepared	YAMANO, Yasushi Professor	Electric Power Lab.
Advanced Optical Sensing Systems and Devices The purpose is to understand the property of light as a wave and to apply it to sensing technology. Especially, the recent advanced research topics, related to the Fourier optics based applied sensing technologies, will be investigated, and the research method will be studied.	SHIODA, Tatsutoshi Associate Professor	Advanced Photonics & Sensing Lab.
Advanced Lecture on Robotics Robot Control This course is a graduate level course of lectures on Robotics Robot Control. The aim of the course is to study the technological trends of elemental technologies of robotics (sensors, actuators, mechanisms, and control systems) and deepen expertise through survey and discussion of advanced technologies.	TSUJI, Toshiaki Associate Professor	TSUJI Lab.
Studies on Processes and Characterizations of Electron Devices The aim of this course is to widely learn the recent progresses in electron devices processing and characterizations. The course also lectures the historical background as well as material science and solid-state physics underlying the electron device developments.	HIJIKATA, Yasuto Associate Professor	HIJIKATA Lab.
Applied Semiconductor Technology This couse is a graduate level course in semiconductor device technologies.The aim of the course is to provide an overview of fabricatoin processes for several selected devices such as high-speed transistors, lasers, and advanced solar cells. The couse also deals with the operating principles, device physics, and characteristics of these devices.	YAGI, Shuhei Associate Professor	YAGI Lab.

Materials Science Course

Lecture Title (click the title for details)	Instructor	WEB SITE
Advanced Semiconductor Processing Technology This course is a graduate level course in semiconductor device and materials. The aim of the course is to give a basic understanding of the fundamentals of photovoltaic, display and charge storage device and related materials using inorganic and organic materials. Topics include device physics of photovoltaic, charge storage, sensor and field effect transistor (FETs) devices. The class aims at building up capabilities of understanding scientific framework, recognizing research front on this field and pointing out necessary discussions toward future developments.	SAKAI, Masamichi Professor	SAKAI Lab.
Advanced Storage Devices This course is a graduate level course in magnetic recording devices and storage systems. The aim of this course is to give a basic understanding of magnetic recording at very high areal densities which has evolved over the past few years and which will serve as part of its foundation for continued growth. Topics included microstructure of magnetic recording media, magnetization dynamics and thermal fluctuations in fine grains and thin films, patterned media and perpendicular recording media, self-assembles magnetic nanoparticle arrays.	KAKIZAKI, Koichi Associate Professor	KAKIZAKI Lab.
Advanced Course on Quantum Physics and Electronics This course is a graduate level course in magnetism and magnetic materials. The aim of the course is to give a basic understanding of the central concepts and fundamentals of magnetism and magnetic materials. Topics included magnetic moments in classical and quantum mechanical pictures, diamagnetism, paramagnetism, crystal field environments, exchange interactions, ferromagnetism, antiferromagnetism, ferrimagnetism, and quantum magnetism.	HONDA, Zentaro Professor	HONDA Lab.
Advanced Lecture on Solid State Physics of Functional Materials This course is aimed at filling a gap between advanced topics and fundamental knowledge of Solid State Physics. Notwithstanding the great variety of this subject, a well-established theory is available for explaining electron behavior that determines the physical properties of a solid such as electrical conductivity, thermal conductivity, and thermoelectric power. It begins with elementally classical and quantum characteristics of the free electron theory of metals, passing to the terminology of periodic systems, Bloch's theorem, nearly-free-electron approximation, tight-binding approximation, and semi-classical mechanics that accounts for transport phenomena.	KAMISHIMA, Kenji Associate Professor	KAMISHIMA Lab.

Mechanical Science Course

Lecture Title (click the title for details)	Instructor	WEB SITE
Advanced Fracture Mechanics This is a graduate level course in Fracture Mechanics, providing an introduction to linear elastic fracture mechanics and elasto-plastic fracture mechanics. The topics include stress intensity factor, energy release rate, J-integral, crack tip opening displacement, crack growth threshold, and fracture toughness.	ARAI, Yoshio Professor	Strength of Materials Lab.
Mechanical Material System This course is a graduate level course on mechanical materials. The aim of this course is to understand advanced materials such as FRP and cellulose nanofiber used in various machines. This course also requires the innovative proposals and discussions for new applications of advanced mechanical materials.	KAGEYAMA, Kensuke Professor	Material Science & Engineering Lab.
Precision-micro machining This course is a graduate level course in dynamics and control of mechanical systems. The aim of the course is to provide the students with a fundamental knowledge of how to model mechanical systems and how to design control systems. Topics include modeling of mechanical systems, motion of multi-body systems, simulation of mechanical systems, stability of dynamical systems, and control methods of mechanical systems.	IKENO, Junichi Professor	Science of Production and Environment Lab.
Dynamics and Design of Machinery This course is a graduate level course in dynamics and design of machinery. The aim of the course is to give a basic understanding of the analyzing method of dynamics of machinery and the design procedure of machinery considering dynamical characteristics of it. This course is focused on a vibration reduction devices (vibration isolator and high damping bearing) to give how to obtain governing equations giving their dynamical characteristics based on finite element method and finite difference method.	YAMAMOTO, Hiroshi Professor	Machine Element Lab.
Advanced Compressible Fluid Dynamics This class provides students with an introduction of compressible fluid dynamics including topics as sound propagation, finite amiplitude wave, non-linear wave, shock waves. The characteristics propagation in flows is discussed according to the Navier-Stokes equation and Euler equation. The solution will be related to the multi phisics in the wide research area. The students will be able to develop a skill of theoretical and numerical simulation technique.	OBARA, Tetsuro Professor	Thermal Engineering Lab.
Advanced Machine Design under preparation	WATANUKI, Keiichi Professor	Human Interface Lab.
Advanced Course of Adaptive Robotics The aim of this lecture is to develop appropriate behavioral goals for state-of-the-art research and acquire the ability to autonomously investigate related research. Students participating in this lecture are required to investigate state-of-the-art research papers on robotics and report the results. The report will be evaluated to understand the purpose of the referenced paper and explain it without excess or deficiency.	KOTOSAKA, Shinya Associate Professor	Design Engineering Lab.
Advanced Ultrasonics for Mechatronics This course is a graduate level course in application of ultrasonic vibration for mechatronics. The aim of the course is to give a theoretical understanding of ultrasonic vibrations in solid and analysis method for designing ultrasonic transducers. This course includes description of ultrasonic wave with partial differential equations, inverse piezoelectric effect, equivalent circuit model and introduction of ultrasonic vibration applications for mechatronic devices.	TAKASAKI, Masaya Professor	Control Engineering Lab.
Advanced Dynamic Analysis of Mechanical System being prepared	WATANABE, Tetsuya Professor	Mechanical Dynamics Lab.
Nonlinear Vibrations in Mechanical Systems This course is a graduate level course in dynamics of mechanical systems.The aim of the course is to give an advanced understanding of nonlinear vibrations which are observed in mechanical systems.The course also aims to provide a basic understanding of numerical calculations.	NAGAMINE, Takuo Professor	Mechanical System Lab.
Intelligent Manufacturing System This course is a graduate level course in machine tool and machining process. The purpose of the course is to give an advanced understanding the cocept of numerical control and the charasteristics of mechanical elements, which are the basis of modern machine tools.	KANEKO, Junichi Associate Professor	Manufacturing & Machine Tool Lab.
Advanced Polymer Engineering and Science This course is a graduate level course in mechanics of polymeric materials. The aim of the course is to give an advanced understanding of the properties of composites and polymer, such as viscoelasticity of the carbon fiber reinforced plastics and their matrix resin. The course also aims to provide a basic understanding of viscoelastic theory.	SAKAI, Takenobu Associate Professor	Material Science & Engineering Lab.
Dynamics and Control of Mechanical Systems This course is a graduate level course in dynamics and control of mechanical systems. The aim of the course is to provide the students with a fundamental knowledge of how to model mechanical systems and how to design control systems. Topics include modeling of mechanical systems, motion of multi-body systems, simulation of mechanical systems, stability of dynamical systems, and control methods of mechanical systems.	NARUKAWA, Terumasa Associate Professor	Machine Element Lab.
Advanced Robot Creation This course is a graduate level course in robotics and mechatronics. The aim of the course is to introduce the design process of the novel robotic systems, including biologically inspired, mobile, tethered and aerial robots, and explain the basic methods and principles of robotic mechanism design. Topics are biomechanics of walking animals and a snake, harvestman-like robots, shake-like robots, wheeled and crawler robots, space robots, rescue robots, tethered robots, aerial robots.	HODOSHIMA, Ryuichi Associate Professor	Design Engineering Lab.
Advanced Kansei Engineering being prepared	HARA, Masayuki Associate Professor	Measurement Engineering Lab.
Advanced Reactive Gas Dynamics This course provides students with an introduction of reactive gas dynamics, which is often define the flow in combustors of various engines. In this course, we deal with the systems in which compressible gas flow and chemical reaction (mainly combustion) proceed simultaneously. The goal of this course is to provide students with an introductory knowledge of the general theory and analytical methods of such reactive gas dynamics.	MAEDA, Shinichi Associate Professor	Thermal Engineering Lab.
Advanced Non-Equilibrium Fluid Engineering This class provides students with an introduction of flow instabilities, including linear stability analysis, Kelvin–Helmholtz instability, Rayleigh-Taylor instability, the Von-Karman vortex sheet, Orr-Sommerfield equation, turbulence boundary layer, flow instabilities in turbomachinery, and cavitation instabilities. The students will be able to develop a skill of theoretical fluid dynamics.	KANG, Donghyuk Associate Professor	Fluid Dynamics Lab.