Academic Year 2024

Interdisciplinary subjects of the perspectives in informatics(For the underlined subjects, classes will be provided in English.)

Perspectives in Informatics 1
In the midst of ongoing IT revolution, our society is dependent on the Internet deeper and deeper. The
Internet has enabled the distribution of information among digital devices to be held at an extremely
high speed and at low cost. It has also made network connection among computers quite easy andsimple. The Internet has become used also in an important field like e-Government and e-Commerce
as ordinary people come to use it in daily life. As a result, however, the Internet exposes a number ofpeople to its vulnerability. In this lecture, we will talk about basic technologies used to protect users
from threats on the Internet, threats that can actually occur, and countermeasures. Throughintroduction of a wide range of contents covering from technical aspects to social phenomena andlegal development, we outline the basics of information security and deepen our understanding withdiscussions among students.

Perspectives in Informatics 2
This subject provides an overview of several themes that cross the Courses and are characterized as
frontiers of the informatics. Specifically, state-of-the-art of three themes of artificial intelligence, lifeand brain, and humanoid robots are introduced by professors of the School and visiting lecturers froman informatics point of view.

Perspectives in Informatics 3This subject deals with differential equations arising in science and technology, which are also deeply
connected to broad applications in engineering and social science.
The subject is divided into two parts.
The first part of this subject deals with nonlinear diffusive partial differential equations (PDEs) fromphysical and biological multispecies applications. A particular feature of these equations is theirentropy or gradient-flow structure, which reveals their thermodynamic origin. The objective is to
exploit the thermodynamic structure for the mathematical analysis. Topics of the first part of thesubject include an introduction to entropy structures for the cross-diffusion systems, their formal
derivation from on-lattice and kinetic models, and the numerical approximation by finite-volume
methods that preserve the entropy structure. Students will learn how to apply these techniques to realworld models and how to discretize them numerically in an efficient way.
The second part of this subject starts with some preliminaries of advanced ordinary differential
equations including existence theory, the dependence of initial data, stability analysis and Lyapunov
function method. Next, we shall introduce the celebrated Kuramoto model, an ODE system which
describes the synchronization phenomena. We then introduce a series of mathematical analysis on the
Kuramoto model and its variations. We shall also introduce some open problems concerning thismodel.

Perspectives in Informatics 4
To be announced.

Perspectives in Informatics 5
The subject covers topics of many disciplines in the courses of the school from mathematical theory
to application areas. It provides an introduction and state-of-the-art in each topic.

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General subjects provided by the School
Perspectives in Platform Studies
The various type of ubiquitous information in society will be converted into digital data, andthey will be collected extensively. Then they will be stored as large-scale data called “bigdata”. From the viewpoint of Intelligence Science and Technology, Advanced Mathematical
Sciences, Applied Mathematics and Physics, Systems Science and Communications andComputer Engineering, we will introduce latest topics about themes related to "Platform
Studies" while utilizing information and communication technology (ICT) that allows
organizing, analyzing and sharing the data.

Computational Science, Introduction
It is the aim of this subject that attendees obtain the basic knowledge and skills forcomputational science. For this purpose, we give lectures and exercises as described below. In
lectures, we give the following topics: numerical algorithms, computer architecture, basics ofhigh precision computation and high performance computing, parallel computing techniques,
and applications of computational science in various fields. In exercises using the C language,
students acquire optimization techniques for serial computing which is the most important
technique to utilize computers, parallel computing techniques for computers with multi-core
CPUs, and parallel computing techniques for distributed memory parallel computer.

Computational Science, Exercise A
Through statistical processing for large-scale data, it is the aim of this subject that attendees
obtain skills for computer science. For this purpose, we give lectures and exercises as described
below. In lectures, we give the following topics: numerical algorithm, statistical processing,computer architecture, basics of high performance computing and parallel computing
techniques. In exercises, students acquire optimization techniques for serial computing whichis the most important technique to utilize computers and parallel computing techniques forcomputers with shared memory using OpenMP and for computers with distributed memory
using MPI.

Information and Intellectual Property
This subject introduces the copyright law and copyrights of digital contents, the patent law andpatents related to IT area (software patent, business model patent etc.), information technology
for management and creation of intellectual properties, the protection of personal data.
Students are required to acquire the fundamental knowledge of the copyright law, the patent
law, information technology for management and creation of intellectual properties, and theprotection of personal data.

Innovation and Information
This class overviews theories on research and development (R&D) in conjunction with- 27 －27－

information management. Any students, either humanities or science, can take this class that
lectures logic and background of innovations and value creation process. Topics are selected tofoster in-depth understanding of how management theories and development (products orservice innovation) interact; “Central Research Institute” today, definitions of R&D, productarchitecture theory, marketing and innovation, and knowledge management, innovation andmanagement strategy, Japanese way of management and R&D ethics of engineers, and more.

Information Analysis and Management
Nowadays, analysis and management techniques for massive data has been essential toadvance cutting-edge research work in any fields. In this class, we give lectures on selected
topics from many fields such as data management, mining techniques to discover valuable
information and knowledge, information analysis based on several kinds of algorithms andprobabilistic models, and visualization of analysis. More specifically, we address foundationsof computer science such as graph-based modeling and algorithms, data mining, database,information visualization, user interface and interaction techniques, information publishing,and so on. This class aims at learning how to apply these techniques to specific tasks andunderstanding basic idea of them, and applying them to each student's research fields.

Information Analysis and Management, Exercise
Nowadays, analysis and management techniques for massive data has been essential toadvance cutting-edge research work in any fields. In this class, we provide exercises on
selected topics from many fields such as data management, mining techniques to discovervaluable information and knowledge, information analysis based on several kinds ofalgorithms and probabilistic models, and visualization of analysis. More specifically, we
address foundations of computer science such as graph-based modeling and algorithms, data
mining, database, information visualization, user interface and interaction techniques,information publishing, and so on. This class aims at acquiring skills on how to apply thesetechniques to specific tasks through computer exercises and applying them to each student's
research fields.

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Social Contributions through Informatics
This is a practical, hands-on subject in order to support the social contributions of students
through knowledge gained in the subject of academic efforts in the informatics field, including
social services and other activities based on knowledge derived from informatics.
The specifics regarding the implementation and credit approval processes of the subject are as
follows:
1)

Students who wish to take the subject shall prepare an implementation plan and submit it to
the Dean of the School. The implementation plan shall include a specific plan stating i) whatkind of knowledge related to informatics will be used in a social contribution activity, and how
it will be used; ii) implementation schedule and location; iii) when the location is outside theUniversity, information on preparation status, relevance to organizations (NPOs, etc.) outside
the University, and student insurance coverage status; iv) whether the duration is long enoughto cover 45 class hours required for credit approval; and v) observations by the student’s
supervisor.

2)

When the implementation plan prescribed in paragraph 1 is submitted, the Dean of the School
shall refer it to the Student Affairs Committee to deliberate on its appropriateness. When theStudent Affairs Committee deems the implementation plan to be appropriate, the Dean of the
School shall allow the subject to be taken. The Student Affairs Committee shall conduct acomprehensive deliberation on such issues as whether or not the plan falls into the category ofsocial contribution through informatics; relevance to other organizations; and, when the handson learning activity is implemented outside the University, the possible dangers of thelocation, the status of insurance coverage and preparations.

3)

After finishing the activity, students shall submit a report to the Dean of the School, whichshall include implementation records of the 45-hour activity, an evaluation regarding thedegree of achievement of the implementation plan prescribed in paragraph 1, and an accountof expenses incurred during the activity.

4)

When the report prescribed in paragraph 3 is submitted, the Dean of the School shall refer it to
the Student Affairs Committee to deliberate on its appropriateness and shall assign a gradeusing a pass/fail method based on the evaluation of the Student Affairs Committee.

5)Students who take the practical, hands-on subject shall not be allowed to receive anycompensation or reward (except actual travel and accommodation expenses) for the activity.

Note: If students knowingly provide incorrect information in the report prescribed in paragraph 3,
such an act shall be deemed to constitute improper conduct provided for in Article 10 of the
Graduate School of Informatics Academic Grading Regulations. The subject shall not be
subject to Article 11 of the same Regulations.

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Internship in the Field of Informatics
The purpose of the subject is to offer opportunities for graduate school students to deepen theirunderstanding of social structures and carefully think about their future career paths throughinternship programs at private companies and other organizations.
The details regarding the implementation and credit approval processes of the subject are as
follows:
1)

Students who wish to take the subject shall, after detailed consultation with a host company,
prepare an implementation plan and submit it to the Dean of the School. The implementation
plan shall include a specific plan stating i) implementation schedule and location; ii)
information on preparation status and student insurance coverage status; iii) whether theduration is long enough to cover at least 45 class hours required for credit approval; and iv)
observations by the student’s supervisor.

2)

When the implementation plan prescribed in paragraph 1 is submitted, the Dean of the School
shall refer it to the Course to which the applicable student belongs for deliberation on its
appropriateness. Following deliberation at a meeting or other type of meeting, the chairpersonof the applicable Course shall report to the Dean of the School on whether or not the student isallowed to take the subject.

3)

When allowed to take the subject, students shall, after finishing the activity, submit a report to
the Dean of the School, which shall include implementation records of the 45-hour activity,
and an account of expenses incurred during the activity.

4)

When the report prescribed in paragraph 3 is submitted, the Dean of the School shall refer it to
the Student Affairs Committee to deliberate on its appropriateness and shall assign a gradeusing a pass/fail method based on the evaluation of the Student Affairs Committee.

5)Students who take the practical, hands-on subject shall not be allowed to receive anycompensation or reward (except actual travel and accommodation expenses) for the activity.

Note: If students knowingly provide incorrect information in the report prescribed in paragraph 3,
such an act shall be deemed to constitute improper conduct provided for in Article 10 of the
Graduate School of Informatics Academic Grading Regulations. The subject shall not be
subject to Article 11 of the same Regulations.

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Intelligence Science and Technology Course(For the underlined subjects, classes will be provided in English.)Introduction to Cognitive Science
This subject provides an introduction to the major properties of human sensation, perception,and cognition as well as their underlying neural mechanisms. It also introduces the principlesof neural networks and the computational theory of human cognition.

Introduction to Information Science
This subject provides students with a basic understanding of advanced research in Information
Science. It explains the elements and structures of information as well as the theories ofmodeling and abstraction. It also explains methods of analyzing, understanding, and generating
information in the areas of language processing media, speech media, and visual information
media.

Introduction to Bioinformatics
This subject introduces and discusses various information-scientific methods and findings foranalyzing the information flow from genomic sequence, the blue print of life, to a variety of
biological phenomena. The subject provides an overview of the basics of bioinformatics
through discussions of the foundations of life sciences, introduction of fundamental algorithms,
statistical analyses, machine learning approaches, and probabilistic models.

Seminar on Cognitive Science
This seminar explores empirical and theoretical research in cognitive science. Seminar
discussions will focus on recent topics and current problems.

Computational Cognitive Neuroscience
The wellspring of human intelligence is the brain, or more accurately, information processing(i.e., calculation) by the brain. This subject explores acquisition of fundamental knowledge
about information processing by the brain, which is required for purposes such as
understanding human brain function and learning about human intelligence in order to develop
novel intelligent systems. Starting with the importance of looking at things from theperspective of brain processing, this subject explains how experiment and theory in cognitive
neuroscience (i.e., experimental knowledge of the relationship between action and brain
activity, and mathematical neuroscience models based on statistical information science andmachine learning) work in tandem to advance our understanding of brain mechanisms andinformation processing by the brain. Specific topics to be covered include those related to a
relatively microscopic level of understanding, such as the encoding of external information by
the activity of neuronal populations and the use of information geometry to conduct groupinteraction analysis; functions in brain areas such as basal ganglia circuits; as well as topics
related to macroscopic understanding, such as higher-order cognitive functions in humans
including caution, decision-making (enforced learning), and social decision-making(psychological theory). All of the above will be explained in terms of brain processing, andrecent studies will be introduced as well.

Pattern Recognition (Advanced)
The subject introduces fundamentals of pattern recognition, clustering methods with several- 31 －31－

distance measures, and feature extraction methods. It gives a review of state-of-the-art
classifiers such as Gaussian Mixture Models (GMM), Hidden Markov Models (HMM), andDeep Neural Networks (DNN) as well as learning theories which include Maximum
Likelihood Estimation (MLE), Bayesian learning, and Deep learning. It also focuses onmodeling and recognition of sequential patterns.

Speech Processing (Advanced)
This subject covers fundamentals of speech, audio, and music processing. After a brief reviewof the mechanism of human hearing, the basics of the nature of speech and its analysis are
introduced. Then, speech synthesis, coding, and recognition as well as spoken dialogue systems
are reviewed. Next, audio signal processing, specifically source localization, separation, andrecognition, is explained. Finally, we introduce methods for processing such as automatictranscription and source separation using music.

Language Information Processing (Advanced)
This subject focuses on morphological analysis, syntactic analysis, semantic analysis, andcontext analysis, which are necessary to process natural language texts. The subject also
explains their applications such as machine translation, information retrieval, and natural
language man-machine interface.

Computer VisionThis subject covers the basics and applications of visual information processing necessary forcomputational analysis and understanding of real-world images/videos of objects and scenes.
Students will learn the theory and its applications of fundamental and applied computer vision
topics, also through hands-on implementation experience, ranging from optical and geometriccamera models, projective geometry, and image processing, to 3D reconstruction including
photometric stereo and structure from motion, motion analysis and object recognition.

Visual Interface
This subject focuses on the interface between humans and computers based on human sensing.
The subject explains the basic concepts of human interface, virtualization of the real world,
input and output devices for interface, fundamental ideas for physiological measurements, anduseful techniques for measuring or recognizing gaze, facial expression, motion, etc.

Bioinformatics (Advanced)
This subject covers advanced topics in bioinformatics and biological sciences. In particular, thesubject will focus on discrete algorithms for bioinformatics and discrete mathematical models
for biological networks. The Introduction of Bioinformatics subject is a prerequisite for taking
this subject.

Advanced Study in Intelligence Science and Technology 1
In this class, students obtain advanced knowledge related to their research themes in Intelligent
Science and Technology from exercises that are based on a systematic teaching of basic
material previously learned. The subject consists of seminars, internships, and invited lectures.

Advanced Study in Intelligence Science and Technology 2This subject provides students with systematic exercises for studying various advanced- 32 －32－

research related to their research themes in Intelligent Science and Technology. The subject
consists of seminars in which students review recent research papers and discuss the methods
and results published in the papers.

Seminar on Intelligence Science and Technology I and II
The goal of this subject is to introduce students to the different aspects, methodological andapplied, that form the field of Intelligence Science and Technology. Students following thissubject will be given opportunities that may include: visit other laboratories than that to which
he/she is originally attached to, and possibly attend a subject, a seminar or a practical training
session; hear about the latest research carried out by members in other laboratories; carry out
an internship within a relevant industrial partner or research institute. This subject is intended
for students of the IST Course, but may accept, if conditions allow for it, students coming fromoutside the Course.

Seminar on Intelligence Science and Technology III and IV
The goal of this subject is to introduce students to the different aspects, methodological andapplied, that form the field of Intelligence Science and Technology. Students following thissubject will be given opportunities that may include: hear about the latest research carried out
by members in other laboratories in the Course; attend lectures provided by a lecturer from adifferent research institute or in the industry; carry out an internship within the industry or inanother research institute. This subject is intended for students of the IST Course, but may
accept, if conditions allow for it, students coming from outside the Course.

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Social Informatics Course
Subjects whose name is underlined will be provided in English in principle. For subjects
provided in both Japanese and in English, the credits can be earned from either of them.

Information and Society(Class given both in English and Japanese, at the same time, in separate classrooms)
This subject introduces social issues dealing with the impact of information technology onsociety: information policy, information and law, information and economics, information
ethics, and information and education. Students will learn the social aspects of information
technology from multi-disciplinary viewpoints: the history and trends of information
technology; problematic issues regarding an information society; social revolution brought on
by information technology, privacy, and security issues; policies concerning information,
intellectual properties, and the way IT experts think and the responsibilities they bear.

Information System Analysis(Class taught in Japanese with English language support in the classroom)
This subject introduces fundamental theories and technologies for analyzing and evaluating
information and information systems. Students will learn several statistical processing
methods: experimental design, systems analysis, data analysis, and data mining. In conjunction
with lectures, students of the Social Informatics Course will complete exercises on information
system analysis so that they may understand information system analysis theory andtechnology through the practice of applying them to real data.

Practice of Information Systems(Japanese and English lectures will be held in the same classroom)
Students will learn the fundamentals of analyzing and designing information systems throughpractical application of theories and technologies learned in lectures to real-world issues.

Multiagent Systems(Class taught in English with Japanese language support in the classroom)
This subject introduces fundamental concepts, methodologies and underlying technologies on
multiagent systems for analyzing, designing and implementing social information systems. In
particular, the subject presents fundamental concepts and methodologies regarding the basics
for collective intelligence, crowd computing, mechanism design, and real-world system
implementations and deployments. Students will examine multiagent methodology andimplementing/operation technologies to learn how multiagent systems are designed,
implemented and operated.

Biosphere Informatics(Class taught in Japanese with English language support in the classroom)
In this subject, students will learn about basic methods for analyzing data obtained in thebiosphere, primarily using R. In addition, students will give a presentation on the results of
their data analyses related to biological and environmental problems.

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Human-Robot Interaction
Intelligent robots are becoming more and more common in people’s everyday lives. An
increasing number of robots are designed with a variety of interactions as its primary function;for example, human-like robots capable of social interaction with humans, robots performing
duties and activities alongside humans without getting in the way, and robots controlled byhumans such as telepresence robots or drones. To build robots with a capacity for interactions
requires not only information processing technology and artificial intelligence robotics
technology but also an academic thought process for understanding the characteristics ofhuman recognition and psychology. In this lecture, objective views of human-robot interactions
in a variety of forms are presented and students will learn to acquire an academic thoughtprocess so that they can design and build new forms of interactions.

Disaster Information
This subject presents an outline of disaster prevention and reduction countermeasures both
inside and outside Japan, with special reference made to disaster-information-related topics.
The subject introduces concrete examples of disaster information systems to show that thepsychological aspect of information users under critical social conditions is carefully taken into
account in such current disaster information systems.

Emergency Management
Damage from disasters is defined by two factors: scale of hazard and social resiliency. Twostrategies and losses exist to reduce damage and losses from disasters—namely, crisis
management as a post-event countermeasure and risk management as a pre-event measure.
This subject introduces an integrated research for disaster reduction, consisting of response,
recovery, mitigation, and preparedness.

Medical Informatics
This subject covers the applications of information science and technology in the field of
medicine as well as recent topics. Additionally, the subject covers what information scienceand technology provided for the field of medicine.

Business Information
This subject introduces the theory, practice and state-of-the-art solutions regarding various
phenomena related to a ubiquitous network society, as viewed from the perspective of ICT
businesses. Topics include, for example, e-businesses, ubiquitous networks, communication
policies, corporate information systems, knowledge management, community IT, etc.

Information Education
This subject will teach how to design, develop, and evaluate information systems to support
education and learning using artificial intelligence, information retrieval technology, andnetwork technologies. This subject also focuses on recent related technologies such as learning
analytics using educational big data and ubiquitous learning environments, and understands
theories and practical research methods in educational informatics by designing educational
learning support systems.

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Distributed Systems
A distributed system consists of numbers of computers liaising via LAN, Internet and wirelessnetworks. This subject teaches large scale distributed systems such as Web services supported
by hundreds of servers and Internet-scale systems involving millions of computers. Students
learn today's and coming network computing through lectures on related technologies, cases
and literature.

Cryptography and Information Society
This subject covers basic security technologies, including encryption and authentication as wellas their applications in our information society. In particular, the subject introduces various
issues that arise in the operation of public-key cryptography used in PKI, which is theinfrastructure for authentication and digital signatures on the Internet. The subject also presents
new applications of cryptography such as e-cash and e-voting as well as the current situation in
e-trading and operation in actual networking infrastructures.

User Experience (UX)
(Japanese and English lectures will be held in the same classroom)
In this subject, students will learn about methodologies for improving User Experience (i.e. theexperience that users gain through their interaction with technologies). Drawing on recent
studies, students will investigate user interfaces they find difficult to use or technologies they
think are harmful to people/society, propose technologies to improve these problems, create
simple prototypes, evaluate them, and make presentations.

Service Modeling
Intangible phenomenon, assets, and processes are valuable on “service”. Service visualization
is effective for multiple stakeholders to recognize such service appropriately and share its
information. This subject examines the methods and intent of service modeling from multiple
perspectives. The scope of the subject is not limited to the service industry represented byconsumer services, but includes the whole industry such as servitization on the manufacturingindustry.
Thus, lectures are interdisciplinary, involving the fields of business administration andinformatics.

Advanced Study in Social Informatics 1
Students propose research topics dealing with the social applications of information andnetwork technologies. Moreover, they conduct research on their topics, which includes
systematic surveys, exercises, and experiments.

Advanced Study in Social Informatics 2
Students will select their research themes and then conduct research (including technology
development, survey work, and a research discussion) dealing with the social applications of
information and network technologies. Finally, they will present their research results in theform of a research paper. Through their research, students will learn ways of evaluating andcritiquing research.

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Applied Mathematics and Physics Course(The underlined subjects will be provided in English.)Operations Research, Advanced
This subject examines optimization methods for various mathematical models that arise inengineering, the social sciences, and the natural sciences, with particular emphasis given to thetheory of nonlinear optimization and the design of discrete optimization algorithms.

Mathematical Physics, Advanced
This subject deals with various problems that appear in mathematical physics by focusing on
mathematical aspects. In particular, the topics include applications of perturbation theory,
calculus of variations, singularity analysis to some physical models including forced pendulum,billiard mapping, and celestial mechanics.

Systems Analysis, Advanced
This subject deals with fundamentally important issues related to dynamical systems modelingand algorithms. Specifically, the subject covers the system identification schemes such as theprediction error method and the subspace method, as well as the relationship between
computational algorithms and integrable systems.

Mathematical Analysis, Advanced
The aim of this subject is to provide students with knowledge of advanced mathematicalanalysis methods used with nonlinear models. This subject covers the theory of integrable
systems as precisely solvable nonlinear models and orthogonal polynomials. Specifically,
topics such as stochastic processes and quantum communication related to integrable systems
are discussed from various viewpoints. The usage of computer algebra systems is also
introduced.

Discrete Mathematics, Advanced
This subject focuses on the fundamental techniques for designing algorithms such as dynamic
programming, divide-and-conquer, the greedy method, the local search and min-max property(duality) in discrete optimization. The subject also introduces some new topics from the areasof graph network theory, and approximation algorithms.

Control Systems Theory, Advanced
This subject covers fundamental issues on control systems analysis and synthesis including
recent trends. The importance of system model uncertainty is discussed after reviewing
subjects taught in standard undergraduate control subjects. Topics include: robust control
theory, application of convex optimization and polynomial methods, distributed control for
multi-agent systems, and the effects of stochastic noises in control systems.

Optimization Theory, Advanced
The subject focuses on basic optimization theory and algorithm design for solving convex
optimization problems. Topics include duality in nonlinear optimization, interior point methods- 37 －37－

for linear and convex programming problems, and convex optimization approaches to realworld problems.

Physical Statistics, Advanced
This subject focuses on basic spectral theory of stochastic processes based on ergodic theory,
statistical mechanics of deterministic chaos, and physical statistics with special attention given
to the application of stochastic processes and stochastic physics to communications systems,
energy-information integrated networks, physical, biological and sociological model systems.

Dynamical Systems, Advanced
The knowledge of dynamical systems is extremely important in mathematical sciences andapplied mathematics. This subject provides an outline of dynamical systems theory, which is atool to analyze nonlinear phenomena such as bifurcations and chaos, and enables you to gain
better understandings of these phenomena and applications by using a numerical bifurcation
analysis software.

Introduction to Mathematical FinanceThis subject introduces the topic of mathematical finance with asset-price processes modeledby stochastic processes.

Financial Engineering
Researchers familiar with the real world of finance teach this subject on financial engineering,with particular emphasis given to the understanding and solution of financial problems ineconomics and management from the viewpoint of mathematical science.

Topics in Applied Mathematics and Physics A
The purpose of this program is to understand how scientific achievements in mathematicalengineering are transferred into real world applications in relation to an information society.
Requirements for practical applications of mathematical engineering are explained by primarily
focusing on OSs, networks, body area networks (BANs) as well as optical blood analysis
technologies and mathematical designs in related fields. As examples, we delve into
contemporary issues such as next generation mobile networks and energy efficient andsecurity-related BAN technologies, mainly in the medical and health care application fields.

Topics in Applied Mathematics and Physics B
Based on their experiences pursuing actual corporate research incorporating systemarchitecture theory as defined by international standards, corporate researchers present lectureson construction theory for mathematical models, which is indispensable for planning,
evaluating, and operating systems. As an application example, they teach modeling theory for
IT systems, especially manufacturing systems, and also explain in concrete terms the use trendof the modeling technique used in the social infrastructure field (particularly, so-called lifelines
such as railways, electric power, communication, and water service).

Seminar in Mathematical Analysis
The goal of this subject is to understand and acquire basic mathematical methods and- 38 －38－

techniques for advanced study on mathematical analysis. In particular, taking the students’request, basic academic ability and research experience into consideration, we will choose
textbooks and hold seminars.

Seminar in Discrete Mathematics
In this subject, we study how algorithm design techniques such as branch-and-bound method,
dynamic programming, and integer program are used to solve actual problem instances of
discrete optimization. For this, we use solver tools such as CPLEX and MATLAB and write
program codes in C language to conduct computational experiments.

Seminar in System Optimization
In this subject, we study mathematical optimization models, optimization theories andalgorithms such as robust optimization, conic optimization, dual theory, and the first- andsecond-order methods. Moreover, we learn to write program codes in Python/Matlab/C
language to conduct numerical experiments for mathematical optimization.

Seminar in Control Systems Theory
This seminar focuses on the design of control systems using up-to-date research as well as
fundamental theories. The seminar content includes optimal control, robust control, stochastic
control, networked control, estimation, and system identification. Applications to industrial aswell as social systems are also discussed.

Seminar in Physical Statistics
The Central Limit Theorem (CLT) is deeply related to statistics of various kinds of data. In thisseminar, we study the fundamental theory of CLT, the Generalized Central Limit Theorem(GCLT) and its applications to data analysis in Finance, Engineering, and Physics.

Seminar in Dynamical Systems
The goal of this subject is to understand and acquire several theories and techniques required
for advanced level studies related to dynamical systems by reading textbooks and discussing
various topics treated there. The textbooks will be chosen by taking students’ requests into
account.

Advanced Study in Applied Mathematics and Physics 1
In the fields of applied mathematics and physics, recent topics are addressed in each seminaralong with computer simulations or exercises according to the themes covered.

Advanced Study in Applied Mathematics and Physics 2
Each seminar deals with topics from the above-mentioned Advanced Study I subject or withadvanced topics connected to those addressed in Advance Study I, with computer simulation if
necessary.

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Systems Science Course(For the underlined subjects, classes will be provided in English.)
Systems Sciences, Advanced I
This subject covers a wide range of research topics in systems science including the topics suchas synthesis and evaluation of various systems, analysis of system stability and reliability, andthe relation of systems to humans and society. In this lecture, we will describe most-advanced
research topics in each field of the Course with its methodology.

Systems Sciences, Advanced IIThis subject covers a wide range of current research topics and future directions in systems
science. This subject covers synthesis and evaluation of various systems, their stability andreliability, and the relation of systems to humans and society. Student presentations are
required during this subject.

Control Theory for Mechanical Systems
Multi-agent systems are systems composed of multiple autonomous systems which interact
each other. This subject presents modeling techniques and fundamental theory for analysis andcontrol of multi-agent systems.

Theory of Human-Machine Systems
Various interactions observed in human-machine systems, especially interactions involving
human behavior and roles are discussed with respect to human recognition ability, their actions,errors, inferences, feelings of affection, and biological characteristics. Theories andmethodologies for constructing reliable human-machine systems are taught. Lectures that
discuss the application methods involving these systems are held with practical examples.

Theory of Integrated Dynamical Systems
In this subject, we will study optimal control theory of nonlinear systems as a general
methodology for modeling, analysis, design, and control of various kinds of systems
integrating humans, machines, societies, and environments. After an overview of thefundamentals of optimization, we will discuss various settings of problems, numerical solution
techniques, applications, and recent research trends of optimal control problems.

Systems Theory of Learning Machines
This subject covers the methodologies required for a machine with a physical body, such as arobot, to learn dynamic tasks through interaction with the external environment. Specifically,mathematical frameworks to derive the physical model (kinematics and dynamics) of a multidegree-of-freedom robot and the robot motion learning methods are introduced.

Integrated Systems Biology
This subject aims to present information processing models of biological phenomena andhuman intelligence systems. Particular topics include the mathematical models of
reinforcement learning and sensory information processing, their potential implementations in- 40 －40－

the brain, and applications to artificial intelligence problems such as automatic playing ofmulti-agent games.

Medical Information Systems
This subject explains information technologies, imaging methods and systems related to
medicine and clinical treatment. In addition to the basics of biomedical engineering andmedical imaging, this lecture introduces the principles of medical imaging device, medical
image analysis, machine learning methods and applications to clinical medicine.

Modeling and Problem-Solving of Complex Systems
This class aims to provide frameworks for solving various problems of complex systems. The
methodologies consist of modeling target systems, feedback control to achieve our objectives,and formulation of optimization problems by taking account of constraints.

Computational Neuroscience
The brain and neural systems are special in that they are information processing systems buildfrom natural components. Computational neuroscience, as a research discipline, studies thebrain from an information processing viewpoint. This subject addresses the brain's ability tooperate in uncertain environments and its capacity to learn (adapting to the environment) by
discussing various models of the brain and their applications to engineering tasks.

Computational IntelligenceThanks to advances in information technology, we are able to accumulate vast amounts of realworld data, making data mining, the task of efficiently extracting meaningful information fromsuch data, increasingly important. This subject presents computational intelligence methods
based on statistical science (such as statistical learning theory), and describes their applications
to various information extraction problems.

Systems Biology
This subject will introduce interdisciplinary knowledge, techniques, and concepts covering awide range of areas related to developmental, cellular, and mathematical biology, as well as
information science. Students will deepen their understanding of the structure, function, anddynamics of cells, as well as their molecular actions, and learn systems biology that considers
cells as systems.

Advanced Study in Systems Science 1
Seminars and workshops on various current research themes in systems science are held. Also,
experimental practices and exercise on respective research themes are carried out.

Advanced Study in Systems Science 2
Seminars, workshops, experimental practices and exercise on further and advanced research
themes are carried out.

- 41 －41－

Communications and Computer Engineering Course(For the underlined subjects, classes will be provided in English.)
Theory of Discrete Algorithms
This subject covers recent topics within the field of discrete algorithms. It describes the basic
concepts of computational theory, outlines of the basic algorithmic techniques for the divideand-conquer method and dynamic programming, and covers practical techniques forapproximating algorithms and online algorithms. Furthermore, the subject introduces advanced
algorithmic techniques for efficiently manipulating large-scale discrete structural data such as
logics, sets, sequences, and permutations.
Required background: algorithms and data structure, logic systems, graph theory

Introduction to Algorithms and Informatics
Algorithms are strictly defined methods for solving problems based on calculations. Highly
reliable algorithms are vital for daily human life; for example, the internet or smartphones
would not exist without algorithms. This introductory subject discusses algorithmic design andanalysis of its efficacy through examples of general algorithms that are important and widelyused in society.

Digital Communications Engineering
This subject explains fundamental technologies in digital communications engineering such as
matched filter theory, modulation and demodulation schemes, convolutional coding, andmaximum-likelihood decoding. It also discusses how these techniques will be applied to actual
wireless communication systems. It moreover introduces representative anti-multipath fading
techniques and the recent technical trend of broadband wireless communications.

Information Networks
This subject introduces fundamental architectures and technologies for the design of
information networks, which include packet switching based networks and communication
protocols such as internet protocol (IP). Mobile networks and security are also discussed as
their applications.

Integrated Circuits Engineering, Adv.
An integrated circuit is a key device that enables functionality enhancement, performanceincrease, and cost reduction of an electronic system. Steady progress in fabrication technology
leads to an exponential increase in integration scale.
This subject focuses on the design methodology of a very large-scale integration (VLSI), withCMOS fabrication and characteristics. Topics covered by the subject include the current status
and future directions regarding VLSI design technology, VLSI design flow, VLSI fabrication
technology, CMOS layout design, MOS device characteristics, delay and power of CMOS
circuits, and clock and power distribution.
Required background: electronic circuits, digital circuits, logic circuits

Design in ICT
Computers and communication networks are representative complex technical artifacts, but it is- 42 －42－

not an easy task to perceive their construction principles because their design processes areinvisible for us. In this subject, we study design principles for information and computer
technology (ICT) in terms of (1) hierarchical abstraction, (2) tradeoff, and (3) human and social
analogy, being the computers and the communication networks as specific examples. Recent
advances and directions for the design of future ICT will be also discussed using the above
design principles.

Theory of Computational Complexity
The main purpose of Theory of Computational Complexity is to categorize the issues with its
complexity. In this subject, the first half covers the basics of complexity theory, especially NPcompleteness. The second half is comprised of the advanced current topics on the theory.
Required background: design and analysis of algorithms

Parallel Computer Architecture
In this lecture, we first learn instruction-level parallelism in a single processor and its
limitations, and then learn data-level parallelism, thread-level parallelism etc., as well as
various parallel and domain-specific computer architectures.
Required background: computer architecture, compiler

Hardware Algorithm
Various dedicated circuits are equipped in VLSI systems for high-speed and low-powerprocessing. In development of such circuits, design of their underlying hardware algorithms,
i.e., procedures suitable for hardware implementation, is crucial.
In this lecture, we learn hardware algorithms and their design methods mainly for arithmetic
operations.
Required background: computer architecture, logic circuit, algorithm

System Verification
This subject lectures methods for verifying that a system conforms to a given specification. We
will cover the theory and the tools for model checking, interactive theorem provers, abstract
interpretation, and monitoring.
Required background: propositional logic and first-order logic; regular languages andautomata; computational complexity; and basic mathematical concepts such as sets, relations,and functions.

Formal Semantics of Computer Programs
The subject discusses formal semantics of computer programs including that of advanced
constructs (such as pattern matching and exceptions) found in high-level programming
languages and theoretical frameworks to ensure safety of program execution, such as typesystems, and type inference.
Required background: programming languages

Transmission Media Engineering, Adv．
This subject introduces link budget design, wireless network design, characteristic analysis, andradio resource management required for using integrated-media communications. Additionally,- 43 －43－

the relationship of transmission technologies to optimization theory, game theory, stochastic
geometry analysis, and machine learning will be discussed.
Required background: information theory, modulation theory, and basic knowledge ofcommunication networks.

Integrated System Architecture and Synthesis
This subject first introduces algorithms for application-specific domains such as image andvideo processing. Students then study integration methodologies for multi-media systems.
Considering the different levels of parallelism, this subject covers basic algorithms, VLSI
architectures, taxonomy of system integration, and evaluation.
Required background: computer system, logic circuits, image processing

System-Level Design Methodology for SoCs
This subject introduces state-of-the-art design methodologies for system-on-a-chip (SoC). The
subject covers high-level synthesis, verification technologies, low-power design, design for
testability, and other design technologies used in computer-aided design of SoC.
Required background: computer system, logic circuits, programming languages

Atmospheric Measurement Techniques
Various interactions between electromagnetic waves and the Earth’s atmosphere, such as
scattering, delay, refraction, and radiation, are applied to design novel atmosphericmeasurement techniques. This lecture explains the fundamental processes occurring in the
Earth’s atmosphere and introduces various atmospheric probing techniques such as radar, lidar,and earth observation satellite. It also elucidates the advantages and disadvantages of thesetechniques. This subject is offered to the Inter-Graduate School Program for Sustainable
Development and Survivable Societies (GSS) of the Center for Educational Program Promotion
in Graduate School.
Required background: Radio engineering, fundamentals of light quantum theory, spectral
analysis, mathematical statistics

Remote Sensing Engineering
Remote sensing is a generic term covering a variety of technologies with which physicalparameters of interest are measured and/or estimated from a distance. This is a type of inverse
problem that suffers essential difficulties by the facts that only some parts of, integrated and/or
mixture of the objective values can be observed. In order to solve such a problem, it isnecessary to apply an adequate mathematical formulation, and a corresponding solution
algorithm to it. In this subject, the theoretical frameworks needed for remote sensing problems
are systematically lectured.
This class is offered to the Inter-Graduate School Program for Sustainable Development andSurvivable Societies (GSS) of the Center for Educational Program Promotion in Graduate
School.
Required background: radio-wave propagation, Fourier transform, probability and statistics

Computer Network, Advanced
Technologies for end-to-end communication and quality-of-service assurance, virtualization
technologies, multimedia data representation formats and delivery technologies, algorithms and- 44 －44－

protocols for secure communication, and legal systems related to privacy protection andcopyrights will be discussed in detail, including the latest trends.

Supercomputing, Advanced
This lecture is for learning architectural and software issues in supercomputing focusing onparallel high-performance scientific computing. The students will use the supercomputer in
ACCMS to learn how a real supercomputer works. The lecture is open to students from any
graduate schools whose convenience to attend the lecture is regarded by assigning the fifth
period for the lecture.

Advanced Study in Communications and Computer Engineering 1
This subject will provide students with the necessary skills to conduct research anddevelopment in this area by understanding cutting-edge technologies in computer
hardware/software as well as information and communication technology, which constitute theinfrastructure of an information society.

Advanced Study in Communications and Computer Engineering 2This subject will provide students with the necessary skills to conduct research anddevelopment in this area by tackling new challenging research topics in computer
hardware/software as well as information and communication technology, which constitute theinfrastructure of an information society.

- 45 －45－

Data Science Course(For the underlined subjects, classes will be provided in English.)Foundations of Statistical Science
This lecture aims to provide students with the theoretical background of statistical models,
which play a central role in recent data science, and to master the implementation of statisticalinference. Considering students who need a more fundamental knowledge of statistics, the firsthalf of the lecture starts from the basics of probability and stochastic processes, introduces
various statistical models as generalizations of linear regression models, and explains theinference of the models with data examples. In the second half, the basic theory of Bayesianinference and its application to machine learning will be explained.

Digital Transformation
The 2018 Ministry of Economy, Trade and Industry (METI) report "Digital Transformation(DX) Report - Overcoming the IT Systems "2025 Cliff" and Full-Scale Deployment of DX"
reported on the need for DX in Japan's economic development and the current status andchallenges. However, the "DX White Paper 2021" published in 2021 reported that rigidorganizational culture in Japanese organizations and existing structures such as legacy systems
are holding them back, and that they are not fully capable of responding to necessary changes.
The digitization of society as a whole is considered essential for further economic growth andproductivity improvement through the realization of Society 5.0. The government is also
promoting digital transformation (DX), as exemplified by the establishment of the Digital
Agency, and the benefits of streamlining original operations through DX will be significant. In
this lecture, we aim to deepen the discussion on the current status, issues, and direction ofsolutions for DX in society, using healthcare as an example.

Secondary Usage of Data
The digitization of society as a whole is considered essential for further economic growth andproductivity improvement through the realization of Society 5,0. Japanese governments arealso promoting digital transformation (DX), as exemplified by the establishment of the Digital
Agency, and the secondary use of data accumulated as a benefit of DX offers even greater
potential. This lecture aims to deepen the discussion on the current status, issues, and directionof solutions for the utilization of data in society, using healthcare as an example.

Seminar in Data Science (Master’s program)This subject covers a wide range of research topics in data science, including statisticalmodeling, as well as theories, methods, and applications of data analysis and machine learning.
We discuss most advanced research topics and their foundations and methodologies in relevant
academic fields, and discuss future directions of data science. Student presentations are
required during this subject.

Statistical Signal Processing
Signal Processing is one of theoretical frameworks to extract useful information from raw
observation data. This lecture focuses mainly on the estimation problem of an unknown vector
from the observation data, and provides detailed explanations on the approaches of linear
inverse problem and Bayesian inference problem from basic theory to practical algorithms
including least squares, minimum mean-square-error estimation, adaptive signal processing,- 46 －46－

array signal processing, compressed sensing, Kalman filter, particle filter and belief
propagation.

Computational Learning Theory
This subject provides lectures on machine learning for discrete data. Neural networks havebecome one of the most influential machine learning methods for real-valued data and had a
big impact on our daily life. However, they are not suitable for discrete data; therefore, thesubject will focus on other methods. In the first part of this subject, we will introduce theformal and mathematical foundation of machine learning and discuss machine learning
methods for string patterns and finite-state automata in the model of language identification in
the limit. In the next part of the subject, we will also introduce machine learning methods fortree-structured data. For discovering frequent patterns from binary vectors, we will discuss
methods for itemset mining and closed itemset mining. As extensions of this topic, methods forfrequent pattern mining on string and tree data will also be discussed. In the final part of thissubject, we will introduce the PAC learning model and discuss the possibility andcomputational complexity of learning Boolean functions.

Statistical Learning Theory
This subject explains statistical methods for and mathematical perspectives of inferences,predictions, and decisions from data based on probability models. In the first half of the subject,
there is an emphasis on model selection and resampling methods using information criteria,
while in the latter half, the focus is on dynamic decision-making using bandit algorithms.

Information-theoretic Systems Theory
This subject discusses mathematical approaches, based on probability and statistics, toinference and learning under uncertainty, which form the basis of technologies of machinelearning and artificial intelligence. The main focus will be on relations with high-dimensional
probability and statistics, as well as with information theory.

Statistical Systems Theory
This subject explains statistical methods for and mathematical perspectives of inferences,predictions, and decisions from data based on probability models. In the first half of the subject,
there is an emphasis on model selection and resampling methods using information criteria,
while in the latter half, the focus is on dynamic decision-making using bandit algorithms.

Advanced Study in Data Science 1
In this subject, students obtain basic knowledge required to conduct research in respective
fields of data science, and conduct exercises and experiments according to their research
themes.

Advanced Study in Data Science 2
The objective of this subject is to facilitate students for deepening their study along theirrespective research themes, and for acquiring skills for evaluation and criticism on researches,with the aim of writing their own thesis.

- 47 －47－

Subjects for Design course
Information Design
Methodologies of designing artifacts and social activities from the perspective of Informatics
are lectured and discussed with students.
Specifically, students will learn about the design of language and expression, design ofinteraction, design of business, design of ideas, design of discussion, and understanding andreliability of information in order to make information and functions understandable andacceptable.

Field based Learning/Problem based Learning (FBL/PBL) 1, 2This subject is designed to enable students to put design theories and design methods into
practice and to acquire these theories and methods. In Field based Learning (FBL), students canexperience the process of finding the problems to be solved from a given real-world fields as ateam project. In Problem based Learning (PBL), students can experience the process of solving
a given real-world problem as a team project.

Subjects for Platform Studies
Seminar in Platform Studies
From the perspective of social information and utilization in the fields of agriculture, medicalcare, disaster prevention, this subject will focus on the actual usage of “platforms” and thelatest research trends in “platforms” utilization, as well as the case studies by companies use“platforms”, on their themes related to "platforms" using information and communications
technology (ICT). Also, practical trainings on how to collect the various type of ubiquitous
information in society into the cloud with devices of information and communication, andprocess and utilize collected data will be performed.

- 48 －48－

Other subjects provided by the School
Computational Science, Exercise B
This lecture is for learning high-performance and parallel programming for scientificcomputing. Students will develop their own programs of a given typical scientific problem in
C or Fortran according to their preference, and parallelize the program with MPI and OpenMP
to run it on the supercomputer in ACCMS. The given problem, such as an explicit differential
solver of diffusion equations, is not only fundamental and commonly acquainted by students,
but also useful for their research of computational science because the programming andparallelization technique for it is widely applicable. The lecture is open to students from any
graduate schools whose convenience to attend the lecture is regarded by offering it as a summer
school seminar.
1) Introduction to supercomputers and parallel computing2) Finite difference method for diffusion equations
3) Program coding of an explicit differential solver4) Multi-thread parallel programming (OpenMP)5) Multi-process parallel programming (MPI)

Computational Science for Big Data (Not provided for this year)
Because of the recent progress in a computer or the maintenance of intelligence infrastructuretechnology, the increase of the quantity of the data generated from the social activity performed
through the Internet such as cloud computing and the quantity of the data obtained through thecomputer simulation which is an important technique of computational science, is beingenhanced every day. The purpose of this subject is to study the techniques for handling big
data. In particular, data analysis methods using eigenvalues and single value analysis of large
sparse matrices, optimization methods for big data, and methods to visualize big data are
discussed.

Information Security
Information technology and networks have advanced to the point that they have become
necessary for industrial and academic activities. However, the vulnerabilities hidden in thesetechnologies have led to new dangers to society. This lecture series will discuss knowledge
such as ensuring safety, defense against attacks, data recovery, and the legal system, withrespect to the use of the internet or intranet, from the perspective of the user as well as thelatest technologies.

Practice on Informatics in BusinessInformation Technology (IT) has become an indispensable part of industry and digitaltransformation (DX) is a key component of staying competitive in business. After learning thesignificance of IT in business management, students will deepen their understanding throughcase studies applying IT strategies founded on business strategies. Furthermore, DX will be
explored in several types of industries and learned through practical applications. This subject
is a general summary of the subject for graduate students within the Business Informatics
Practicum, and is an excellent opportunity to gain hands-on experience with IT in business
management.

- 49 －49－

In cooperation with multiple companies, this subject allows students to experience how IT isused in business to capture the importance of information, which improves the competency ofskills required in society. Because information and IT are also required in a variety of researchareas and occupations, this course targets a wide range of students without restrictions on thefield of study. By recognizing the connection of IT to their own field, we hope this course willplay a big role for the students’ future success in society.

Artificial Intelligence, Advanced
Artificial intelligence (AI) has found its way into everyday life through tools such as thoseused for translation and image recognition, and is expected to undergo further development. AI
is also expected to play an extremely important role in providing a competitive advantage toindustries that adopt AI technologies. On the other hand, humans have not yet clearly defined
intelligence, and the definition of the term artificial intelligence has yet to be clarified. In thislecture series, AI will be discussed from a historical perspective, beginning with its birth andits evolution. The technological and practical considerations of AI will be discussed
systematically through the lenses of system recognition, analysis, and control. The future of AI
will also be discussed.

Practice of Design Thinking
The process of system and software development can be broken down into the following steps:
A. Identify issues and needs and develop solutions
B. Define these solutions for implementation into systems and software
Design thinking is an effective tool to accomplish A. The other class called “Practice ofsystem design from users’ perspective” is designed to accomplish B. The process of B iscalled business requirement definition and is vital for accurately informing requirements to thedeveloper. In real business, programmers then implement these business requirement
definitions. This subject allows students to learn design thinking through lectures andpracticums.
Design thinking is one effective method for bringing about innovation in society and is aproblem-solving approach that has recently garnered much attention. It is difficult toaccurately grasp true intentions in a rapidly changing modern society, in addition to responding
to client or user desires and requests. This lecture series will discuss design thinking and its
processes from two broad perspectives: problem discovery and problem resolution. These
discussions will equip students with the skills to uncover the true issues and resolve them.

Practice of Business Requirements Definition(“Practice of system design from users’ perspective” in the Graduate School ofManagement)
The process of system and software development can be broken down into the following steps:
A. Identify issues and needs and develop solutions
B. Define these solutions for implementation into systems and software
The other class called “Practice on Design Thinking” is designed to accomplish A. The processof B is called business requirement definition and is vital for accurately informing requirements
to the developer. In real business, programmers then implement these business requirement
definitions. This subject allows students to focus on business requirements definitions as “userperspectives on system design” through lectures and practicums.

- 50 －50－

The importance of clearly defining requirements such as functionality to be implemented duringsystem and software development can be said to determine the success of a given project.
Defining business requirements begins with identifying the problem that a system or software is
being designed to solve. This lecture series aims to provide an understanding of the business
requirements, philosophies, processes, advantages/disadvantages, and characteristics ofdevelopment methods such as the waterfall and agile methods. Focusing more on agile method, it
discusses the importance of defining business requirements and common pitfalls from theperspectives and experiences of the user and system developer through case studies.

Practice of Business Data Analysis
Society is moving towards resolving social issues in a data-driven manner through all things
connected to the internet. In such an environment, it will be extremely important to determine
how best to manage the large amount of data, and to pick out the relevant resolution to social
issues. In this practical lecture series, students will learn how to effectively use data analysis toresolve issues in a business setting.

Practice of Frontier Technology Application
The speed of technological evolution represented by AI is occurring at an astonishing pace as theworld accelerates towards digitization. Thus, how a businessperson interacts with and uses thisnew technology will become vitally important. This lecture series will focus on new technologies
such as AI and how they can be used in business, including methods and mindsets throughpracticums. The lectures will also discuss current trends and future developments of advanced
technologies.

- 51 －51－

Courses for the Doctoral Program 2024
Intelligence Science and Technology Course ............................................................................... 53
Social Informatics Course ............................................................................................................. 55
Applied Mathematics and Physics Course .................................................................................... 58
Systems Science Course ............................................................................................................... 59
Communications and Computer Engineering Course ................................................................... 60
Data Science Course ..................................................................................................................... 62
Design courses .............................................................................................................................. 63
Platform Studies............................................................................................................................ 64

Students who enrolled in or before October 2022, please refer to the Course page which has the same name as
your current department.

Explanatory notes
1.

Faculty member (s) and class schedules are subject to change during this academic year.

2.

Seminars in English are given as required.

3.

When necessary, the supervising professor may approve the seminar subject offered in the second
semester (subject title ending with B) to be considered as the subject from the first semester (title
ending with A), or conversely, the first semester subject (title ending with A) to be considered as thesecond semester subject (title ending with B).

4.

For the subjects of the Advanced Mathematical Sciences Course, refer to the Japanese “Guide to
Graduate Degree Programs (学修要覧)”.

Conditions to complete the degree- Doctoral Thesis: Mandatory- To earn at least 6 credits* from the subjects of the Doctoral Program specified by the school; to receive
the appropriate instructions through the classes; and to pass the examinations and the assessment of a
Doctoral thesis.
* 4 credits of Seminars provided by the Course are mandatory.

- 52 －52－

Intelligence Science and Technology Course
Subject title

Instructors

Seminar on Intelligence
Science and Technology,
Advanced

Kamitani, Kumada, Nishida, Yamamoto (Akihiro),
Kashima (Hisashi), Taniguchi, Kurohashi,
Kawahara (Tatsuya), Nishino, Akutsu, Mori
(Shinsuke), Nakamura

Seminar on Brain andCognitive Sciences,
Advanced A

Kamitani, Kumada, Nishida, Nakashima

Seminar on Brain andCognitive Sciences,
Advanced B

Kamitani, Kumada, Nishida, Nakashima

Seminar on Cognitive
System, Advanced A

Kashima (Hisashi), Yamamoto (Akihiro),
Taniguchi, Takeuchi

Seminar on Cognitive
System, Advanced B

Kashima (Hisashi), Yamamoto (Akihiro),
Taniguchi, Takeuchi

Seminar on Intelligence
Media, Advanced A

Kurohashi, Kawahara (Tatsuya), Nishino, Sakurada

Seminar on Intelligence
Media, Advanced B

Kurohashi, Kawahara (Tatsuya), Nishino, Sakurada

Seminar on Application ofMultimedia, Advanced A

Mori (Shinsuke), Nakamura, Kondo

Seminar on Application ofMultimedia, Advanced B

Mori (Shinsuke), Nakamura, Kondo

Seminar on Bio-system
Informatics, Advanced A

Akutsu, Tamura

Seminar on Bio-system
Informatics, Advanced B

Akutsu, Tamura

hours/week
1stsemester

2ndsemester(2)

Credits

Remarks2

Mandatory,
Intensive

2

(2)
(2)

2
2

(2)
(2)

2
2

(2)
(2)

2
2

(2)
(2)

2
2

(2)

2

Seminar on Intelligence Science and Technology, Advanced
In this seminar we review and discuss, from broad perspectives, the latest topics in the field of information
processing mechanisms in human and animal organic systems and the field of artificial mechanisms inadvanced intelligent information processing.

Seminar on Brain and Cognitive Sciences, Advanced A, B
This seminar provides a broad overview of biological and cognitive processing. It will discuss a number of
selected issues and different views with regard to the topic.

Seminar on Cognitive System, Advanced A, B
In this seminar, students learn about state-of-the-art research topics in the field of cognitive systems.

Seminar on Intelligence Media, Advanced A, B
This seminar explains the modelling and controlling methods of the intelligence media systems in thevarious aspects.

- 53 －53－

Seminar on Application of Multimedia, Advanced A, B
In this seminar, students examine the multimedia technologies used for intelligent systems, which integrate
the functions of recognizing, understanding, generating and authoring multimedia data, such as images,
videos and speech. Students also review the methodologies used for flexible human-machine interfaces andcommunication systems that use the above technologies.

Seminar on Bio-system Informatics, Advanced A, B
Through this seminar, students learn about the latest worldwide research activities concerning various topics
in the field of bioinformatics.

★ For students who enrolled in or before October 2022
The requirements for completion of the doctoral program are those specified at the time of your enrollment.
The students who enrolled in the Department of Intelligence Science and Technology (in or before October2022) must take the subjects in the table below. The subjects in the table above can be taken only by thestudents who enrolled in the Intelligence Science and Technology Course (in or after 2023).
Subject title

Instructors

hours/week
1stsemester

2ndsemester

Credits

Remarks

Seminar on Intelligence Scienceand Technology, Advanced

Kamitani, Kumada, Nishida,
Yamamoto (Akihiro), Kashima(Hisashi), Kurohashi, Kawahara(Tatsuya), Nishino, Akutsu, Okabe,Mori (Shinsuke), Nakamura

(2)

(2)

4

Through theacademic
year

Seminar on Brain and Cognitive
Sciences, Advanced

Kamitani, Kumada, Nishida,
Nakashima(2)

Seminar on Brain and Cognitive
Sciences, Advanced

Kamitani, Kumada, Nishida,
Nakashima

Seminar on Cognitive System,
AdvancedKashima (Hisashi), Yamamoto(Akihiro)

Seminar on Cognitive System,
AdvancedKashima (Hisashi), Yamamoto(Akihiro)

Seminar on Intelligence Media,
Advanced

Kurohashi, Kawahara (Tatsuya),
Nishino, Yoshii, Nobuhara

Seminar on Intelligence Media,
Advanced

Kurohashi, Kawahara (Tatsuya),
Nishino, Yoshii, Nobuhara

Seminar on Application ofMultimedia, Advanced

Okabe, Mori (Shinsuke), Nakamura,
Kondo

Seminar on Application ofMultimedia, Advanced

Okabe, Mori (Shinsuke), Nakamura,
Kondo

Seminar on Bio-system
Informatics, Advanced

Akutsu, Tamura

Seminar on Bio-system
Informatics, Advanced

Akutsu, Tamura

2
(2)

(2)

2
(2)

(2)

2
2

(2)

(2)

2
2

(2)

(2)

2
2

(2)

- 54 －54－22

Same content
in the firstand second
semesterSame content
in the firstand second
semesterSame content
in the firstand second
semesterSame content
in the firstand second
semesterSame content
in the firstand second
semesterSocial Informatics Course
Subject title

Instructors

Seminar on Social Informatics, Advanced

Kanda, Ito, Ohte, Doi,Tajima, Tatano, Kuroda,
Yamori, Hatayama, Ogata,
Shudo

Seminar on Social Information Model,
Advanced A

Kanda, Tajima, Yamashita(Naomi)Seminar on Social Information Model,
Advanced B

Kanda, Tajima, Yamashita(Naomi)Seminar on Social Information Network,
Advanced A

Abe, Kanda, Ito

Seminar on Social Information Network,
Advanced B

Abe, Kanda, Ito

Seminar on Biosphere Informatics,
Advanced A

Ohte, Koyama, Doi

Seminar on Biosphere Informatics,
Advanced B

Ohte, Koyama, Doi

Seminar on Regional Disaster Prevention
Information Systems, Advanced A

Tatano, Yamori, Hatayama

Seminar on Regional Disaster Prevention
Information Systems, Advanced B

Tatano, Yamori, Hatayama

Seminar on Medical Informatics, Advanced
A

KurodaSeminar on Medical Informatics, Advanced
B

KurodaSeminar on Social informatics Analytics
Infrastructure, Advanced A

Ogata, Shudo

Seminar on Social informatics Analytics
Infrastructure, Advanced B

Ogata, Shudo

hours / week
1stsemester

2ndsemester(2)

Credits

Remarks2

Mandatory
Intensive

2
(2)

(2)

2
2

(2)
(2)

2
2

(2)

(2)

2

2

(2)

(2)

2

2

(2)

(2)

2

2

(2)

2

Seminar on Social Informatics, Advanced
In this seminar, we focus on advanced topics concerning technologies used for gathering and analyzing
information, which is necessary for modeling social information systems and their problems from the viewpointof informatics. In addition, we discuss those topics from multi-disciplinary viewpoints.

Seminar on Social Information Model, Advanced A, B
In this seminar, students will learn several social information systems, such as e-governments, e-commerce,
digital libraries, and e-learning systems, as well as the fundamental technologies used to construct those social
information systems, such as digital document processing, Web information searching, data mining, contents- 55 －55－

archiving, digital rights processing, and database management, human interface and social computing.

Seminar on Social Information Network, Advanced A, B
In this seminar, we will discuss the most advanced topics related to basic theories in interdisciplinary areas(including computer science and social science) such as computational organization theory and computational
economics. We will also examine the most advanced topics regarding application systems in social information
networks.

Seminar on Biosphere Informatics, Advanced A, B
In this seminar, we will discuss the topic of bio-resources, which includes the global environment and food. We
will also discuss methods of analysis for assessing valuable information about the environment and bio-resourcesin the biosphere using integrated approaches.

Seminar on Regional Disaster Prevention Information Systems, Advanced A, B
Taking into account human behavior and organizational features, this seminar focuses on advanced topics indisaster-prevention information systems to enhance the effective management of disaster risk and response.

Seminar on Medical Informatics, Advanced A, B
After discussing the current situation surrounding the medical information field, students will complete an
exercise on medical information. The aim of the subject is to understand the field of medical informatics
systematically and to obtain an ability to discuss matters in the field of medical informatics.

Seminar on Information Education, Advanced A, B
Information education is a field connecting computer science, information technology, information society,educational methodologies, and the use of information and communication technologies in education. From avariety of points of view, this seminar studies both theoretical and practical topics in the area of information
education. Furthermore, the cutting-edge topics related to the of large-scale data processing, Internet anddistributed systems will be discussed.

Seminar on Social informatics Analytics Infrastructure, Advanced A, B
Information education is a field connecting computer science, information technology, information society,educational methodologies, and the use of information and communication technologies in education. From avariety of points of view, this seminar studies both theoretical and practical topics in the area of information
education. Furthermore, the cutting-edge topics related to the of large-scale data processing, Internet anddistributed systems will be discussed.

- 56 －56－

★ For students who enrolled in or before October 2022 ★
The requirements for completion of the doctoral program are those specified at the time of your enrollment.
Those who have not taken the subjects provided by the Department of Social Informatics must take the newly
introduced subject accordingly.
However, as shown in the table below, the subject titles have been changed and divided, therefore students who
have not yet taken the old subjects must take the newly introduced ones.
For those subjects that have been divided, students must take two new subjects, A and B.
Note that for the students who have already taken the subjects, the newly introduced subjects’ credits will not becounted as the required credits for completion of the Doctoral program.

Table of dividing/changing of subject’s nameAcademic year of 2021 or earlier
Old subject name
Seminar on
Information
Education, Advanced

Term

Credits

Though theacademic
year

Academic year of2022

Academic year of 2023 and later

Old subject name

New Subject nameTerm

Credits

Seminar on Information
Education, Advanced A

Seminar on Social
informatics analytics
infrastructure, Advanced AFirstsemester2

Seminar on Information
Education, Advanced B

Seminar on Social
informatics analytics
infrastructure, Advanced B

Secondsemester2

4

Table of dividing subjects nameAcademic year of 2021 and earlier
Old subject name
Seminar on Social
Information Model,
Advanced
Seminar on Regional
Disaster Prevention
Information Systems,
Advanced

Term

Though theacademic year

Though theacademic year

Academic year of 2022 and after
Credits

4

4

New Subject name
Seminar on Social Information
Model, Advanced A
Seminar on Social Information
Model, Advanced B
Seminar on Regional Disaster
Prevention Information Systems, A
Seminar on Regional Disaster
Prevention Information Systems, B- 57 －57－

Term

Credits

First semester

2

Secondsemester

2

First semester

2

Second2

semesterApplied Mathematics and Physics Course
Subject title

Instructors

hours / week
1stsemester

2ndsemester

Credits

Seminar on Applied Mathematics
and Physics, Advanced A

Yamashita (Nobuo), Umeno,
Yagasaki, Nonaka

Seminar on Applied Mathematics
and Physics, Advanced B

Yamashita (Nobuo), Umeno,
Yagasaki, Nonaka(2)

2Seminar on Applied Mathematics,
AdvancedTsujimoto (Satoshi), Haraguchi(2)

2

Seminar on Applied Mathematical
Systems, Advanced

Nonaka, Yamashita, Kashima(Kenji), Takahashi, Fukuda(2)

2

Seminar on Mathematical Physics,
Advanced

Umeno, Yagasaki, Shibayama(2)

Remarks2(2)

2

Seminar on Applied Mathematics and Physics, Advanced A, B
This subject discusses some of the current topics in the mathematical sciences from a broad perspective
across various specialties with wide experience including internships at industrial laboratories and overseas
research institutes.

Seminar on Applied Mathematics, Advanced
This seminar selects and surveys some of the current topics in applied mathematics.

Seminar on Applied Mathematical Systems, Advanced
In this seminar, students study and discuss state-of-the-art research and related literature on various subjects
in applied mathematical systems.

Seminar on Mathematical Physics, Advanced
This seminar discusses some of the current topics in mathematical physics.

★ For students who enrolled in or before October 2022 ★
The requirements to complete the Master’s program are those specified at the time of enrollment.
Those who have not taken the subjects provided by the Department of Applied Mathematics and Physics musttake the relevant ones by the Applied Mathematics and Physics Course.

- 58 －58－

Systems Science Course
Subject title

hours / week

Instructors

1stsemesterSeminar on Systems
Science, Advanced

Azuma, Kano, Ohtsuka, Tanaka,
Shimodaira, Morimoto, Ishii

Seminar on Human Machine
Symbiosis, Advanced A

Azuma, Kano, Ohtsuka, Nishihara

Seminar on Human Machine
Symbiosis, Advanced B

Azuma, Kano, Ohtsuka, Nishihara

Seminar on Systems
Synthesis, Advanced A

Tanaka, Shimodaira, Obuchi, Honda

Seminar on Systems
Synthesis, Advanced B

Tanaka, Shimodaira, Obuchi, Honda

Seminar on Systems
Informatics, Advanced A

Morimoto, Ishii, Shimazaki,
Amemori

Seminar on Systems
Informatics, Advanced B

Morimoto, Ishii, Shimazaki,
Amemori

2ndsemester

Numberof credits

Remarks

2
(2)

2
(2)

(2)

2
2

(2)
(2)

2
2

(2)

2

Seminar on Systems Science, Advanced
We will discuss advanced topics in all areas of systems science, with a wide range of view, free from area ofexpertise.

Seminar on Human Machine Symbiosis, Advanced A, B
We will study research on the most advanced topics in human machine symbiosis in Japan and all over theworld.

Seminar on Systems Synthesis, Advanced A, B
We will study research on the most advanced topics in systems synthesis in Japan and all over the world.

Seminar on Systems Informatics, Advanced A, B
We will study research on the most advanced topics in systems informatics in Japan and all over the world.

★ For Students who enrolled in or before October 2022 ★
Requirements for completion of the doctoral program are those specified at the time of enrollment.
Students who have not yet taken the subjects provided by the Department of Systems Science must take therelevant subjects provided by the Systems Science Course. “Seminar on Applied Informatics, Advanced A, B”
is a part of Subjects provided by the Course.

- 59 －59－

Communications and Computer Engineering Course
Subject title

Instructors

Seminar on Communications andComputer Engineering, Advanced A

Minato, Igarashi, Harada (Hiroshi), Oki,
Sato (Takashi), Niitsu, Hashimoto,
Yamamoto (Mamoru), Hashiguchi,
Iwashita, Okabe

Seminar on Communications andComputer Engineering, Advanced B

Minato, Igarashi, Harada (Hiroshi), Oki,
Sato (Takashi), Niitsu, Hashimoto,
Yamamoto (Mamoru), Hashiguchi,
Iwashita, Okabe

Seminar on Computer Engineering,
Advanced A

Minato, Igarashi, Kawahara (Jun),
Jansson, Suenaga

Seminar on Computer Engineering,
Advanced B

Minato, Igarashi, Kawahara (Jun),
Jansson, Suenaga

Seminar on Communication
Systems Engineering, Advanced A

Harada (Hiroshi), Oki, Sato
(Takehiro), Mizutani

Seminar on Communication
Systems Engineering, Advanced B

Harada (Hiroshi), Oki, Sato
(Takehiro), Mizutani

Seminar on Integrated Systems
Engineering, Advanced A

Sato (Takashi), Niitsu, Hashimoto,
Awano

Seminar on Integrated Systems
Engineering, Advanced B

Sato (Takashi), Niitsu, Hashimoto,
Awano

Seminar on Radio Atmospheric
Science, Advanced A

Yamamoto (Mamoru), Hashiguchi,
Yokoyama, Nishimura

Seminar on Radio Atmospheric
Science, Advanced B

Yamamoto (Mamoru), Hashiguchi,
Yokoyama, Nishimura

Seminar on Information andCommunication Infrastructure,
Advanced, A

Iwashita, Okabe, Fukazawa

Seminar on Information andCommunication Infrastructure,
Advanced, B

Iwashita, Okabe Fukazawa

hours/week
1stsemester

2ndsemester(1)

Credits

Remarks

1

(1)

(2)

1

2
(2)

(2)

2
2

(2)
(2)

2
2

(2)
(2)

2
2

(2)
(2)

2
2

(2)

2

Seminar on Communications and Computer Engineering, Advanced A, B
From a broad perspective independent of the area of expertise, this seminar will introduce and discuss thelatest topics in computer hardware/software as well as information and communication technology, whichconstitute the infrastructure of an information society.

Seminar on Computer Engineering, Advanced A, B
This seminar will introduce hot topics in computer engineering, including computer architecture thatenables high-performance computation, the algorithms, and basic software systems such as programming
language systems.

Seminar on Communication Systems Engineering, Advanced A, B
This seminar includes intensive discussion on the current status, issues, and future directions regarding
telecommunication systems engineering such as highly reliable information transmission over severe- 60 －60－

wireless channels and architectures of various wired/wireless information networks.

Seminar on Integrated Systems Engineering, Advanced A, B
This seminar includes intensive discussion on the current status, issues, and future directions regarding
integrated systems engineering such as design methodologies for digital and analog LSIs, advanced signal
processing, etc.

Seminar on Radio Atmospheric Sciences, Advanced A, B
A variety of remote-sensing technologies based on radio waves and light are used for the study of the
Earth’s atmosphere. This seminar will introduce recent results from a wide area of radio atmosphericscience --- i.e., advanced observation technology, recent signal processing technique, and scientificachievements from advanced observations.

Seminar on Information and Communication Infrastructure, Advanced A, B
This seminar includes intensive discussion from the theoretical and implemental point of view on the latest
researches of the high-performance computation with the supercomputer and the technology of the Internet.

★ For Students who enrolled in or before October 2022 ★
Requirements for completion of the doctoral program are those specified at the time of enrollment.
Students who have not yet taken the subjects provided by the Department of Communications and Computer
Engineering must take the relevant subjects provided by the Communications and Computer Engineering Course.

- 61 －61－

Data Science Course

Subject title

Instructors

Seminar on Data Science,
Advanced

Shimodaira, Hara, Tanaka(Toshiyuki), Hayashi, Yamamoto(Akihiro), Kashima (Hisashi),TamuraSeminar on Statistical Modeling,
Advanced A

Shimodaira, Hara, Honda

Seminar on Statistical Modeling,
Advanced B

Shimodaira, Hara, Honda

Seminar on Machine Learning,
Advanced A

Tanaka (Toshiyuki), Hayashi,
ObuchiSeminar on Machine Learning,
Advanced B

Tanaka (Toshiyuki), Hayashi,
ObuchiSeminar on Applied Data
Science, Advanced A

Yamamoto (Akihiro), Kashima(Hisashi), Tamura, Takeuchi

Seminar on Applied Data
Science, Advanced B

Yamamoto (Akihiro), Kashima(Hisashi), Tamura, Takeuchi

Hours/week
1stsemester

2ndsemester(2)

Number ofcredits

Remarks

2

Intensive

2
(2)

(2)

2
2

(2)
(2)

2
2

(2)

2

Seminar on Data Science, Advanced
This seminar selects current topics from various fields in data science, and review and discuss them frominterdisciplinary viewpoints.

Seminar on Statistical Modeling, Advanced A, B
In this seminar, students study and discuss state-of-the art research subjects on statistical modeling and deepen
their knowledge on them.

Seminar on Machine Learning, Advanced A, B
In this seminar, students study and discuss state-of-the art research subjects on machine learning and deepen
their knowledge on them.

Seminar on Applied Data Science, Advanced A, B
In this seminar, students study and discuss state-of-the art research subjects on applied data science anddeepen their knowledge on them.

- 62 －62－

Design courses(Enroll after passing the Qualifying Examination (QE).)
For the students of the School, credits not counted towards completing the doctoral degree.
Subject title

Instructors

Open Innovation Practice 1

Faculty members of
the Design course

hours / week
1stsemester

2ndsemester

Credits

2

Open Innovation Practice 2

Faculty members of
the Design course

2

Field Internship

Faculty members of
the Design course

2

Research Internship

Faculty members of
the Design course

2

Remarks
General Design Courses(Intensive subject through theacademic year)
General Design Courses(Intensive subject through theacademic year)
Prerequisite is Open Innovation
Practice 1
General Design Courses(Intensive subject through theacademic year)
General Design Courses(Intensive subject through theacademic year)

Open innovation practice 1
Design activities to discover and solve real social issues by consulting related specialists or stakeholders toassemble a team for open innovation, and offering a series of workshops to achieve the objectives. The roleof the students in this subject is not to participate as a specialist to solve or discover issues, but to assemble
and manage a team for the purpose of the aforementioned open innovation. Through this activity, students’communication and management skills are developed and students gain the knowledge about the basics ofdesign theories and methods to successfully lead design activities through practical experience.

Open innovation practice 2
Design activities to discover and solve real social issues by consulting related specialists or stakeholders toassemble a team for open innovation, and offering a series of workshops to achieve the objectives. Students
in this subject develop their knowledge of design theories and methods learned in Open Innovation Practice
1 to further improve their communication and management skills, and acquire a deeper understanding ofdesign theories and methods to successfully lead design activities through practical experience.

Field internshipStudents in this program form a group to tackle international/social challenges encompassing several fieldsof specialties, and apply their knowledge in the field inside or outside Japan to foster their leadershipabilities through group activities. In this internship program, students are required to create a strategic
solution in the field, where the situation can truly be understood for the first time. Students will do this by
structuring the information obtained, defining solvable issues, and interacting seamlessly with stakeholders
on the scene and members from different fields within a limited timeframe.

Research internshipThe research internship aims to cultivate students’ leadership skills while staying at an overseas/domestic
research laboratory. Students will form and lead a team in a new research field by conducting
multidisciplinary research from the design perspective through planning and executing a research project incollaboration with local researchers. A research plan must be submitted and assessed by program professors
before the internship begins.
- 63 －63－

Platform Studies
For the students of the School, credits not counted towards completing the doctoral degree.
Subject title

hours / week

Instructors

Seminar in Platform studies,
Advanced, I

Faculty members ofDoctoral Program of
Platform

Seminar in Platform studies,
Advanced II

Faculty members ofDoctoral Program of
Platform

1stsemester

Remarks

2nd
semester

Credits

2

2

Platform studies

2

Platform studies

2

Seminar in Platform studies I
This seminar discusses topics associated with “platforms” using information and communication
technology (ICT), through case studies of platform development strategies and business models using
platforms. Additionally, methods for how to access information, information formats, and methods forusing information that are necessary in real-world applications such as in agriculture, health care, anddisaster prevention, will be discussed in a seminar format. This seminar will be given by faculty membersof the Doctoral Program of Platforms.

Seminar in Platform studies II
This seminar discusses topics associated with “platforms” using information and communication
technology (ICT), through seminars on the fundamental knowledge necessary for social and international
development of platforms. This seminar will be given by faculty members of the Doctoral Program of
Platforms.

Other subject provided by the School (Doctoral Program)
For the students of the School, credits not counted towards completing the doctoral program.
Subject title
Long-term Internship in the Field ofInformatics

Instructors

hours / week
1stsemesterDean

2ndsemester

Credits(2)- 64 －64－

Remarks
Practice (more than 120
hours for credit approval)