広く産学官にわたってグローバルに活躍するために必要な「俯瞰力」を養成することを目指す。物質科学の各分野について最先端の知識を修得し、自分の専門分野と周辺分野がどのように関連するか、あるいはし得るか、について深く考察するために、第一線で活躍する講師の方々にその分野の最前線を概観していただく。さらに、それらの講義を通して異分野間のコミュニケーションを円滑に進めるための具体的方法論を学ぶ。 This survey course is designed to enable students to develop the broad perspective that is required of global leaders working in and across industry, academia, and government. Students will gain knowledge and insight on advancements in each field of materials science research, given by leading researchers working on the frontline in those fields. This will allow students to consider how peripheral fields are related to their own area of expertise, and to consider the potential for forging bridges between related fields in the future. In addition, students will learn specific methodologies designed to facilitate smooth communication among different disciplines.

In production and consumption of materials, structural materials are dominant. Technological development in materials industry affects significant positive impacts in broad end uses. A newly developed high-performance materials fulfill higher design requirement, which makes more advanced product design possible. The first half of this class introduces production process of major materials and life cycle perspective on materials, especially structural materials. We discuss interactions amongst materials, finished products, economy, and environment in order to understand roles of materials in industrial metabolism. Global material flows and resource strategy are also introduced to give you a global vision on resources and materials. The latter half of this class introduces high-temperature materials for jet engine or gas turbine in the power plant. The processing and the necessary properties of high-temperature materials will be introduced to understand how they are designed.

Statistics and biometrics have emerged as crucial disciplines not only in agricultural sciences but also in various other fields. This significance is primarily attributed to three factors: Firstly, advancements in data measurement techniques have facilitated the collection of extensive and diverse biological and agronomic data that were previously unattainable. Secondly, the evolution of data science methodologies has enabled the integration and modeling of such collected data. Thirdly, the enhancement of computational capabilities has empowered the utilization of these methodologies. These advancements have rendered statistical and biometric methods indispensable for extracting insights from the vast and varied biological and agronomic datasets. Throughout this lecture series, a diverse array of biological and agronomic datasets will serve as illustrative examples to demonstrate various analytical methods. Delivered in a hands-on format, utilizing R, Python, and Matlab, the aim is to equip students with practical analysis skills. The initial portion of the course, spanning the first one-third, will focus primarily on techniques for summarizing, visualizing, and modeling relationships within multivariate datasets. In the subsequent one-third, students will delve into linear models, linear mixed models, local regression, and nonlinear models. Finally, in the last segment, students will explore image analysis, machine learning, and deep learning methods. While the course will cover a broad spectrum of methods, ranging from introductory to advanced levels, the emphasis will be on developing the capability to independently conduct analyses rather than on elaborating on the theoretical underpinnings of the methods.

The course will take an intersectional approach to why we commonly find an underrepresentation of women in the Science, Technology, Engineering and Mathematics (STEM) fields. The course will begin by addressing our own unconscious biases and stereotypes, and question the research behind male and female differences. We will cover the brief history of the underrepresentation of minorities and explore research articles on why and how women and other minorities have been excluded from STEM fields. Students will be expected to read scientific articles, discuss them, and apply those concepts to examine their own social environments.

The course will take an intersectional approach to why we commonly find an underrepresentation of women in the Science, Technology, Engineering and Mathematics (STEM) fields. The course will begin by addressing our own unconscious biases and stereotypes, and question the research behind male and female differences. We will cover the brief history of the underrepresentation of minorities and explore research articles on why and how women and other minorities have been excluded from STEM fields. Students will be expected to read scientific articles, discuss them, and apply those concepts to examine their own social environments.

This course aims to cultivate internationally competitive young researchers equipped with literacy and competency to become future leaders in industry and academia. The course deals with multidisciplinary application skills and the in-depth research in specialized fields so that students accomplish the ability to work in a broader spectrum and apply one’s skills to a multidisciplinary setting. The topics of the course include medical and biomedical robotics, medical high-tech industries, disease prevention, health care system, science technology and industrial policy, energy technology, and health security and community resilience.

"The Art of Attention" explores attention as a social, cultural, and personal phenomenon, with a special focus on the concept of Radical Human Attention. Drawing on philosophical, psychological, and sociocultural perspectives, the course examines various attentional practices and their applications in everyday life, art, and social change. 「注意の技法」は、注意を社会的、文化的、個人的な現象として探求し、特にラディカル・ヒューマン・アテンションの概念に焦点を当てます。哲学的、心理学的、社会文化的な観点を取り入れ、日常生活、芸術、社会変革におけるさまざまな注意の実践とその応用を検討します。」

"The Art of Attention" explores attention as a social, cultural, and personal phenomenon, with a special focus on the concept of Radical Human Attention. Drawing on philosophical, psychological, and sociocultural perspectives, the course examines various attentional practices and their applications in everyday life, art, and social change. 「注意の技法」は、注意を社会的、文化的、個人的な現象として探求し、特にラディカル・ヒューマン・アテンションの概念に焦点を当てます。哲学的、心理学的、社会文化的な観点を取り入れ、日常生活、芸術、社会変革におけるさまざまな注意の実践とその応用を検討します。」

地球惑星内部の高温高圧極限条件下における物質の構造・物性・相転移など、高圧鉱物物理学の必修項目を熱統計力学や量子化学の基礎的内容をもとに解説する。計算機シミュレーションを用いてこれらの性質を非経験的に、すなわち第一原理から予測する手法についても概説する。また、これらの地球惑星内部物質の性質から、地球や惑星の内部構造やダイナミクス、さらにはその形成と進化を如何に理解するか、その最先端を解説する。 The essence of high-pressure mineral physics, such as the structure and properties of the Earth and planetary materials under extremely high pressure and temperature conditions, is explained with the basics of thermodynamics, quantum chemistry, and statistical physics. By comparing mineral-physics data with geophysical observations, it will be clarified that the structure, dynamics, and evolution of the Earth and planetary interiors are controlled by the properties of their constituent materials.

地球惑星内部の高温高圧極限条件下における物質の構造・物性・相転移など、高圧鉱物物理学の必修項目を熱統計力学や量子化学の基礎的内容をもとに解説する。計算機シミュレーションを用いてこれらの性質を非経験的に、すなわち第一原理から予測する手法についても概説する。また、これらの地球惑星内部物質の性質から、地球や惑星の内部構造やダイナミクス、さらにはその形成と進化を如何に理解するか、その最先端を解説する。 The essence of high-pressure mineral physics, such as the structure and properties of the Earth and planetary materials under extremely high pressure and temperature conditions, is explained with the basics of thermodynamics, quantum chemistry, and statistical physics. By comparing mineral-physics data with geophysical observations, it will be clarified that the structure, dynamics, and evolution of the Earth and planetary interiors are controlled by the properties of their constituent materials.