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.

地球外物質に注目し，太陽系の起源と進化に関する物質科学の基礎と最先端を理解する． Lectures on the origin and early evolution of the Solar System through analysis of pristine extraterrestrial materials, laboratory experiments, and Solar System exploration and on basic physical chemistry and material science.

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.

隕石や惑星物質など物質科学の観点から、太陽系や惑星・衛星の形成進化の物理化学プロセスを理解する。物理化学プロセスには、恒星内元素合成、化学平衡、反応速度論、同位体反応と同位体異常、放射性核種と年代学を含む。

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.

本講義では，宇宙の起源，物質の起源，生命の進化，情報と人工知能などの現代科学のフロンティアを，最前線の若手研究者が数理科学という切り口で俯瞰する．授業担当教員がモデレータとなり，理化学研究所の若手研究者をゲストに招き，以下の話題を議論する．ゲスト氏名と話題は，瀧雅人「深層学習のフロンティア：学習するコンピュータが世界を変える」，辰馬未沙子「惑星形成の物理」，間瀬崇史「差分方程式入門 ～現象記述と数理構造の観点から～」，野海俊文「宇宙論入門」，成瀬元「地形・地層の形成メカニズムへのデータ駆動科学的アプローチ」，吉田恒也「凝縮系のトポロジー」，山本暁久「生命現象の数理と物理」である．

This course aims to raise awareness on the critical role of space technology in our daily lives and the important implications it has on domestic policymaking and international relations. The first part of the course, titled “Space and Society”, provides an overview of major space technologies and their applications. It then demonstrates how space assets have become a critical infrastructure on which advanced societies are over-reliant, and the hazards and threats that they are facing. The second part of course delves into political science and international relations. It addresses the various approaches to space policymaking, the structure of international relations in outer space and the major challenges ahead for the space sector. This course will be a part of the global effort to map threats and consequences for space sustainability conducted by the United Nations Institute of Disarmament Research.

前半：核酸、アミノ酸、タンパク質に焦点を当て、それらの構造と機能に関する基礎的な概念を学ぶとともに、それらを観察・操作する実験手法の原理について理解を深める。その後、生体物質がどのように作用することで、複雑かつ多様な細胞の機能が発現するのかについて、神経細胞をモデルとして学ぶ。（竹内） 後半：前半の講義をもとに、生体物質によって担われる複雑かつ多様な生命現象として免疫システムを取り上げ、生体物質の同化異化反応が支える個別の細胞機能が、システムとして生体防御あるいは疾患病態を担うしくみを学ぶ。物質レベルから個体レベルへ、幅広い階層を俯瞰することで興味の幅を広げるとともに、最先端の免疫学研究についても学ぶ機会とする。（反町）

This course will focus on the dynamics of museum collections in contemporary society. Particular attention will be paid to the meaning and politics of provenance--where the items on display come from and the socio-political-economic background behind that origin. The instructor's specialty is US cultural studies but the class will spend a considerable amount of time talking about museums in Japan. The class combines readings with exploring visits to actual sites.