生物の体内や細胞内に微生物が取り込まれて一体化し、あたかも不可分の１つの生物であるかのような複合系を構築する「内部共生」という現象について、その多様性、相互作用の本質、生物学的意義、進化過程など、基本的な概念から最新の専門的知見にいたるまでをわかりやすく解説し、その面白さおよび重要性について認識を深める。

Students study through this course i) how economic policies have evolved since the demise of the Bretton Woods system in the 1970s, ii) what were impacts of Asian financial crisis in the late 1990s and the global financial crisis in 2008/09, iii) how Asian countries have achieved high growth and poverty reduction, and iv) what are new and emerging challenges for Asia and the World. Lecture is both theoretical and empirical, and based on the lecturer’s experiences. He is Chairman, Center for International Economy & Strategy. He was President of Asian Development Bank (ADB) (2013-2020), Vice-minister of Finance for International Affairs dealing with G7, G20, and IMF issues (2011-2013). He was engaged in many policy issues regarding tax, budget, and financial sector policy since he joined the Ministry of Finance in 1978. He was also an advisor in IMF’s Policy Development and Review Department (1994-97) and Minister at the Embassy of Japan in Washington DC (2005-2007).

Students study through this course i) how economic policies have evolved since the demise of the Bretton Woods system in the 1970s, ii) what were impacts of Asian financial crisis in the late 1990s and the global financial crisis in 2008/09, iii) how Asian countries have achieved high growth and poverty reduction, and iv) what are new and emerging challenges for Asia and the World. Lecture is both theoretical and empirical, and based on the lecturer’s experiences. He is Chairman, Center for International Economy & Strategy. He was President of Asian Development Bank (ADB) (2013-2020), Vice-minister of Finance for International Affairs dealing with G7, G20, and IMF issues (2011-2013). He was engaged in many policy issues regarding tax, budget, and financial sector policy since he joined the Ministry of Finance in 1978. He was also an advisor in IMF’s Policy Development and Review Department (1994-97) and Minister at the Embassy of Japan in Washington DC (2005-2007).

本実験では，生態学，進化学，地球システム科学に関する基礎的な実験遂行能力および，実験データを用いた考察能力の獲得を目標とし，生命・環境に関する実験を行う．分野横断的なテーマについて自ら手を動かしてデータを出し，考察し，レポートにまとめる一連の過程を身につける．

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.

古生物学の理論や研究法の基礎を学習し、生命進化のパターンやメカニズムを理解する。特に古生物学の生物学的側面を中心に据えて、様々な階層のテーマについて、最近の成果を交えて解説する。単なる知識の修得ではなく、進化的な概念、理論の修得に力点を置く。 This course will provide a comprehensive introduction to theories and methods in paleontology. Students will be introduced to patterns and mechanisms of biological evolution. Topics covered will include a wide range of the biologial aspect of paleontology, with latest findings. The focus will extend beyond mere knowledge, and be put on concepts and theories in evolutionary biology.

古生物学の理論や研究法の基礎を学習し、生命進化のパターンやメカニズムを理解する。特に古生物学の生物学的側面を中心に据えて、様々な階層のテーマについて、最近の成果を交えて解説する。単なる知識の修得ではなく、進化的な概念、理論の修得に力点を置く。 This course will provide a comprehensive introduction to theories and methods in paleontology. Students will be introduced to patterns and mechanisms of biological evolution. Topics covered will include a wide range of the biologial aspect of paleontology, with latest findings. The focus will extend beyond mere knowledge, and be put on concepts and theories in evolutionary biology.

地球化学，分子生物学などを含む生命地球科学の理論と方法について習得する．また，その応用として，太古代，原生代，原生代／顕生代境界（pC/C）および顕生代の現象に関する理解を深める． To gain knowledge of theories and methodologies of biogeosciences, including and with special emphasis on geochemical and molecular biological aspects.

ゲノム研究の進展により生命科学は仮説駆動型からデータ駆動型の科学に変貌しつつある。このような科学を推進するには、多種多様で複雑なデータや知識を計算機でうまく扱えるようにすることが不可欠である。本講義では、その基礎となる理論や技術について解説する。 With the advancement of genome research, life science is transforming from a hypothesis-driven to a data-driven science. To promote such science, it is essential for computers to be able to successfully handle a wide variety of complex data and knowledge. In this lecture, the underlying theories and techniques will be explained.

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.