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).

ヒトが現在の姿に至った進化の道程を知り，進化の産物であるがゆえに有する特徴を理解する．主として生物既修生を対象として、講義を行う． ／ Human Biology gives lectures on human evolution, several biological and cultural perspectives on humans.

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.

森林は樹木と草本植物、動物、微生物が複雑なネットワークを作って共存する生態系である。森林は一見すると永遠に同じ状態でそこに存在し続けているように見えるが、実際には個々の樹木が枯死と再生を繰り返し（更新）、群落の構造や種組成自体も変化している（遷移）。森林生態系の骨格ともいうべき樹木の種組成は、地域レベルでは地史や気候によって規定された植物相（flora）によって決まるが、実際の森林群落の組成と構造は、地形、地質や撹乱の歴史を反映している。森林群落では、それぞれの樹種が、進化の過程で獲得してきた生理生態的特性に応じてすみ分けており、樹種ごとの生理生態的特性を知ることは、森林群落成立のメカニズムや森林生態系の機能の理解のために必須である。一方、樹木は周囲の動植物や微生物との相互作用の中で生きており、なかでも従来あまり重視されてこなかった菌類の役割の重要性が明らかになってきている。森林植物学は、森林生態系の成立・維持のメカニズムの基礎を学ぶことにより「森林を見る目」を身につけることとともに、関連する科目である樹木学、森林生態学、造林学、樹木医学などへの導入となることを目標としている。

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.