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.

宇宙から飛来する宇宙線、ガンマ線、ニュートリノなどを観測し、宇宙における高エネルギー天体現象や、暗黒物質などの素粒子物理を研究する分野を宇宙素粒子物理学（Astroparticle Physics）と呼ぶ。この分野の歴史的な成果として、CP対称性を破るK中間子などの新粒子の発見、最高エネルギー宇宙線の発見、ガンマ線バーストやブレーザーなどのブラックホール起源ガンマ線の検出、ニュートリノ振動の発見などが挙げられる。近年の観測技術の向上により、複数の観測手段を組み合わせて議論するマルチメッセンジャー天文学の時代となり、著しい発展を見せている分野である。この講義では、宇宙における高エネルギー粒子の起源や、それらの物理的性質、観測原理について基礎的なところから学ぶことを目標とする。講義内容については以下の英語版を参照。大きく3つに分かれている。 Astroparticle physics is a research field that studies high-energy astronomical phenomena and particle physics including dark matter via observations of cosmic rays, gamma-rays, neutrinos and so on. Some of representative discoveries done in this field are new particles such as kaon, which shows CP violation, ultra-high-energy cosmic rays, gamma-rays from black holes like gamma-ray bursts and blazars, and neutrino oscillation. Recent progress in the detector technology leads us to the era of multi-messenger astronomy, which is astronomy via collaborative observations of different species of particles. So this research field has been greatly developed in this decade. The purpose of this lecture is learning basics of origins of high-energy particles, physical properties of particles, and detection technique. The contents are divided into three parts as follows. １．Origin of High-energy Particles High-energy particles are accelerated somewhere in the universe, and produce secondary particles via interacting with other particles. Sources and the production mechanisms of such particles are not yet revealed, so numerous models have been proposed. In this lecture, we learn Fermi acceleration at shock waves as a promising particle acceleration mechanism, cosmic ray propagation in the interstellar medium, and emission mechanisms of gamma-rays and neutrinos. We also learn high-energy astrophysical phenomena as particle production sites. ２．Neutrino Physics Neutrinos have long been assumed to be massless, and the Standard Model of particle physics, based on this assumption, has been established as the paradigm that explains the results of many experiments to a high degree of accuracy. In 1998, however, it was discovered that neutrinos have finite mass and come in different flavors. The assumptions of the Standard Model turned out to be wrong, and this had a major impact on our understanding of particle physics and the nature. In this lecture, we will discuss the fundamental properties of neutrinos, their experimental verification mainly by neutrino oscillations, and the remaining unknowns and future experiments. ３．Dark Matter 　The mystery of dark matter is one of the most critical issues in cosmology and particle physics because it plays a leading role in shaping the universe and its potential to interrelate with various problems in particle physics. There are three main approaches to the experimental verification of dark matter: accelerator generation, indirect detection by observing signals from the decay and the annihilation of dark matter in space, and direct detection by capturing events in which dark matter around us collides with detectors. Research to elucidate the nature of dark matter is being actively pursued using all of these approaches. In this lecture, we will discuss various dark matter candidates and the principles and current status of direct and indirect search experiments for them.

粒子加速器は基礎物理学から医学・産業利用にいたる広い分野において重要な役割を果たしている。ここでは加速器物理学の入門的講義を行う。／ Particle accelerators play an important role in a wide range of fields from fundamental physics to medicine and industrial applications. This is an introductory lecture on physics of particle accelerators.

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.

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，理化学研究所など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，今野北斗「現在の幾何学」，青木俊太朗「宇宙論入門 ― 初期宇宙と素粒子の視点から」，シュパイデル玲雄「数理遺伝学入門」，土居孝寛「コンピュータでのぞくクォークの世界」，角田峻太郎「物性における対称性とトポロジー」，Andreas Dechant「Statistical Mechanics: From Micro to Macro, from Equilibrium to Nonequilibrium　（統計力学： ミクロからマクロへ，平衡から非平衡へ）」, 菊池勇太「量子コンピュータでできること」である．

オーストラリア国立大学(ANU)と進めている国際教育・研究の枠組みの中で行う授業。 全学の学生に開講する。”共生”をテーマにANUから学生が来日し合同でフィールドワークや実験、講義などを行うことにより、国際感覚も養いながら、科学についての理解を進める。/Joint course work with students at the Australian National University. If Covid-19 situation improve, we will host students from the Australian National University to study various topics including Geohazards, AI, Science communications, Philosophy and Science and others. Otherwise, online virtual joint course will be conducted. Theme of the course will be "Kyosei: Co-existence".

オーストラリア国立大学(ANU)と進めている国際教育・研究の枠組みの中で行う授業。 全学の学生に開講する。”共生”をテーマにANUから学生が来日し合同でフィールドワークや実験、講義などを行うことにより、国際感覚も養いながら、科学についての理解を進める。/Joint course work with students at the Australian National University. If Covid-19 situation improve, we will host students from the Australian National University to study various topics including Geohazards, AI, Science communications, Philosophy and Science and others. Otherwise, online virtual joint course will be conducted. Theme of the course will be "Kyosei: Co-existence".

This course overviews the global climate change and introduces the methods and applications of chemical and physical analyses to understand global environmental changes with emphasis on oceanographic processes.

This course overviews the global climate change and introduces the methods and applications of chemical and physical analyses to understand global environmental changes with emphasis on oceanographic processes.