担当教員が最先端の研究成果について基礎事項を踏まえながら説明し、物性研究の最前線で何が問題となり、どこまで解決されているのかを解説する。 Six professors from ISSP will introduce the results of cutting-edge research in solid state physics. Students will learn about the latest problems in this field and the ongoing studies aimed at solving them.

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.

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.

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".

The knowledge of biomaterials is critical for the creation of novel medical devices. The purpose of the course is to systematically study the properties and characterization of basic materials used in the conventional medical devices, including metals, ceramics and polymers. In addition, the design principles of biomaterials for applications in various advanced medical devices (artificial organ, medical diagnosis devices, drug delivery system (DDS)) will be examined.