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.

Basic knowledge on fishery economics will be reviewed through lectures using various academic papers. The following topics will be covered: 1) The state of fisheries 2) Fisheries biology and stock assessment 3) Economics of overfishing 4) Right-based fishery management 5) Small-scale fishery 6) Seafood consumption and health 7) Eco-labels 8) Fishbanks 9) Fishers' microbehaviors

This course covers principles and topics related to environmental sciences important for the development of the world. Global and local environmental issues related to climate change, agriculture and marine environment, will be introduced in the course.

The course will take an intersectional approach to why we commonly find an underrepresentation of women in the Science, Technology, Engineering and Mathematics (STEM) fields. The course will begin by addressing our own unconscious biases and stereotypes, and question the research behind male and female differences. We will cover the brief history of the underrepresentation of minorities and explore research articles on why and how women and other minorities have been excluded from STEM fields. Students will be expected to read scientific articles, discuss them, and apply those concepts to examine their own social environments.

The course will take an intersectional approach to why we commonly find an underrepresentation of women in the Science, Technology, Engineering and Mathematics (STEM) fields. The course will begin by addressing our own unconscious biases and stereotypes, and question the research behind male and female differences. We will cover the brief history of the underrepresentation of minorities and explore research articles on why and how women and other minorities have been excluded from STEM fields. Students will be expected to read scientific articles, discuss them, and apply those concepts to examine their own social environments.

Present issues on global fisheries, in particular allocation problems of marine living resources in the world and conflicts among the nations, will be reviewed through lectures. Basic knowledge can be obtained through the lecture on theoretical aspects for fishery managements, relevant international laws, and emerging issues for small-scale fisheries. Class discussion on case studies will be planned, and students are expected to participate to the debate. Examples of the topics of the class are as follows (not all the topics are necessarily covered): (1) International collaborations and conflicts on fisheries resource managements under fishing quota system, (2) area based fisheries managements and marine protect area, (3) small-scale fisheries and globalization, and (4) trade agreements (FTA, WTO) and fisheries.

This course aims to cultivate internationally competitive young researchers equipped with literacy and competency to become future leaders in industry and academia. The course deals with multidisciplinary application skills and the in-depth research in specialized fields so that students accomplish the ability to work in a broader spectrum and apply one’s skills to a multidisciplinary setting. The topics of the course include medical and biomedical robotics, medical high-tech industries, disease prevention, health care system, science technology and industrial policy, energy technology, and health security and community resilience.

Basic knowledge on fishery economics will be reviewed through lectures using various academic papers. The following topics will be covered: 1) The state of fisheries 2) Fisheries biology and stock assessment 3) Economics of overfishing 4) Right-based fishery management 5) Small-scale fishery 6) Seafood consumption and health 7) Eco-labels 8) Fishbanks 9) Fishers' microbehaviors

To understand the social scientific perspectives on societal problems and risk issues occurred in the course of interaction between science, technology and modern society ※Note: Lecture in April 10, Mid-term exam in May 1 and Final exam in May 29 are conducted in Room # 502 of Eng Bldg #8, NOT online.