The objectives for this course are to expand your knowledge of musical practice to be able to apply analytically the concepts introduced within the course, across a wide range of musical genres, but without the need for any formal training in musical theory. To understand the value of music and its deeper role in society

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.

In this course, we explore the intersection of technology and social resistance, focusing on how underrepresented groups utilize mediums like zines, underground comics, rap music, and internet memes to create communities, challenge oppression, and promote social and political change. Each week we'll look at a different 'technology', understanding its historical context and impact. Topics range from subverting government censorship and control, taboos and subcultures, gender and ethnic minorities, to contemporary uses of underground media. This is primarily a discussion-based course, and students are expected to share their opinions and questions each week in class. Students are expected to prepare by reading assigned texts (or sometimes videos) before class, participate in weekly class discussions, and write a short weekly response paper. Depending on the class size: Once during the semester, each student (possibly in a small group) will lead the class discussion on a subtopic of their choice. There is also a final project, the details of which are to be proposed by the students and accepted by the professor. This course is taught in English and is designed to be accessible by all students with an intermediate English level and above.

In this course, we explore the intersection of technology and social resistance, focusing on how underrepresented groups utilize mediums like zines, underground comics, rap music, and internet memes to create communities, challenge oppression, and promote social and political change. Each week we'll look at a different 'technology', understanding its historical context and impact. Topics range from subverting government censorship and control, taboos and subcultures, gender and ethnic minorities, to contemporary uses of underground media. This is primarily a discussion-based course, and students are expected to share their opinions and questions each week in class. Students are expected to prepare by reading assigned texts (or sometimes videos) before class, participate in weekly class discussions, and write a short weekly response paper. Depending on the class size: Once during the semester, each student (possibly in a small group) will lead the class discussion on a subtopic of their choice. There is also a final project, the details of which are to be proposed by the students and accepted by the professor. This course is taught in English and is designed to be accessible by all students with an intermediate English level and above.

What is for a person to live a good life, that is, a life that it good for the person? It is usually said that such a good life consists in the happiness – or well-being – of the person. But what, then, is well-being? Philosophers have given various answers to this question, and raised challenges to the coherence or utility of the notion itself. This course will survey the major philosophical theories of well-being.

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 robotics, medical high-tech industries, disease prevention, health care system, science technology and industrial policy, system safety, energy technology, and, nano-technology.

In this course, we explore the intersection of technology and cultural hegemony, focusing on how underrepresented groups utilize mediums like zines, underground comics, rap music, and Internet memes to create communities, challenge oppression, and promote social and political change. Each week we'll look at a different 'technology' or group, understanding its historical context and impact. Topics range from subverting government censorship and control, taboos and subcultures, gender and ethnic minorities, to contemporary uses of underground media. This is primarily a discussion-based course, and students are expected to share their opinions and questions each week in class. Students are expected to prepare by reading assigned texts (or sometimes videos) before class, participate in weekly class discussions, and write a short weekly response paper. Once during the semester, each student (in a small group) will lead the class discussion on a subtopic of their choice. There is also a final project, the details of which are to be proposed by the students and accepted by the professor. No previous knowledge is needed. Instead, this course serves more as a primer or gateway to these topics. This course is taught in English and is designed to be accessible by all students with an intermediate English level and above.

In this course, we explore the intersection of technology and cultural hegemony, focusing on how underrepresented groups utilize mediums like zines, underground comics, rap music, and Internet memes to create communities, challenge oppression, and promote social and political change. Each week we'll look at a different 'technology' or group, understanding its historical context and impact. Topics range from subverting government censorship and control, taboos and subcultures, gender and ethnic minorities, to contemporary uses of underground media. This is primarily a discussion-based course, and students are expected to share their opinions and questions each week in class. Students are expected to prepare by reading assigned texts (or sometimes videos) before class, participate in weekly class discussions, and write a short weekly response paper. Once during the semester, each student (in a small group) will lead the class discussion on a subtopic of their choice. There is also a final project, the details of which are to be proposed by the students and accepted by the professor. No previous knowledge is needed. Instead, this course serves more as a primer or gateway to these topics. This course is taught in English and is designed to be accessible by all students with an intermediate English level and above.

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.

There have developed quite separate debates concerning, on the one hand, the Transformation of Warfare, and Revolution in Military Affairs on the other. Conventional knowledge is that while the former approach encompasses a vast range of scholarly analysis on how war in the contemporary era might have transformed in all spheres of economy, politics and society, the latter has focused on the impact of technological advancement in a narrower sense on warfare, especially the way in which warfare has been conducted or ought to be conducted. However, to discuss changes in the character of war in these quite distinct spheres, each with specific preoccupations with no interactions, is not very conducive to a meaningful generalization about the transformation of warfare itself. The purpose of this seminar is to consider the impact of modern and contemporary technological changes, espe-cially focusing on communication and media spheres, on the character and conduct of warfare today, hence bridging the two distinct spheres of interests.