While music is often touted as a “universal language” and thought of in terms of its positive functions—e.g., tool of aesthetic, spiritual, and/or intellectual expressions; formation of personal identities; building relationships and communities; mobilizing spirits and promoting actions; healing and rehabilitation; enhancing ambience and environment—it also involves various forms of inequity, exclusion, and exploitation in its creation, circulation, and consumption. This course examines the issues of diversity, equity, and inclusivity in musical practice and explores what it means to pursue justice in/through music. Through discussions of key concepts and assigned readings, field observations, and group projects, we will explore such topics as: class, race, and gender in musical practice; ability, productivity, and creativity in music; music and representation; advocacy and activism in/through music. Through the course, students will: - learn to think of music as not only as an artistic but also a social practice - understand various forms of exclusion, marginalization, and exploitation that occurs in musical practice - learn about examples of advocacy and activism for social justice in/through music - learn interdisciplinary approaches to the study of music, including American studies, cultural studies, ethnography, ethnomusicology, history, musicology, and sociology - engage music as an embodied social practice and analytically reflect on the experience

While music is often touted as a “universal language” and thought of in terms of its positive functions—e.g., tool of aesthetic, spiritual, and/or intellectual expressions; formation of personal identities; building relationships and communities; mobilizing spirits and promoting actions; healing and rehabilitation; enhancing ambience and environment—it also involves various forms of inequity, exclusion, and exploitation in its creation, circulation, and consumption. This course examines the issues of diversity, equity, and inclusivity in musical practice and explores what it means to pursue justice in/through music. Through discussions of key concepts and assigned readings, field observations, and group projects, we will explore such topics as: class, race, and gender in musical practice; ability, productivity, and creativity in music; music and representation; advocacy and activism in/through music. Through the course, students will: - learn to think of music as not only as an artistic but also a social practice - understand various forms of exclusion, marginalization, and exploitation that occurs in musical practice - learn about examples of advocacy and activism for social justice in/through music - learn interdisciplinary approaches to the study of music, including American studies, cultural studies, ethnography, ethnomusicology, history, musicology, and sociology - engage music as an embodied social practice and analytically reflect on the experience

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.

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.

分野トップの講師陣による講義。異分野の基礎と先端について学び、系統的な幅広い知識を習得する。 Lectures by a diverse group of top researchers in their fields. From the basics to the state-of-the-art research. Develop a broad range of knowledge systematically.

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.

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.

Class 1 - Introduction / specificities of musical information Class 2 - Basics of machine learning Class 3 - Neural networks Class 4 - Support vector machines Class 5 - Probabilities and distributions Class 6 - Bayesian inference Class 7 - Latent models and EM Class 8 - Gaussian Mixture Models Class 9 - Approximate inference (sampling and variational) Class 10 - Modern deep learning Class 11 - Variational Auto-Encoders and normalizing flows Class 12 - Generative Adversarial Networks Class 13 - Diffusion models and modern applications More information can be confirmed at the following link: https://*****/*****

個々の社会における常識（ものの見方や思考の枠組み）は決して不変・普遍ではなく、時代や地域が変われば大きく様変わりする。この授業では、音楽（特に童謡）に注目することを通じて、そうした社会常識の変化を確認し、もって現代を「相対化」することを試みる。受講生には、現在進行形で変容する文化を分析するための視座を獲得してもらいたい。また併せて、提示されたテクストを能動的・批判的に読む姿勢も身につけてもらいたい。 具体的には、授業担当者が2018年に発表した書籍『童謡の百年』を教科書に用い、社会と音楽との関係を具体的事例に沿って考えて行く。なお同書は、「童謡」に対する我々の一般的・今日的イメージ（「日本人の心のふるさと」）が、どのような経緯のなかで成立・浸透してきたのかを追跡するものである。 The common sense in each societies changes a lot by the era or the region. In this class, we confirm such changes of common sense through observing music, especially Japanese nursery rhymes. Students will be expected to get the skill of analyzing the culture which continues changing. Text book is "Doyo no Hyakunen" (Chikuma Syobo, 2018), written by the instructor. This book treats the circumstance which our general and contemporary image about Doyo(Nursery rhyme) was materialized and have permeated.

Haiku. Manga. Ramen. Sushi. Mecha. What they have in common, and what becomes the topic of this course, is their underlying form of presentation: collage. This Global Liberal Arts course will explore collage not only as an art technique but also as a common form of communication in our everyday life. It will introduce students to collage as a playful and strategic stylistic option in alphabetic text and multimodal composition. It will be a course where students study different kinds of collage and use writing across media to experiment, take risks, relax, have fun. In the spirit of UTokyo GlobE and the SDG of "Quality Education," it will make available to students analytical skills that facilitate discussion on contemporary social issues as well as useful strategies for composing knowledge and unpacking composed knowledge.