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最終更新日:2024年10月18日

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全学自由研究ゼミナール (駒場2キャンパスで最先端生命医科学探究とバイオテクロジー開発をしよう) (最先端バイオテクノロジー開発・生命科学研究への誘い@駒場IIキャンパスInvitation to Advanced Biotechnology Development and Life Science
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本ゼミは、駒場IIキャンパスにおいて行われている最先端の生命科学やバイオテクノロジーの研究開発の内容を、学部生の皆さんに伝え、実際の研究に触れ、関わっていくきっかけとすることを目指しています。駒場IIキャンパスにおいて行われている先端生命科学研究に関しては、システム生物医学ラボラトリーズ(Laboratories for Systems Biology and Medicine: LSBM)のホームページ(https://www.lsbm.org/*****)に掲載しています。 【先端研とは】 学部生のみなさんが主に学ぶ駒場Ⅰキャンパスから歩いてすぐの所、駒場Ⅱリサーチキャンパスにある先端科学技術研究センター(先端研)は、「学術の発展と社会の変化から生じる新たな課題へ機動的に挑戦し、人間と社会に向かう先端科学技術の新領域を開拓することによって、科学技術の発展に貢献することを目的とする」研究所です。 【LSBMとは】 LSBMは、次世代生命医科学を開拓すべく有機的に協働する、バーチャルな十以上の研究室集合体です。主に先端研のメンバーを中心として理学・工学・情報科学・医学の研究者が、積極的なコラボレーションを展開しています。 This seminar aims to inform undergraduate students about the cutting-edge life science and biotechnology research and development taking place at the Komaba II campus, and to provide them with an opportunity to experience and become involved in actual research. Information about the advanced life science research being conducted at the Komaba II campus is posted on the Laboratories for Systems Biology and Medicine (LSBM) website (https://www.lsbm.org)./***** The Research Center for Advanced Science and Technology (RCAST), located on the Komaba II Research Campus, a short walk from the Komaba I Campus where most undergraduate students study, is dedicated to "contributing to the advancement of science and technology by taking on new challenges arising from academic development and social change, and by exploring new areas of advanced science and technology for the benefit of humanity and society. LSBM is a virtual group of more than ten laboratories that collaborate organically to pioneer the next generation of biomedical science. LSBM is a virtual group of more than ten laboratories that collaborate organically to pioneer the next generation of biomedical science.
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31830
CAS-TC1200S1
全学自由研究ゼミナール (駒場2キャンパスで最先端生命医科学探究とバイオテクロジー開発をしよう) (最先端バイオテクノロジー開発・生命科学研究への誘い@駒場IIキャンパスInvitation to Advanced Biotechnology Development and Life Science
大澤 毅
S1
集中
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グローバル教養科目(Living a Good Life: The Philosophy of Well-Being)
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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.
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7V0101045-P/F
FGL-GL3145S3
グローバル教養科目(Living a Good Life: The Philosophy of Well-Being)
PEEBLES GRAHAM
S1 S2
木曜4限
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グローバル教養科目(Living a Good Life: The Philosophy of Well-Being)
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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.
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7V0101045
FGL-GL3145S3
グローバル教養科目(Living a Good Life: The Philosophy of Well-Being)
PEEBLES GRAHAM
S1 S2
木曜4限
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グローバル教養科目(Living a Good Life: The Philosophy of Well-Being)
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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.
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7V0101045A
FGL-GL3145S3
グローバル教養科目(Living a Good Life: The Philosophy of Well-Being)
PEEBLES GRAHAM
A1 A2
木曜3限
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グローバル教養科目(Living a Good Life: The Philosophy of Well-Being)
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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.
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7V0101045A-P/F
FGL-GL3145S3
グローバル教養科目(Living a Good Life: The Philosophy of Well-Being)
PEEBLES GRAHAM
A1 A2
木曜3限
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グローバル教養科目(The Gender Data Gap: exploring the lack of data about women and girls’ experience in life)
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This course explores the persistent challenge of gender-based data disparities and their far-reaching consequences for society. Across various domains, from health and education to economic participation and political representation, the lack of gender-disaggregated data hinders our ability to understand and address the unique needs and experiences of women, girls, and gender-diverse individuals. Throughout the course, students will engage in discussions, readings, and a hands-on project that involves analyzing publicly available gender-segregated data. This will allow them to develop a deep understanding of the gender data gap and its implications, as well as practical skills in data analysis, visualization, and policy advocacy. This class will be taught in English and students will be expected to speak in English and complete assignments in English.
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7V0101062A
FGL-GL3162S3
グローバル教養科目(The Gender Data Gap: exploring the lack of data about women and girls’ experience in life)
テラシマ アレクサンドラ
A1 A2
水曜2限
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グローバル教養科目(The Gender Data Gap: exploring the lack of data about women and girls’ experience in life)
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This course explores the persistent challenge of gender-based data disparities and their far-reaching consequences for society. Across various domains, from health and education to economic participation and political representation, the lack of gender-disaggregated data hinders our ability to understand and address the unique needs and experiences of women, girls, and gender-diverse individuals. Throughout the course, students will engage in discussions, readings, and a hands-on project that involves analyzing publicly available gender-segregated data. This will allow them to develop a deep understanding of the gender data gap and its implications, as well as practical skills in data analysis, visualization, and policy advocacy. This class will be taught in English and students will be expected to speak in English and complete assignments in English.
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7V0101062A-P/F
FGL-GL3162S3
グローバル教養科目(The Gender Data Gap: exploring the lack of data about women and girls’ experience in life)
テラシマ アレクサンドラ
A1 A2
水曜2限
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ISAD Environmental Science
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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.
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060414170
FAG-MI3018L2
ISAD Environmental Science
山本 光夫
A1 A2
火曜2限
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Science, Technology and Public Policy
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The development and diffusion of science innovative technologies is indispensable for modern society. However, despite its benefits, the development of science and technology is not without various risks and social problems. So far as we are going to make societal decisions for the use of science and technologies with diverse social implications that encompass both risks and benefits, sometimes involving values implications, there is a need for mechanisms of decision making and management of the development and utilization of science and technology. Decisions can be different depending on environmental, institutional and cultural conditions. In addition, innovative policy instruments/ mechanisms to deal with rapidly changing science and technology, including regulatory measures, are required for implementing decisions. This course will deal with wide range of issues from local to global levels faced at the interface areas between science, technology and public policy from comparative perspective of Japan, the US and Europe. It offers key theoretical issues surrounding Science and Technology and provides students with the tools and frameworks, such as risk assessment/ management and transition management, to analyze them. This course invites students from both natural science backgrounds (i.e. the graduate school of engineering, new frontier science and so on) and social science backgrounds (graduate school of public policy, law and politics, and economics and public policy). We expect students to acquire interdisciplinary perspective in addition to their primary major, which is one of the critical skill in analyzing complex social technical issues posed by science and technology.
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5112131
GPP-MP5P10L3
Science, Technology and Public Policy
松尾 真紀子
A2
月曜5限、水曜4限
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Application of Biometrics and Biostatistics to Agricultural Science
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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.
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3901165
Application of Biometrics and Biostatistics to Agricultural Science
岩田 洋佳
S1 S2
火曜5限
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