In production and consumption of materials, structural materials are dominant. Technological development in materials industry affects significant positive impacts in broad end uses. A newly developed high-performance materials fulfill higher design requirement, which makes more advanced product design possible. The first half of this class introduces production process of major materials and life cycle perspective on materials, especially structural materials. We discuss interactions amongst materials, finished products, economy, and environment in order to understand roles of materials in industrial metabolism. Global material flows and resource strategy are also introduced to give you a global vision on resources and materials. The latter half of this class introduces high-temperature materials for jet engine or gas turbine in the power plant. The processing and the necessary properties of high-temperature materials will be introduced to understand how they are designed.

4学期に開講された電磁気学の内容を受け、それをもとに物質中の電磁現象について学ぶ。第一の目標を静的な電場、磁場の下での物質の誘電性や磁性の理解とし、第二の目標を電磁波（動的な電磁場）下での物質の応答の理解とする。これらを通して日常的に体験できる電磁気現象や電子機器の仕組みなどを理解するための基礎を身につける。

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.

前半：核酸、アミノ酸、タンパク質に焦点を当て、それらの構造と機能に関する基礎的な概念を学ぶとともに、それらを観察・操作する実験手法の原理について理解を深める。その後、生体物質がどのように作用することで、複雑かつ多様な細胞の機能が発現するのかについて、神経細胞をモデルとして学ぶ。（竹内） 後半：前半の講義をもとに、生体物質によって担われる複雑かつ多様な生命現象として免疫システムを取り上げ、生体物質の同化異化反応が支える個別の細胞機能が、システムとして生体防御あるいは疾患病態を担うしくみを学ぶ。物質レベルから個体レベルへ、幅広い階層を俯瞰することで興味の幅を広げるとともに、最先端の免疫学研究についても学ぶ機会とする。（反町）

This course aims to understand environment relevant chemical reactions in a molecular level. As the students are requested to read some papers, books and discuss on them. They are supposed to know basic physical chemistry involving quantum chemistry, kinetics, reaction dynamics and spectroscopy typically taught in the undergraduate course.

This course aims to understand environment relevant chemical reactions in a molecular level. As the students are requested to read some papers, books and discuss on them. They are supposed to know basic physical chemistry involving quantum chemistry, kinetics, reaction dynamics and spectroscopy typically taught in the undergraduate course.

This class covers the basic concepts and some advanced topics of hydrology (water cycle and water resources).

This class covers the basic concepts and some advanced topics of hydrology (water cycle and water resources).

授業の目標は、量子力学の骨組みの理解である。具体的には、一次元ポテンシャル（自由、井戸型、調和型など）内の粒子の運動を例として、波動関数、ブラケット記法、行列による量子状態の表現およびそれらの関係性、量子状態の時間発展（ダイナミクス）、物理量の期待値や揺らぎ、不確定性関係を学ぶ。デモ実験やコンピューターシミュレーションを多用する。 この授業は、いわゆる「反転授業」の形式で行う。 ①授業前に教科書の該当部分の予習する。 ②予習内容の授業前テスト（10分） ③確認テストの解答確認、解説（15～20分） ④前回の授業の質問への回答、レポート問題の解答確認（15～20分） ⑤教科書の内容に関する理解度の確認テスト＋ディスカッション（40～50分） 授業は予習を前提に組み立てられている。また、毎回の授業後に授業内容に関する質問および授業内容を理解を補強する問題をレポートとして課す（〆切は授業前日の21時）。