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.

学部レベルの物理学、化学、統計力学、および基礎的な半導体材料のバンド描像、キャリア輸送（＝これらはA1に開講する半導体デバイス材料工学Iの内容）の理解を前提として、先端CMOS，パワーデバイス、不揮発性メモリなどの先端デバイスの動作原理を理解するとともに、その新規材料の開発状況や材料設計、デバイスプロセスについて学ぶ。 Based on the understanding of undergraduate-level physics, chemistry, statistical quantum mechanical physics, band picture of semiconductor materials, and carrier transport (these are mainly the contents of Semiconductor Device Materials Engineering I held in A1 term) the lectures about the operating principles of advanced devices such as advanced CMOS, power devices, and non-volatile memory will be given in this course, This course also covers the status of the state-of-the-art technological development of new materials and their design, and device processes.

There is a growing demand for the effective use of plant resources such as agricultural and forestry residues as an alternative to fossil resources. Surprisingly, there are still many unknown components in these plant materials. For example, bark contains some major components whose chemical structures are unknown, having been given provisional component names in the 1950s and remaining largely untouched since then. Against this background, it is becoming increasingly important to elucidate the characteristics of underutilized plants as biomass feedstocks (raw material properties, chemical structure and reactivity) and to pave the way for the development of effective utilization methods for plant resources. This lecture introduces the principles of biosynthesis, chemical structure and analytical methods of lignin, a major component of plant cell walls. Lignin will be used as a representative example of a natural polymer with a complex chemical structure, which will be explained and discussed. The goal of the lecture is to understand the principles of analytical methods common to the study of the chemical structure of various natural polymers, and through this to develop a way of thinking to approach unsolved problems related to chemical structure. Students will be given time to read and study related papers and present the main points.

電界効果型トランジスタ（MOSFET）は，そのサイズを小さくすることで性能向上と集積密度 の向上をはかってきた。しかし，近年は，歪みエンジニアリングとよばれる半導体に歪みを導入 することで移動度を上昇させる技術，高誘電率ゲート絶縁膜を導入することによるゲート容量の 増大など，材料に様々な工夫をこらすことが性能の向上のために不可欠となっている。本講義で は，トランジスタ性能の向上のための材料学的な工夫と新規な材料の導入によるトランジスタ応 用分野の広がりについて理解することを目的とする。

化石資源の代替として農作物・林業残渣等の植物資源の有効利用が求められている。意外かもしれないが、それら植物体の構成成分は不明な点がまだ多く残されており、例えば、樹皮には、仮の成分名が1950年代につけられ、その後、ほぼ手つかずのまま化学構造が不明とされる主要成分も含まれている。この背景の下、未利用植物が有するバイオマス原料としての素性（原料特性、化学構造、反応性）を明らかにし、植物資源の有効利用法の開発に道筋をつけることが重要視されつつある。 本講義は、植物細胞壁の主要構成成分であるリグニンの生合成、化学構造、および解析法の原理を紹介する。化学構造が難解な天然高分子の代表的な例としてリグニンをとりあげて解説・議論するが、講義の目標は、様々な天然高分子の化学構造研究に共通する解析法の原理を理解し、これを通して、化学構造に関する未解決な問題にアプローチする考え方を養うことにある。また、関連する論文等を受講者が読み調べ、要点を発表する時間を設ける。

講義「量子力学I」に対する演習を行う。 ・前期量子論から始めて、シュレーディンガー方程式の一般的性質（波動関数と確率解釈、演算子など）に関する問題を解く。 ・１次元シュレーディンガー方程式を具体的に扱い、基本的な井戸型ポテンシャルの問題、反射・透過・トンネル効果の問題を解く。 ・ブラケット記法、不確定性関係、ハイゼンベルグ描像の問題を解き、量子力学の定式化について整理する。 ・電子スピン、調和振動子、純粋・混合状態などの問題を解く。

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.