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.

発光現象や光計測・光通信など、我々に身近な光学現象や応用において、光の量子性が様々な形で本質的な役割を担っている。本講義では、光の量子力学性質および物質と光の相互作用の量子力学について学び、身近な現象・応用から最新の光・物質科学に至る広い範囲で重要かつ基礎となる光と物質の量子論の理解を目指す。/Quantum nature of light plays an essential role in various optical phenomena and applications, such as light emission, optical measurement and optical communications. In this lecture, we will learn about the quantum mechanical properties of light and the quantum mechanics of the interaction between matter and light, and the theory of light and matter which is fundamental in a wide range from familiar phenomena and applications to the leading-edge light and material science.

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.

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.

量子力学IIの内容を既知とし、より進んだ量子力学の内容を学ぶ。まず基本事項を総括し、その後、以下の3つの課題を中心に必要な内容を補足しながら講義を進める。学期末には、これらの課題を自力で解決できることを目標とする。各課題に対して具体的な問題を提示し、その解決過程を通じて重要事項を解説する。 課題1: 量子ダイナミクス 時間依存の2状態系のハミルトニアンを厳密解法や近似解法など多角的に用いて解き、そこから得られる物理的意味を理解する。関連して、2状態系の応用、断熱近似、ベリー位相などを扱う。 課題2: 光と物質の相互作用 水素原子の励起状態の寿命を計算する力を養う。関連として、時間依存摂動論や電磁場の量子論を学ぶ。 課題3: 量子力学における対称性 1次元束縛状態に縮退がない理由、2次元で縮退が可能になる理由を対称性の観点から説明できるようにする。関連して、対称性と保存則、量子力学と群論の関係を学ぶ。

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.

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。

量子コンピューターの研究は、微細加工技術が進歩し、情報処理を担う「素子」が原子レベルに近づきつつある今日、当然の流れと言えよう。「素子」が原子レベルに近づくと、その動作はニュートン力学ではなく量子力学という運動法則に支配される。そこでは、アインシュタインとボーアの論争に代表されるシュレーディンガーの猫状態やＥＰＲ相関（一種のテレパシー？？）が実際に起こる。量子コンピューターでは、これらの摩訶不思議な「量子効果」を用いて、情報のやり取りや情報処理を行う。この講義では、量子コンピューターの原理と現状についての入門的な講義を行う。

担当教員が最先端の研究成果について基礎事項を踏まえながら説明し、物性研究の最前線で何が問題となり、どこまで解決されているのかを解説する。 Results of the cutting-edge research of the solid state physics are introduced by six professors from ISSP. Students will learn the forefront problems and ongoing studies to solve them.

物性物理学のトピックスの中から、大きく分けて二つのテーマを選び、基礎から最近の発展まで，実際の物質に即して解説する． An overview is given on the selected two topics in condensed matter physics, from basics to recent developments and with emphasis on real materials