データ科学は科学研究の基本の一つであり，本学においても研究科を問わず，多様な分野において活用されている．データ科学の範疇はデータの処理・分析だけではなく，データの収集・整理，分析結果の公表・評価まで多岐に亘るが，一方で分野それぞれ得意とするもしくは重要視する範疇は異なることがある．本科目ではその欠を補うため，それらデータ科学の知識と技術を総合的に習得することを目的とする．習得には，データ科学イノベーション教育研究センターの提供するデータサイエンススクール等の課外スクールにおける講義演習を通じて行う．スクールでは様々な分野でデータを扱う専門家に登壇してもらい，分野横断的にデータ科学を展望することを目指す．

多角的なデータ科学の素養（収集，整理，処理，分析，公表，評価）を身につけることを目標とする．その到達のために，講義によってデータ科学的手法の知識を習得し，同時に演習によってその技術を習得する．

データ科学イノベーション教育研究センターが前期期間に提供するデータサイエンススクール等の課外スクールにおいて，データ科学的手法を体験しながら実践的に学ぶ．スクールは講義と演習を組とする形式で行われる．スクール当日の講義演習を行うだけでなく，スクール毎に設定されるレポート課題に取り組む．スクールの開講については，後日掲示やKULASIS，PandA等で開講するスクールの概要・準備内容・参加要項の連絡を行う．令和7年度は 「機械学習トレーニング」など６月〜９月の間に開講を予定している．また，詳細や過去の実績は以下のURLのスクールの情報サイトにも掲載する．http://ds.k.kyoto-u.ac.jp/events/

データサイエンススクールに前期期間で述べ8時間以上参加できること（1時間は90分1コマの換算）．

データ科学イノベーション教育研究センターにおいて複数回実施されるデータサイエンススクール等の課外スクールに，前期期間で合計8時間以上参加すること（1時間は90分1コマの換算）．各スクールは2時間もしくは4時間で構成される．スクールでの演習内容とスクール毎に設定されるレポート課題を提出する．レポート課題にはプログラミング演習も含む可能性がある．そのレポートの内容によって到達目標への到達度を評価する．

データサイエンススクールの内容を深く理解するために，自己所有PCや計算機室の利用などによって，学生各自で演習の復習を行うこと．

【メディア授業科目】

This course is designed to provide graduate students with an opportunity to develop their ability and confidence when presenting field-specific content to an informed audience. Giving presentations in an academic setting, whether it is in a classroom, laboratory context, or at a conference, has become increasingly necessary for students at the graduate level. Course content extends from how to greet the audience to how to answer audience questions.

Students successfully completing this course will be able to do the following:
・Create an appropriate presentation slideshow for a conference or a research laboratory presentation;
・Clearly introduce and provide an overview of the talk through appropriate signposting;
・Properly display visual aids to enhance audience understanding of research data;
・Use posture and movement to engage the audience;
・Use gestures, voice, and eyes to emphasize information and connect with the audience;
・Produce a research presentation; and
・Answer audience questions.

Session 1: Introductions, conferencing, and networking
Session 2: Structure of academic presentations
Session 3: Information Organization: From greetings to goodbyes
Session 4: Body language and gestures
Session 5: Creating effective slideshows and displaying research data
Session 6: Explaining data
Session 7: Answering basic research and audience questions
Session 8: Student presentations and instructor feedback

* Please note that this course will take place at:

YOSHIDA Campus on the following dates: 8/5, 8/6, 8/8
KATSURA Campus on the following dates: 8/19, 8/20, 8/22
YOSHIDA Campus on the following dates: 8/26, 8/27, 8/29

Students can sign up for only one of these courses.

Tuesday (2-3-4 periods)
Wednesday (2-3-4 periods)
Friday (2-3 periods)

This course has a limit set on student enrollment to 20 students. In the case where many students wish to enroll in class, a lottery system will decide inclusion.

*本科目は、KULASISでの履修登録を行いません。7月頃、履修申込を受け付ける予定です。詳細は別途周知します。／ The course registration is not conducted via KULASIS. Application is scheduled to be accepted around July, and the details will be announced separately.

20% Active Participation*
20% Slideshow Creation
60% Main (30%) and Minor (30%) Presentations

*Be sure to attend all class sessions. Grading occurs throughout the course during class presentations. Any absences during these grading times will result in a score of "0" for graded presentations and tasks.

Students will be asked to work on several smaller in-class talks and one larger presentation as their primary out-of-class homework assignment. This includes recording your own presentations and uploading them to Google Drive.

Students will use Google Drive during presentations, with specific focus on Google Docs and Google Slides. Some computer skills are required, though most in-class work can be performed on a smartphone or a tablet. Familiarity with Google Docs and Slides is not required--only the willingness to learn the basics of these skills.

This course is designed to provide graduate students with an opportunity to develop their ability and confidence when presenting field-specific content to an informed audience. Giving presentations in an academic setting, whether it is in a classroom, laboratory context, or at a conference, has become increasingly necessary for students at the graduate level. Course content extends from how to greet the audience to how to answer audience questions.

Students successfully completing this course will be able to do the following:
・Create an appropriate presentation slideshow for a conference or a research laboratory presentation;
・Clearly introduce and provide an overview of the talk through appropriate signposting;
・Properly display visual aids to enhance audience understanding of research data;
・Use posture and movement to engage the audience;
・Use gestures, voice, and eyes to emphasize information and connect with the audience;
・Produce a research presentation; and
・Answer audience questions.

Session 1: Introductions, conferencing, and networking
Session 2: Structure of academic presentations
Session 3: Information Organization: From greetings to goodbyes
Session 4: Body language and gestures
Session 5: Creating effective slideshows and displaying research data
Session 6: Explaining data
Session 7: Answering basic research and audience questions
Session 8: Student presentations and instructor feedback

* Please note that this course will take place at:

YOSHIDA Campus on the following dates: 8/5, 8/6, 8/8
KATSURA Campus on the following dates: 8/19, 8/20, 8/22
YOSHIDA Campus on the following dates: 8/26, 8/27, 8/29

Students can sign up for only one of these courses.

Tuesday (2-3-4 periods)
Wednesday (2-3-4 periods)
Friday (2-3 periods)

This course has a limit set on student enrollment to 20 students. In the case where many students wish to enroll in class, a lottery system will decide inclusion.

*本科目は、KULASISでの履修登録を行いません。7月頃、履修申込を受け付ける予定です。詳細は別途周知します。／ The course registration is not conducted via KULASIS. Application is scheduled to be accepted around July, and the details will be announced separately.

20% Active Participation*
20% Slideshow Creation
60% Main (30%) and Minor (30%) Presentations

*Be sure to attend all class sessions. Grading occurs throughout the course during class presentations. Any absences during these grading times will result in a score of "0" for graded presentations and tasks.

Students will be asked to work on several smaller in-class talks and one larger presentation as their primary out-of-class homework assignment. This includes recording your own presentations and uploading them to Google Drive.

Students will use Google Drive during presentations, with specific focus on Google Docs and Google Slides. Some computer skills are required, though most in-class work can be performed on a smartphone or a tablet. Familiarity with Google Docs and Slides is not required--only the willingness to learn the basics of these skills.

This course is designed to provide graduate students with an opportunity to develop their ability and confidence when presenting field-specific content to an informed audience. Giving presentations in an academic setting, whether it is in a classroom, laboratory context, or at a conference, has become increasingly necessary for students at the graduate level. Course content extends from how to greet the audience to how to answer audience questions.

Students successfully completing this course will be able to do the following:
・Create an appropriate presentation slideshow for a conference or a research laboratory presentation;
・Clearly introduce and provide an overview of the talk through appropriate signposting;
・Properly display visual aids to enhance audience understanding of research data;
・Use posture and movement to engage the audience;
・Use gestures, voice, and eyes to emphasize information and connect with the audience;
・Produce a research presentation; and
・Answer audience questions.

Session 1: Introductions, conferencing, and networking
Session 2: Structure of academic presentations
Session 3: Information Organization: From greetings to goodbyes
Session 4: Body language and gestures
Session 5: Creating effective slideshows and displaying research data
Session 6: Explaining data
Session 7: Answering basic research and audience questions
Session 8: Student presentations and instructor feedback

* Please note that this course will take place at:

YOSHIDA Campus on the following dates: 8/5, 8/6, 8/8
KATSURA Campus on the following dates: 8/19, 8/20, 8/22
YOSHIDA Campus on the following dates: 8/26, 8/27, 8/29

Students can sign up for only one of these courses.

Tuesday (2-3-4 periods)
Wednesday (2-3-4 periods)
Friday (2-3 periods)

This course has a limit set on student enrollment to 20 students. In the case where many students wish to enroll in class, a lottery system will decide inclusion.

*本科目は、KULASISでの履修登録を行いません。7月頃、履修申込を受け付ける予定です。詳細は別途周知します。／ The course registration is not conducted via KULASIS. Application is scheduled to be accepted around July, and the details will be announced separately.

20% Active Participation*
20% Slideshow Creation
60% Main (30%) and Minor (30%) Presentations

*Be sure to attend all class sessions. Grading occurs throughout the course during class presentations. Any absences during these grading times will result in a score of "0" for graded presentations and tasks.

Students will be asked to work on several smaller in-class talks and one larger presentation as their primary out-of-class homework assignment. This includes recording your own presentations and uploading them to Google Drive.

Students will use Google Drive during presentations, with specific focus on Google Docs and Google Slides. Some computer skills are required, though most in-class work can be performed on a smartphone or a tablet. Familiarity with Google Docs and Slides is not required--only the willingness to learn the basics of these skills.

特になし

Strategy is the art and science of building competitive & corporate advantages, i.e. it is the way by which organisations increase their competitiveness and their performance in a (hyper-)competitive environment. The aim of this course is to think about organizational actions that enable sustained growth and make the organisation competitive in an environment which has become increasingly instable and complex. We will explore how organisations adapt to the radical and/or emerging upheavals in its external environment, but also, in some cases, to constitute these upheavals in order to set new rules for its markets and competitors.
This course aims at providing students with the fundational knowledge of strategic management through:
1- Theoretical and conceptual frameworks which enable an analytical approach to strategy at the business & coporate level
2- Qualitative analytical tools for business & corporate strategic diagnostic
3- General knowledge for understanding strategy’s specific dimensions (competition, value creation, synergies, business models and new topics such as platform and ecosystem)
Our prupose is to bring students to tackle strategy making processes in a reflective way, which in turn enables students to grasp how organisations react to their external environment and anticipate changes therein. The approach adopted in this course is global in character, with the knowledge of key theories, concepts and tools delivered in a methodical and sequential manner, enabling students to gain more easily the knowledge of the strategic management field, in addition to start appreciating the numerous current strategic challenges faced by organizations. We will have an analytical approach that relies on the learning of theoretical and conceptual material, as well as the use of diagnostic tools applied to cases, and reading materials.

Our main objective is to provide students with a unique way of understanding, describing and conceptualising strategy by enabling them to become familiar with the past, present and emerging perspectives in the field, integrating theories, concepts, tools and cases they have learnt, as well as reflecting constantly on what is being learnt to conduct an analysis of the strategic reality faced by organizations.

1- Historical introduction to strategic management
2- From value creation to competitive advantage: the basis of strategic decision making
3- The macro environmental effect on competitive advantage: how external factors impact strategic decision making
4- The industry effect on competitive advantage: how industry structure impacts strategic decision making
5- The role of value chain in generating a competitive advantage
6- The influence of resources & capabilities in developing a competitive advantage
7- The strategic fit: how the internal and external matching creates a successful business strategy
8- From strategic fit to competition: understanding the competitive rivalry in different contexts
9- Decreasing competitive rivalry: how business model counts
10- Understanding dominant and emerging business models of our time
11- The future of business model domination: focus on platform firms
12- From Platforms to ecosystems: how and why the nature of competition changes?
13- Going beyond competition and competitive advantage: the role of the headquarter and its corporate strategy
14- From competitive to corporate advantage: multiplying the sources of value
15- The future of strategic management

Students should have basic reading and speaking capabilties of English and some basic knowledge of management will be a plus.

Final report of 1500 words (a case study done by the student)

Learning the content + readings (paper provided by the professor) + case studies + writing their case study

The full quota of this lecture is 60 students (on a first-come, first-served basis). Office hours can be made via email.There is no a single textbook tackling all these dimensions. Therefore, I will provide references directly for each class (reading + cases). Nevertheless, for more than half of my classes, the Frank Rothaermel's texbook is ok.

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日本語・日本文化研修留学生限定

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A quick look at the development of the arts in the 20th century shows how significant its impact is on Western visual culture. From the Avant-gardes up to now, artists have been involved in an ongoing disruptive process, putting into question the goals and outcomes of the previous generation. What we now accept and estimate as art is totally different from the sculptures and paintings fascinating our grand-grand fathers and mothers. The course briefly retraces the trajectory of contemporary art by focusing on the protagonists (movements and authors) of this fundamental change in aesthetic research. The crucial issue is to look at these changes from a design perspective rather than with the eyes of art historians and critics, which makes art methods suitable to any innovation process.

Artists are individuals and groups who try to understand reality and communicate the outcomes of their research to the audience. In doing this, they often produce disruptive outcomes. The course helps students understand these strategies on a basic level. Participants will learn to recognize the distinctive traits of each artistic research, its approaches, and strategies toward innovation. This knowledge will provide students with a new toolkit to face the many challenges of their professional lives.

Lesson 1: 3 sessions (4 hours 30') The season of the Avant-garde from Expressionism to Surrealism
Session 1: Intro, expressionism, Cubism, Futurism. Session 2: The birth of abstract art (Kandinskij and Malevich, De Stijl, Constructivism. Session 3: Dadaism, Metafisica, Surrealism.

Lesson 2: 3 sessions (4 hours 30') Art after the Second World War
Session 1: Action painting, Kinetic Art. Session 2: New Dada, Pop Art. Session 3: Minimalism
First Test: 1 session (1 hour 30’) written test in a multiple-choice format aimed at assessing the understanding of lessons 1 and 2.

Lesson 3: 3 sessions (4 hours 30') Between Modern and Postmodern. Experimentations in the last decades of century
Session 1: Conceptual Art. Session 2: Land Art. Session 3: Video Art

Lesson 4: 3 sessions (4 hours 30') Contemporary scenarios. A selection of artworks from international art exhibitions
Session 1: The Gran Tour 2007, Estuaire 2009. Session 2: Art at the Biennale of Venice. Session 3: In the Web: Digital Art and NFTs

Second Test. 2 sessions (3 hours) Where are you from? The legacy of the arts in contemporary products and environments. Interactive game in a multiple-choice format aimed at assessing the understanding of the course

The course consists of formal lessons, conversations, and interactive games aimed at involving participants in a collaborative learning process. A previous knowledge of the course topics is not required.

Students will take two in-course tests. The first one is a written test in a multiple-choice format aimed at assessing the understanding of lessons 1 and 2. The second is an interactive game in a multiple-choice format aimed at assessing the knowledge of the whole course. Students will pass the exam by answering 40% of each questionnaire. Students who actively contribute to the discussion by asking questions and providing personal interpretations will also be evaluated at 20% of the total grade. Therefore, grades vary from the minimum performance in the questionnaires (40% + 40% of correct answers) to 100% of correct answers + active contribution to the discussion.

Textbooks and references are optional. Since it is an intensive course, students capable of taking good notes can profitably learn the course topics and pass the exam.

Considering these learning and evaluation criteria, the number of expected students varies between 25 and 50.

次世代シーケンサー（NGS）の台頭により、生命科学研究においてもこれまでとは桁違いのビッグデータをベースに研究をすることが必須になってきている。これからの生命科学研究者はその膨大な情報を自ら読み、理解し、解析する力が問われている。

本講義では、これまでのシーケンス技術の発展を歴史的に俯瞰し上で、実際にNGSを用いた最前線の研究例を紹介する。さらに演習では、NGSが出力するデータに実際に触れ、化学研究所のスパコンを用いてUNIXや解析ソフトウェアによる解析を行い、数字・文字の羅列であるビッグデータから、生物学的な意味を抽出する。ビッグデータを扱ったことのない初学者でも、2日間の講義・演習でNGS解析ができるレベルにまで引き上げることが目標である。

[1] 次世代シーケンサーの原理・特徴について説明でき、様々な解析手法と応用研究について理解できること。
[2] 基本的なUNIXコマンドについて理解し、ターミナル上で自由に操作することができること。
[3] 次世代シーケンサーが出力するファイル形式を理解し、その解析に必要なソフトウェアについて理解・操作することができること。
[4] 次世代シーケンサーが出力する数字・文字の羅列であるビッグデータから、生物学的な意味を抽出できること。
[5] スパコンの仕組みを理解し、実際に接続し、計算を行うことができること。

9月11日(木)と9月12日(金)の2日間で実施する。授業計画と内容については初日の講義で改めて説明する。

9月11日（木）（1日目）　講義・演習
2限目　（講義1） 山本拓也（iPS細胞研究所）：次世代シーケンサー(NGS)を用いたiPS・ES細胞研究について
3限目　（演習1） UNIXの基本的なコマンド操作・ターミナル操作方法の習得
4限目　（演習2） UNIXによるテキスト処理
5限目　（演習3） NGSに関連する配列データフォーマットの解説
　　　　
9月12日（金）（2日目）　講義・演習
2限目　（演習4） RNA-seq解析（１）：ショートリードのゲノム配列へのマッピング
3限目　（演習5） RNA-seq解析（２）：発現変動遺伝子の抽出
4限目　（演習6） RNA-seq解析（３）：Rを用いたデータ解析・生物学的意味の抽出
5限目　（演習7） RNA-seq解析（４）：Rを用いたデータ解析・生物学的意味の抽出

本演習では、受講生のPCを用いて、京都大学化学研究所のスパコンにリモート接続し、シェルを用いて計算を行う。PCのOSはWindows/Macの種類を問わないが、HDDの空き容量に余裕があること、メモリは8GB以上あることが望ましい。UNIXやスパコンの使用経験は問わない。低スペックのPCしか持っていない受講者に対しては、生命科学研究科のMacbookを貸与できる。ただしその台数（35台）に限りがあるため、希望者が一定数を上回った場合は、生命科学研究科の履修希望者へ優先して貸与する。貸与希望の調査についてはおってその旨をPandA等を通じて連絡する。

対面形式での演習を予定しているが、履修希望者数が一定数を上回った場合は、オンライン形式での受講措置等を講じることがある。またこれに関わらず、社会的状況を考慮して全面的にオンライン形式で開講する可能性もある。詳細については追って通知するので注意すること。

2日間の講義と演習に全て出席した上で、課題を提出することを成績評価の前提とする。詳細については開講時に説明する。

あらかじめ下記のサイトの「UNIX基本コマンド」「R入門」を読んでおくことが望ましいが、必須ではない。 https://github.com/nibb-unix/gitc2017a-unixr/wiki

連絡担当教員：山野隆志　メールアドレス： tyamano@lif.kyoto-u.ac.jp

※オフィスアワーの詳細については、KULASISで確認してください。

この科目は前期集中科目ですが、採点登録・成績開示は後期科目と同時期に行います。

ガラス・液晶に関しての基礎物理について講義を行い、これを理解することを目標とする。同時にこれらの工業製品開発の歴史の講義を行い、産業形成、技術開発、企業戦略、マーケティングなどの項目を概説し、科学技術と産業との関係を理解する。また、企業経営者の視点と基礎科学研究者の視点の双方から、日本の産業・経済構造を概観し、これから必要とされるリーダー像を概説して、これを理解することを目的とする。

ガラス・液晶など、主要な工業製品と基礎科学的な発見と研究、および企業における製品開発の歴史やマーケティングを学び、物質科学の原理と製品性能向上の関係性を理解する。また、基礎科学的な研究者と企業経営者の2つの視点を理解し、今後の日本の産業・経済の発展や、それを牽引できるリーダー像について理解する。

・経営者の視点と研究者の視点から日本の産業に関する考察を行う
・直接仕事で関与した液晶ディスプレイ、ガラスに関して、その歴史、産業の歩み、技術を紹介する中で上記の考察を進める。()内は講義時間の目安
①企業における技術経営１ （１）・・・講師の経歴紹介を兼ねて
②液晶ディスプレイの基礎技術と産業 （３）
③ガラスの物理と産業技術 （３）
④マーケティングと新事業 （１）
⑤グローバル企業における研究者 （１）・・・これからのグローバルで活躍する研究者像、学位
⑥企業における技術経営２ （１）・・・会社での開発の仕組み、産学連携、リーダー像
・①から④までは通常の講義方式として、⑤と⑥は双方向でコミュニケーション講義を実施
・双方向コミュニケーション講義では最初30〜45分程度で講師が話題提供。その後、聴講者の意見を自由に述べてもらい、講師との双方向コミュニケーションを図る。
・テーマは、⑤では、産業に貢献する研究者像とは（学位の在り方、日本人の働き方、等も考慮）⑥では、産学連携での産と学の役割（日本と欧米の差異）、今後求められるリーダー像とする。
・聴講学生はレポートを提出する（レポートは下記の成績評価の対象となる）。

基礎統計力学、電磁気学（学部卒業程度）の履修を前提とする。

・評価は、講義への出席50％、レポート50％（レポートはA4で各2〜4枚程度、自由記載）
・レポートには、⑤と⑥の双方向コミュニケーションのテーマに関する自分の意見・提案を記載すること。
・講義中の発言はその旨記載すること（講義中の発言は加点対象とする）
・レポートは①〜③に関して１報、④〜⑥に関して１報とし講義最終回後に提出する。

特になし

特になし