この授業では、江戸時代から明治時代にかけて木版印刷された「漢籍」の実物を手に取って観察します。漢籍とは、前近代の中国人が中国語で著した書物を指しますが、そのうち日本で刊行されたものは「和刻本漢籍」と呼ばれます。京都大学には、そうした和刻本漢籍が数多く集められており、この授業では、主に吉田南総合図書館のコレクションを対象として考察します。

　前近代の東アジアにおいて、書物の形式は、写本（手書きの本）・版本（木版を刷って紙に転写した本）の二つが主流でしたが、これらの本は、現在、馴染みの薄いものになってしまいました。書物の歴史は、文理を問わず、人類の知恵の集積の歴史であり、書物は基本的な学術資料です。江戸時代の版本に直接触れることは、基本的な学術資源に触れることを意味します。そこに載せられているテクストや図版のみならず、一冊の本が生み出された時代や場所、製作手法、流通や受容を知ることを目指します。

　古い本は貴重な文化財でもあります。手を清潔に洗って、教室に来てください。

・本（和本・線装本）の取り扱いと見方を習得する。
・書物とは何か、本とは何かを理解する。
・研究した成果を口頭発表するスキルを身につける。

1. イントロダクション：和刻本漢籍について
2. 和刻本漢籍に触れる際の注意点
3. 和刻本漢籍の基礎知識（１）
4. 和刻本漢籍の基礎知識（２）
5. 実習*（１） （*実習は、漢籍の実物に即して、書誌学的な記録を作成するものである。方法は授業中に指示する。以下、同様。）
6. 実習（２）
7. 実習（３）
8. 日本にとって漢籍とは何だろうか
9. 実習（４）
10. 実習（５）
11. 実習（６）
12. 実習（７）
13. 研究発表（１）
14. 研究発表（２）
15. フィードバック

特になし

・授業への主体的な参加：60％
・個別発表：40％

＊「個別発表」について：この授業の第13回・14回に、「研究発表」を予定しており、受講者は、「実習」で取り上げた漢籍につき、一人一点選び、独自の観点から15分程度の発表をおこなうものとする。事前に、スライドかプリントを準備し、教員及び他の受講生の前で、口頭発表をおこなう。

・あらかじめ、紙のノートと鉛筆（シャープペンシル不可）を準備しておくこと。それらを毎回、授業に持参すること。
・実習の記録をノートすること。
・各自の研究発表に向けて、問題意識をもって取り組むこと。
・以下のマニュアルの内容を理解しておくこと。
https://www.kulib.kyoto-u.ac.jp/mainlib/wp-content/uploads/img/service/guide_japanesestylebooks_jpn.pdf

　

We are going to read scientific papers related to important/frontier topics of Earthquake Science. The purpose is to understand the key-message of the paper, rather than the detailed technical background. To facilitate understanding, some materials/vocabulary in Japanese will be provided during the seminar.
日本語のキーワード等もだしますので、遠慮なく参加してください。楽しく最前線の科学の面白さを学びながら、英語の能力も向上しましょう！

The student will become familiar with current important topics of Earthquake Science. The seminar also aims enabling the student to discuss earthquake related research topics in English.

Each student is going to choose a paper in the field of Earthquake Science, and prepare a short report (few PowerPoint slides), summarizing the main ideas of the study. The paper can be chosen freely; some broad suggestions include:
- Megathrust earthquakes: physics and possibility of prediction;
- Tsunami: physics and early warning;
- The deep structure of the Earth 'illuminated' by seismic waves;
- Earthquake disaster prevention;
- Earthquake simulations and laboratory experiments;
- Artificial intelligence (AI) in Earthquake Sciences.

The 1st class will give students some broad options of topics/papers. During the 2nd class we will decide the paper that each student is going to present. I will exemplify with a research presentation during the 3rd and 4th classes. Starting with the 5th class until the 14th class each student is going to present the chosen paper and get feedback for improving his report. In the examination day, each student should present briefly his updated/revised report. The feedback class (i.e., the 15th class) will inform students about their overall performance and provide some concluding remarks.

Depending on the number of students and available time, during some of the classes we will visit the underground seismic base isolation at the "Kyoto University Clock Tower", go to the nearby Hanaore Fault and visit the Disaster Prevention Research Institute (DPRI), Kyoto University (Uji campus), to discuss with specialists in the field.

For students interested in more advanced topics, including computer programming (in Python, C/C++, Matlab, Fortran or other computer languages) for Geosciences, I can provide additional materials and guidance.

特になし

Grading will be based on attendance and participation (60%) and presentation of chosen paper (40%).

The student will have to prepare the assigned paper.

- Students can meet me during office hours with prior appointment.
- Since we may go outside the campus during the class (see "Course schedule and contents"), I advice students on taking accident insurance (e.g. Personal Accident Insurance for Students Pursuing Education & Research).

● New discoveries and problems arise constantly in theoretical
physics.

● We will discuss about the latest achievements, puzzles in the
class.

● We will then read each week a couple of recent papers appeared
on “Scientific American” of the subject of astronomy, cosmology,
theoretical physics or experiments in particle physics.

● Students are given a paper to discuss for the next week.

● The students will be divided into groups and will answer
some questions regarding the paper.

● Each of the groups in turn will report their answers to
everyone else.

● Students will develop critical thinking in a friendly environment.

● The point is to understand and think about the message which
lies at the core of each paper.

● The discussion session will then be an arena to develop
students’ skills to create their own scientific ideas.

● Students will be stimulated to have opinions, comments,
criticism, questions.

● 14 lectures per semester, no midterm/final exam.

● For each lecture papers will be given to students to read for the next week.

● Students are supposed to read the paper and prepare for the next week.

● Some papers are freshly new papers [from the latest issues of Scientific Amerrcan], others are from previous years.

特になし

● The method of evaluation merely comes from the interaction, participation and discussion in class.

● The students will be given a paper to read a week before class.

● Students are then supposed to learn the material [inside each paper] and be able to present to others, to discuss its content with others, and to answer questions regarding the paper itself.

In order to design practical and effective development plans and policies, it is essential to deeply understand local communities. In order to understand the voices and thoughts of communities, qualitative research methods will enable us to gain a deeper understanding of reality and everyday life. This is from the perspective of common people, from their own words and viewpoints. It brings voices to the voiceless and hears the unheard. This is a bottom-up approach.

Qualitative research is not only a science but also an art. During this course, we will learn the art and science of qualitative research methods. We will learn the basics of conducting qualitative research by discussing with each other, observing our university campus and fellow students, and reading articles. In this course, students will gain a basic understanding of qualitative research methods by completing practical exercises, conducting field surveys, and analyzing field data.

The main objectives of this seminar course are as follows:

1. This course will teach you how to conduct interviews, hold group discussions, and analyze photographs and documents.

2. The purpose of this course is to learn how to select research fields, decide on samples, and collect data from interviews, observations, photographs, and texts.

3. Learn how to analyze and present those data scientifically and aesthetically by coding, decoding, phasing, and paraphrasing.

Week 1: Introduction
- Understanding the basic concepts of qualitative research.
- Why study qualitative research methods.

Week 2: Designing qualitative studies
- Filed Survey and Data collection decisions.

Week 3: Sampling
- Sample size
- Sampling strategies and options.

Week 4: Fieldwork strategies
- Rapport building techniques.
- Pilot survey techniques for knowing the fields.

Week 5: Techniques Of Data Collection
- Interview
- Observation
- Oral history
- Photography

Week 6: Data Collection from Observation, Photography, and Interview
- Collecting data within the university and among familiar individuals.

Week 7: Data Collection Training and Experiment on University Campus

Week 8: Discussion and class meeting on the challenges of data collection faced by the students.


Week 9: Recording data
- What to record
- Note-taking practices when doing fieldwork.
- Converting field notes into fuller notes.
- Keeping Notes.


Week 10: Data Analysis
- Codes and decoding
- Types of code
- Reading the data and extracting codes

Week 11: Data Coding practice for data analysis

Week 12: Presenting the results
- Graphic and pictorial presentation techniques.
- Displaying qualitative data.
- Making good use of photographs.

Week 13: Writing a Qualitative Data
- Encoding our writings.
- Quotes in our writings.
- Overall structure.

Week 14: Composing research, to share it with others.
- Composing qualitative research.
- Reworking your composition.

Week 15: Final Presentation and report submission

Week 16: Feedback

特になし

Evaluation will be based on
- Active participation (30 points).
- Field survey practice (30 points)
- Report Writing (20 Points)
- Presentations (20 points).

Assignments and report presentations will be assessed on the basis of achievement level for course goals

A field survey will be conducted in order to gain a better understanding of the situation.

As a group or individually, students will work on small projects or existing case studies on campus to gain practical experience in qualitative research methods. The students will present the results of their projects and discuss them with their teachers and fellow students.

The course with experiments or offered outside of the campus, state on the taking out accident insurance of Personal Accident Insurance for Students Pursuing Ed. & Rsch. as needed.
Field Surveys will be conducted within the campus.

Solving current societal issues demands integrating ideas and taking a multifaceted approach. Integrating engineering, biology and medicine, this seminar aims at introducing students to multidisciplinary approaches to understanding and/or solving complex issues in biology, medicine and/or engineering. Discussions will be centered on understanding multidisciplinary approach toward solving the said problem by integrating knowledge and concepts from various disciplines (science, engineering and/or medicine).

To nurture interests in knowledge integration from diverse scientific disciplines.
To learn how to integrate knowledge and concepts toward application to solving complex open-ended questions in biology, medicine and/or engineering.

This seminar will tackle selected topics related to application of engineering principles and knowledge to solving clinical problems, and/or elucidating known and unknown biological phenomena. Besides discussions, students will have opportunities to make some short presentations on topics of interest. Topics might be flexibly changed based on our interests.

1) Recent exciting discoveries in science (3 weeks)
We will begin the discussion series by exploring ground-breaking discoveries in science and discuss their impacts on the society. Through this session, we will learn how to obtain fundamental knowledges from scientific articles.

2) Engineering in biology (3 weeks)
We will explore the convergence of biology with engineering that have enabled the manipulation, analysis and detailed study of living systems including biomechanics, tissue engineering, sequencing technologies, and other biotechnologies. Through this discussion, we aim to create a map that provides an overview of the field of bioengineering.

3) Engineering in medicine (3 weeks)
We will discuss trends in medical engineering and specific application in areas such as drug development, surgical tools, visualization technologies, and other medical technologies. To facilitate this discussion, we will think about some clinical case stories in medical situation.

4) Emerging areas in engineering for biology and medicine (3 weeks)
Rapid advances in science in recent years have led to revolutionary developments in the fields of medicine and biology. One such technology is "in silico" technologies such as AI and computational simulation. Here, we will discuss the emerging trends of "in silico" technologies in biology and medicine, and present some of their potential applications.

5) Student presentations and lecture review (2 weeks)

6) Feedback (1 week)

None in particular. The seminar will be discussion-based.

Attendance and class participation 60%, Discussions and presentations: 40%

Prior reading of scientific papers on topics to be discussed is recommended to enhance understanding.

Office hours will be announced during class hours.

This course will take a case study approach to regional disasters. The course contents will include learning of basic soil mechanics to determine the mechanism of failure of naturally occurring slopes. Such knowledge can be extremely valuable to inform future design. This will be supplemented with analysis of state-of-the-art research on disaster prevention technologies.

The course is intended to be a deep-dive into specific disasters like slope failures under heavy rainfall conditions, breakwater performance under tsunami impact etc. To this end, the course will introduce a few fundamental concepts in soil mechanics, engineering geology, hydraulics of groundwater as well as natural hazards. Along with such technical tools, students will also be introduced to the frameworks of vulnerability, risk assessment and disaster management.

After the successful completion of the course, students will be able (1) To understand fundamental physics concepts related to particular disasters, (2) to understand basic forensic analysis, (3) to analyse specific state of the art disaster mitigation technologies and (4) to perform basic vulnerability and disaster risk assessment.

The class in the first week will provide an overview of the contents of the course. As a general outline, the necessary concepts required to understand the basic mechanism of a particular disaster will be highlighted. Following this, students will work individually or in teams to analyze relevant case histories/experimental studies/research papers assigned to them. Students are expected to clearly (a) identify the problem (b) explain the failure mechanism or any other relevant result using the concepts taught and (c) provide critical comments wherever possible.

An indicative schedule for the course is as follows
(1) Introduction and highlights of case histories/experimental studies/research papers [1 week]
(2) Fundamental concepts related to regional disaster - 1 [3-4 weeks]
(3) Development of a numerical tool in MS-Excel for assessment of stability of naturally occurring slopes [2-3 weeks]
(4) Fundamental concepts related to regional disaster - 2 [2-3 weeks]
(5) Analysis of case history/experimental studies/research papers - 2 [2-3 weeks]
(6) Understanding vulnerability: political, physical, social, economic and environmental factors [1 week]
(7) Disaster risk identification and assessment [1 week]
(8) Final presentation [1 week]
(9) Feedback [1 week]

Total: 14 classes and 1 feedback session

Beneficial but not mandatory: basic mathematics and physics (high school level). Students must be willing to work with basic mathematics.

- Class participation (30%)
- Assignment report (30%)
- Oral presentation (40%)

Students are expected to be independent in finding online resources to attain relevant issues of discussion during seminar to enhance student interaction and understanding during classes.

After class, student consultation will be arranged with prior notice.

Computer simulations play an important role in the process of scientific discovery, complementing theory and experiments. In this seminar course, the students will learn how to code computer simulations in Python to investigate problems of great biological interest. For example, we will study how populations of prey and predators change over time in a given ecological system, understand how bacteria search for food around their environment, and predict the spread of epidemics. The course is structured as a series of tutorials (as Jupyter notebooks) where students implement a model for a given biological system and run simulations to learn more about it. In the final project, students will investigate a problem of choice, and present their results for the final evaluation.

To be able to program computer simulations using the Python programming language.
To understand how models are routinely used to in biology.
To learn about the process of scientific discovery: how to ask your own questions and design your own "computer experiments" to give an answer.

Schedule (may be subject to change, some topics are covered in multiple classes):
- Introduction to the course
- Programming in Python
- Chemical kinetics
- Predator-prey population dynamics
- Epidemiology
- Final project
(Total:14 classes and 1 feedback)

Course open to all students. In order to practice with coding, each student should work on a laptop during classes.

Class attendance and active participation (50%), final project and oral presentation (50%)

If conditions permit it, in one or more occasions students will be divided into small groups to work together on a project.

Please feel free to come to my office at any time, or to send an email to brandani@biophys.kyoto-u.ac.jp

Addictive disorders like drug and alcohol dependence, internet addiction, and gambling disorders are a widespread problem affecting millions of people in Japan and across all cultures. Nearly everyone knows someone affected by addiction, from "kitchen drinkers" and methamphetamine use disorders, to video game and shopping addiction. This course is designed to help students understand why people become addicted, problems associated with addiction, and how people can recover from addiction. This course will provide students with an understanding of how addictions develop and how they are maintained. Students will gain knowledge in the biological, psychological, and social factors of addiction. Then, they will learn about distinct types of addictive disorders. Further, students will gain knowledge in the methods of identification and behavioral concepts in addiction recovery. At the end of the course, students will understand how addictions are conceptualized and the processes involved with behavior change.

To gain basic knowledge of problems associated with addiction
To learn about the biological, psychological, and social factors of addiction
To understand the ethics considered in addiction
To understand the psychological concepts of addiction recovery

1. Addiction Background and Prevalence
2. Neurobiology of Addiction
3. Psychology of Addiction
4. Social Influences of Addiction
5. Substance Use Disorders (Alcohol and Drugs)
6. Behavioral Addictions (Technology and Gambling)
7. Assessment and Diagnosis
8. Laws and Ethics
9. Punishment and Rehabilitation
10. Clinical Access and Referral
11. Cognitive Behavioral Concepts
12. Motivational Interviewing, Support Groups, and Relapse Prevention
13. Presentations I
14. Presentations II
- Feedback

特になし

40% - Group Presentation
30% - Short Personal Reflection Paper
15% - Quizzes
15% - Class Participation

Students are expected to complete assigned readings and assignments before class.

Students may contact the instructor if they have questions and they may schedule an in-person appointment by email.

Amazing superconducting materials are one kind of substance exhibiting zero electrical resistance and magnetic exclusion at certain conditions. They can be metals, ceramics, or organic materials. This course will introduce the superconducting properties (including discovery, phenomena, elementary properties), superconducting materials (conventional and high temperature superconductor), and superconductor applications. It is intended to equip students with a basic understanding of superconductivity, characteristics of various superconductors and advantage of applications. It also aims to encourage students to do active conversation about scientific concept in English.

This course aims to equip students with a basic understanding of the superconducting materials. By the end of this course, students will: (1) Understanding the fundamental phenomena and features of superconductors. (2) Explain the basic superconductivity in qualitative terms. (3) Recognize major superconducting materials and their applications. (4) Discuss current challenges and future directions in the field.

The number of lectures as shown in【】.

1.Discovery & Fundamentals【2】
Magic of superconductivity
Discovery & exploration
Classification

3.Phenomena & interpretation【5】
Zero resistance & perfect conductivity
Magnetic flux repulsion & penetration
Critical magnetic field
Electrons pairing & tunnelling
Superconductivity at high temperature

4.Superconducting materials【4】
Elements and alloys
Cu-based oxides
Fe-based compounds
Hydrides
Characterization techniques

5.Applications & frontiers【3】
Superconducting magnet
Sensitive magnetic detector
Energy storage and transmission

6.Feedback【1】

特になし

Class attendance and participation (60%)
Homework(20%)
Presentation and discussion(20%)

Students are expected to participate in the conversations and presentations in class. Their own laptops (or iPad, smartphone, etc.) can be used to search for references and information during discussion sessions. It is around one hour to complete the assignments after class.

This seminar introduces various fascinating aspects of chaos. While “chaos” often has the connotation of something complicated and uncontrollable, we will see that chaotic behavior can emerge from seemingly simple situations. We will discover that chaos can be, in its own way, very ordered. Perhaps even more surprisingly, chaos can actually be a source of stability. Along the way, we will familiarize ourselves with some of the necessary mathematical tools to describe chaotic behavior. Finally, we will discuss where chaos occurs in physics and everyday phenomena. Throughout the seminar, we will perform several simple experiments on a computer and learn to recognize chaotic behavior.

-　Understanding the connection between non-linearity and chaos.
-　Becoming familiar with the basic mathematical theory of chaos.
-　Recognizing chaotic phenomena in daily life and physics.
-　Being able to write simple computer programs to visualize chaotic behavior.

Week 1-2: Dynamical systems and phase-space description.
Week 3-6: Using the Julia programming language to visualize dynamical systems.
Week 7-9: Bifurcations: the route to chaos.
Week 10: The Lyapunov exponent: chaotic or not?
Week 11-12: Self-similarity and Feigenbaum constants: order in chaos.
Week 13-14: Chaos in physics.
Week 16：Feedback

Basic programming skills and knowledge about basic physics (mechanics) are helpful but not required. Students should be familiar with high-school level mathematics (algebra and calculus).

The students will be graded based on their participation in class (30%) as well as worksheets and programming assignments (70%). Students will need at least 60% in total to pass.

Students will occasionally have to complete assignments or simple programming exercises.

Office hour: Wed. 15:00-16:00