2774 items found.
本科目は鶴岡工業高等専門学校との単位互換科目です。2022年度シラバスを以下のサイトからご参照ください。https://www.tsuruoka-nct.ac.jp/gakka/syllabus/
※ 履修にあたっては、keio.jpのニュース（【総環】鶴岡工業高等専門学校、山形大学農学部設置の単位互換科目履修について）を確認するようにしてください。
本科目は鶴岡工業高等専門学校との単位互換科目です。2022年度シラバスを以下のサイトからご参照ください。https://www.tsuruoka-nct.ac.jp/gakka/syllabus/
※ 履修にあたっては、keio.jpのニュース（【総環】鶴岡工業高等専門学校、山形大学農学部設置の単位互換科目履修について）を確認するようにしてください。
本科目は山形大学農学部との単位互換科目です。2022年度を以下のサイトからご参照ください（4/1更新）。https://www.yamagata-u.ac.jp/gakumu/syllabus/2022/home.htm
※ 履修にあたっては、keio.jpのニュース（【総環】鶴岡工業高等専門学校、山形大学農学部設置の単位互換科目履修について）を確認するようにしてください。
本科目は山形大学農学部との単位互換科目です。2022年度を以下のサイトからご参照ください（4/1更新）。https://www.yamagata-u.ac.jp/gakumu/syllabus/2022/home.htm
※ 履修にあたっては、keio.jpのニュース（【総環】鶴岡工業高等専門学校、山形大学農学部設置の単位互換科目履修について）を確認するようにしてください。
本科目は山形大学農学部との単位互換科目です。2022年度を以下のサイトからご参照ください（4/1更新）。https://www.yamagata-u.ac.jp/gakumu/syllabus/2022/home.htm
※ 履修にあたっては、keio.jpのニュース（【総環】鶴岡工業高等専門学校、山形大学農学部設置の単位互換科目履修について）を確認するようにしてください。
本科目は国際基督教大学との単位互換科目です。シラバスは以下のURLからご参照ください。https://campus.icu.ac.jp/public/ehandbook/PreviewSyllabus.aspx?regno=10325&year=2022&term=1
※ 履修にあたっては、keio.jpのニュース（【総環】 国際基督教大学単位互換科目の履修について）に記載の手続きが必要です。期日までに申請を行っていない場合、履修は許可されません。
In this course, students will learn basic theories of mental health and their application to the environment.
Regarding basic theories of mental health, they will learn acquisition and maintenance of behavior, relation between behavior and health, mechanisms of stress, interpersonal behavior, and motivation.
Regarding application of health science to environment, they will learn human ecology, suicide prevention, occupational mental health, information environment and health, health support during disaster, and life course epidemiology.
Today's society is undergoing rapid globalization, diversification of values, and other changes at a remarkable pace. In such an environment, it is important to respond quickly to change, and to do so, it is necessary for each individual who catches information to make his or her own judgment and take independent action, rather than waiting for instructions from the top. Coaching is an effective method of developing such abilities, and is being introduced in many universities and business schools in the United States and elsewhere. In this course, students who will be the leaders of the next generation will learn and master coaching techniques through their own experiences in order to develop the abilities of the people around them and create a strong organization.
The Student Built Campus (SBC) project began in Spring 2015 as part of Keio University’s new campus-planning project 'Mirai Sozo Juku (Institute for Designing the Future)' aiming to develop a new residential education and research environment created by the students, faculty members, administrative staff and alumni of SFC.
The goal of SBC is to realize a future model of the university campus in a world where various resources, such as knowledge, technology, and people, are integrated. This new network will redefine notions of 'study' and 'education' in the 21st Century.
The 7 classes in this semster are concentrated in the first quarter. We learn about the concept of 'Mirai Sozo Juku' and SBC and understand how 'learning', education', 'university' and 'communication' are to be in the context of current society.
Students are expected to understand what are SBC and Mirai Sozo Juku pursue, and acquire idea and method of learning and managing new education and projects which can be available by future university's residential education and research happening at the SBC.
■ Outline of this course
Whether you are going to do some kind of business or go into the company, data-driven analytical problem-solving skills and hands-on understanding of data utilization are essential in the days ahead.
This course aims to develop minimum data literacy to survive in this data-driven age for the students with at least 10th-11th grade mathematics skill and basic familiarity of Excel, on the assumption that they do not have much experience in data analysis and utilization.
Classes will be conducted interactively as much as possible. We will invest a considerable amount of time for each homework review and answers to the questions received in a weekly questionnaire.
■ Skill that aims to be acquired
- Perspectives on data-driven society
- Appropriate understanding of various related buzzwords
- Basic skills to extract implications of data
- Basic skills to avoid being deceived by data
- Basic skills of data handling and quantitative analysis
(Note) It is not a course to nurture experts in information science and big data processing
- Natural language processing
- Image processing
- Machine learning
- Data infrastructure construction
- Real time processing, etc.
■Expected outcome
Learns the power and fun of data
Acquire the practical basis of science and data-driven thinking
Becoming able to get the some implications when encounters with a data related news
■Tools to be used
Excel (required)
Powerpoint (optional but preferred to use)
MySQL (optional)
R (optional)
Python (optional)
■(Reference) Comments from past students (excerpt)
I wish I had encountered such a wonderful class sooner.
"The data analysis was so deep that I had a hard time following it. "Data analysis was deep and I had to work hard to keep up with it, but it was definitely the most passionate and interesting class of any SFC course.
"I suffered a lot, but the more I suffered, the more I could see and the more I enjoyed it.
It was the lecture that made me feel I had grown the most since I entered university.
"It fundamentally changed the way I think about data."
"This was the class I was looking forward to the most this semester, and I was very satisfied with the content, which far exceeded my expectations.
"It was one of the most interesting classes this semester. "It was one of the most interesting classes this semester. Both the lectures and the exercises were interesting and useful, and I enjoyed them.
"It was a really tiring class, but I can say with pride that it was the half year that I grew the most.
"This is definitely a course that all students should take as a required data science course in the spring of their freshman year, and I wish this course had been offered earlier.
I wish I had taken this course sooner..." "Thank you for all 14 sessions plus the supplementary lectures. The assignments were difficult, but it was great to hear interesting and White things each time. My attitude toward data has definitely changed.
"Before, I thought it was important to master how to use the tools, but through the class, I realized that it is more important to find out the essential things such as how to understand the problem. It was a very meaningful time and I enjoyed the lecture.
This was the most stimulating course in my three years of university life, and I was able to take it while thinking concretely about making analysis my career. Thank you very much.
"I am sad that this is the end of the class. I am sad that this is the end of the class, I want to take the advanced class. I'm sad that this is the end of the class.
"Although I sometimes slacked off, I feel that my self has become more patient and positive about the assignments throughout the six months. I have never been assigned such a difficult task before, but thanks to the enthusiastic classes given by Mr. Ataka and the other students, I was able to finish the fall semester without giving up, even though I would have given up in the past. Thank you very much.
I can't thank you enough for this class, which has given me a really valuable experience that I can't get at other universities. There are almost no other classes at SFC that have the same level of depth of content as this class, and I can say that this class was by far the most rewarding class I have ever taken. Thank you very much for the whole semester.
"Although I had some experience in data analysis, I was reminded of many things in each lecture.
"Thank you for the very intensive lectures! What is data-driven? What is data-driven and why is it necessary? I enjoyed learning analysis and problem solving in a practical manner, as both input and output were carried out, from the lectures that focused on the big picture, such as "What is data-driven? I will keep this way of thinking in mind and do my best to get ahead in my 20s.
Thank you for the fun classes. I thought we were just going to do data analysis, but it was very fruitful to hear about the theory that I didn't know before. I would like to make use of it in the future." "I was able to learn a deeper layer of knowledge that does not end with the use of tools.
Whether you are starting a business or joining a company, it is essential to have a skin-deep understanding of data-driven analysis, problem solving, and data utilization in the future.
This course is designed for those who have a basic background in analytical thinking and data literacy (assuming that they have already digested the contents of Data Driven Basics), but do not have much experience in data analysis and data utilization. Through this course, we aim to help them acquire the basic data literacy and the ability to think with data in order to survive in modern society.
In this course, students will learn the basics of machine learning by adjusting their own data.
This course is designed for students who have completed the Basic Course, and is based on the content covered in the Basic Course (there is no excuse for not knowing the content of the Basic Course. (There is no excuse for not knowing the contents of the basic course. Only students who have completed the basic course will be accepted.)
This is not a course to train experts in information science and big data processing.
-Natural Language Processing
-Image Processing
-Machine Learning
-Data infrastructure construction
-Real-time processing, etc.
★Intended Audience
- Rather than information science geeks, people who really want to make a difference in the world through analysis and data utilization.
- People who want to understand how data and analytics are useful in this world and want to acquire the basic skills to do so.
- People who want to learn firsthand about the relationship between problem solving, decision making and analysis.
People who have tried various types of analysis in the past, but do not understand the points that create value.
★(Reference) Comments from past students (excerpt)
- Thank you very much. Thank you very much for the whole year. It was the best class.
- It was a great class. "Mr. Ataka's giver's attitude had a huge human impact on me, more than the content of the class. The deep insightful feedback on what we were thinking was the best thing that ever happened to me as a student. Thank you very much. Not only me, but I am sure many other students were ignited by the lecture.
- I learned how to live as a businessman from his various talks. I learned a lot about how to be a businessman from his various talks, and I feel I had a great time experiencing how to be a professional.
- I am convinced that the ICT industry will create wealth.
- Since I started the course last semester, it has definitely been the hardest course I have taken in my three years of college. The weekly assignments were really tough and often took me until midnight. However, looking back on it now, I think that the experience of struggling with my own hands became my flesh and blood, and I have learned a lot from it. I'm really sad to see it end, because the data-driven class has been indispensable to me for the past year.
- Thank you for the year! I would like to see this class made into a book or video! Please consider it.
- I will do my best in the future so that in 5 or 10 years, I will be glad that I drove all the way to SFC to give this lecture.
- In addition to teaching me how to prepare for and handle data, this course gave me the opportunity to think seriously about how I will live my life and what I will accomplish while I am still in my 20's. I am glad that I took this course.
- I've taken all kinds of classes at sfc over the past four years, but I think the data-driven class is one where you can learn as much as you can through trial and error and worry. It has changed the way I look at the world.
- If I hadn't joined sfc and taken this course, I would have never learned so many things. I would like to change the world in an interesting direction so that people will think that I was glad to have lectured at that time.
- I will continue to work hard on my studies and job hunting so that I can build a career in which I can be involved in the field of data handling. I had a really meaningful time here. It was very stimulating every time! I strongly recommend that younger students take this course as well.
This subject is complementary to other existing courses that tackle issues related to design. Thus students across all three faculties and the graduate schools will find this course applicable to them. Since SFC aims to prepare students to engage all kind of issues related to the society, Ergonomics will be a good addition to the knowledge of the graduates.
This subject is a descriptive one. Explains in photos, animation and drawings the basics of both mechanical and materials engineering. No mathematical complications will be included. This subject is beneficial to all students especially those who are studying issues not related to engineering but will work in future in an Engineering Firm be it a maker or sellers of machinery or materials. Even those who may not work in such an environment, this subject will be helpful for them in their daily life when dealing with machines and materials.
In the era of data-driven economy, AI technology has been deployed in practice over the world by large-scale digital platformers such as Google and Amazon. Other industries and applied areas will also practically take advantage of the AI in the near futures.
In order to utilize full potential of information and communications technologies (ICTs) including AI for promoting economic growth and addressing various social issues, we need to make human and society to be ready to use the technology, in addition to development of technology itself. Policy intervention is necessary as these goals are hard to accomplish, if solely relying on market competition. Understanding such policies required to support technology will be helpful to predict and take advantage of social dynamics related to new digital products and services that are emerging now and will emerge in the coming future.
This course will provide explanation on relationships between the technologies (AI and data collection and analyses) and society/economy, as well as necessity of policy interventions. The course will also introduce basic knowledges to understand policy backgrounds.
Then we will follow policy case studies in the areas of privacy, safety, open data, competition enhancement, fairness/ethics, promotion of usage, etc., focusing on each policy's necessity, purposes, features and further challenges, with viewpoints of international comparison or international competition.
The goal of this class is to be independent of gender and other categories and to have a personal perspective on how to create a society where all people can live and work while respecting human rights.
First of all, we will check the current situation in Japan from a gender perspective, and encourage students to focus on unconscious discrimination from other perspectives and broaden the students' perspectives.
Service infrastructure for collecting data via networks and constructing computing resources such as IoT and big data is rapidly spreading. This is a service form that has further evolved the infrastructure in which networking and computing have been integrated recently called cloud and is realized by combining software components present on the network and computational resources virtualized by software ing.
Therefore, in this lecture we will review the basics of conventional network technology and computing technology, and acquire elemental technologies of infrastructure built across both fields based on that knowledge.
In this course, students will learn the ecology of the various organisms living in Antarctica. The targeted organisms vary from small terrestrial organisms such as bacteria and mosses to much larger marine animals such as mammals and seabirds. The research approaches also differ depending on the target species, and those include genetic analysis and the bio-logging. Throughout the course, students will gain a basic understanding of the ecology of the Antarctic organisms as well the human activities related the Antarctic science and industries within Antarctica.
Environmental issues in polar regions have been one of the hot topics in global challenges. Throughout the course, students will learn the current environmental issues in both the Antarctic and the Arctic. Topics vary from climate change, human impact, conservation, and management, to bioprospecting. By working in groups and discussing how to solve these problems, students will gain knowledge on the current environmental issues on earth and skills for developing their own ideas toward the sustainable management and use of the natural resources on earth.
India being a diverse country, with a long history and close and strategic partnership with Japan, the course aims to enhance understanding on depth and diversity of India, and would explain the partnership areas of India Japan bilateral collaboration. This will be first of its type of cross-disciplinary course, which will provide a comprehensive overview of the studies related to India. A new laboratory is being proposed in KRI in SFC. This course would be part of the activities of the new laboratory.
Overall three aspects related to India would be addressed:
- Culture, history, art, religion, and language studies
- Development, environment and economic growth strategies
- Science, technology and innovation studies
The course would have a combination of in-house and guest lectures from eminent personalities, who are knowledgeable on different aspects of from different aspects and disciplines related to India. Several lectures would be provided through online presentations from India and elsewhere.
Shoot and submit a video singing one song of your choice.
This class will help you refine your skills to express yourself by singing.
The purpose of this study is expanding the knowledge and improve skills of thinking by analyzing and studying more deeply in singing.
As an introductory course on Ecology, students will learn the ecology of organisms in four selected groups, which are abundant in the surrounding living environment but receive little attention. Throughout the course, students will acknowledge the diverse organisms living in various environments even within the everyday living area, and also gain skills on observing the organisms with their own point of view and presenting their thoughts with their own words.
Social Security System in Japan is quite good, if not perfect, as shown by indexes such as life expectancy and infant mortality rate. This lecture aims to get students to gain deep understandings on its characteristics, advantages and disadvantages, and lessons learnt from experiences of Japan, as well as its social backgrounds and circumstances, and also to provide useful and effective knowledge in order to establish/improve Social Security System in other countries. Each subsystem in Japan (Healthcare, Long-term Care, Pension, Labor Insurance, Public Assistance etc.) will be discussed. Explanation on reaction to COVID-19 will be limited, because it is an ongoing topic.(Amended on March 24 )
This class is designed for students to participate in actual planning and construction of the landscape of SBC (Student Build Campus) . Students will learn the basic and practical landscape design though the practice of field work, site analysis, design, construction and maintenance on the site.
本講座は、建築文化の理解を通じ、物事を多面的かつ柔軟にとらえる視点・視座・視野を身に着け、社会で活躍する人材を育成することを目指している。
担当教員の、雑誌編集や地域振興に実業で取り組んだ実体験を織り交ぜながら行う講義、またファッション・建築といった分野の第一線で活躍するゲスト講師を招いての講義に特徴がある。このことにより単なる知識・教養を身に着けるにとどまらない、より実践的な考え方・方法論を学ぶことができる。履修者には、各事象を自分のこととしてとらえ積極的に授業に参加する姿勢が求められる。
本講座は、次の考えの元構成されている。
・「建築」（Architecture）とは、単なる建物（Building）を超えた次元で成立している。
・その「建築」は、芸術性はもちろんのこと、経済・政治・法律など様々な制約のうえに成り立っており、重要な文化の構成要素であると同時に、社会的な存在である。
・ゆえに「建築」は時代的・社会的な背景や先人の思想等を読み取ることができるメディア（媒体）である。各建築の存在意義を検証し、そこから未来の社会の姿・あり方を構想する。
以上の視点から、毎回テーマに添った講義を行い、建築を通じて社会・文化を学び、問題意識を養い、既存の価値基準に囚われない自由な感覚・発想力を養う。