14717 items found.
This class is designed for students to participate in actual planning of SBC (Student Build Campus) which is located in East area of Miraisozo-juku project, north of SFC.
Students will make furniture for House 2 or presentation hall which construction will start in this semester and oversee the holistic idea about SBC.
A guest instructor will be invited to teach practical fabrication.
Fumihiko Maki (1928-), recipient of numerous international awards including the Pritzker Prize, is one of the world's foremost architects, universally acclaimed for his long-standing design activities and his work. He has designed not only our campus, but also many buildings at Keio University, most notably the libraries in Fujisawa, Mita, and Hiyoshi. In Japan, he has been awarded the AIJ Prize twice, and his many works include the Tokyo Metropolitan Gymnasium, Makuhari Messe, and Yokohama City Hall, but it is his international activities and reputation that deserve special mention. He has also been recognized as a practical theorist who introduced Japanese architectural thought to the world. His ideas, which place Japanese cities and their spatiality in the context of the global trend of modernism since the Edo period, have attracted worldwide attention from the perspective of the conflict between localism and globalism in the environment. His work has been highly acclaimed and has been invited to design buildings that symbolize the region and the era around the world, including the WTC site in New York, MIT Media Lab, Bihar Museum in India, Singapore Institute of Technology, the Aga Khan Foundation London Headquarters, and Shenzhen World Culture Center.
Keio University SFC has received a donation from Mr. Fumihiko Maki of valuable materials such as sketches, drawings, models, photographs, manuscripts of his writings, publications, correspondence, etc., which he owned and kept in his possession, and has decided to collect, organize, store, and collect them for future use in research and educational activities both inside and outside Japan. We have decided to collect, organize, store, and collect these materials and to make them available to the public through exhibitions and data for future use in research and educational activities in Japan and abroad. The "Fumihiko Maki Archive Room," located on the renovated fourth floor of the Media Center, which overlooks the entire SFC space designed by Mr. Maki, will not only display and introduce to visitors from around the world the architectural works of Mr. Maki, who has embodied the educational philosophy of Keio University, but will also serve as a historical research resource for current and former students as well as for the public. The aim is to create a digital archive that can be used not only by current students but also by people from all over the world as a historical research resource. We plan to collaborate with the Keio University Art Center, Keio Museum Commons, and the Center for Integrated Research on Digital Media and Content at Keio University in order to create multifaceted and cutting-edge digital content that goes beyond the mere creation of image data.
This class is designed to help students understand the international trend of urbanism and the historical significance of design activities through the works and footsteps of Mr. Fumihiko Maki, and at the same time, to make the creation of analytical results itself a learning opportunity as a teaching material in which elements and applicable specific knowledge that those studying architectural design should master are accumulated. The course provides a practical learning process about the philosophy of Fumihiko Maki, who advocated humanism in architecture, especially for students who aim to study and research architecture and urban design, utilizing the international trend of urbanism and the position of holding valuable materials on the works and philosophy of the architect Fumihiko Maki.
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。
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.
This class is designed for students to participate in actual planning of SBC (Student Build Campus) which is located in East area of Miraisozo-juku project, north of SFC.
Students will make furniture for House 2 or presentation hall which construction will start in this semester and oversee the holistic idea about SBC.
A guest instructor will be invited to teach practical fabrication.
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. This class adopts the "My Seminar" format, in which two or three alumni are invited as guests, and the students are divided into groups to work on group projects based on themes conceived by the alumni. 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 residential education and research happening at the SBC.
Access the following url, so that you can understand what kind of themes we will go with for the next semester.
[https://docs.google.com/document/d/10w6aCC-q3SnQqfA6mRF3A7Zlw-Bgt-qzR9pRtgjKol0/edit#]
Unlike "building" as an existence and "construction" as an activity, "architecture" is an idea and a concept. If the consciousness of artificial work on the environment is the origin of architecture, it is rather natural that it is the most primitive intellectual creation act of mankind, and that it is a comprehensive and boundary existence that has corresponds with all areas. Currently, the research subjects and activity areas that architecture should deal with are dynamically expanding and merging due to various factors such as social changes, progress of computerization, and needs for coexistence with the natural environment. Today, the ability to cooperate with other fields in various aspects, from aspects such as urban development planning to devising construction technology, is necessary for a practical experience in the field of architecture, . In SFC, "architecture" is not fixed or dogmatic, but exists as a common item of creative and comprehensive intellectual activities across faculty members with various areas of interest. On top of that, in order to acquire the ability to carry out this on a realistic social system, the students will get review on their project of "architecture" that is being tackled from a different approach depending on each research theme. The purpose is to acquire the ability to expand the architectural domain and realize the fusion with new fields by exchanging it in and comprehensively verifying it from the viewpoint related to the practice of architecture.
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。
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. This class adopts the "My Seminar" format, in which two or three alumni are invited as guests, and the students are divided into groups to work on group projects based on themes conceived by the alumni. 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 residential education and research happening at the SBC.
Access the following url, so that you can understand what kind of themes we will go with for the next semester.
[https://docs.google.com/document/d/10w6aCC-q3SnQqfA6mRF3A7Zlw-Bgt-qzR9pRtgjKol0/edit#]
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.
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.
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.
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.
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.
In this lecture, data security will be explained from a conceptual, technical, operational and policy perspective. The concept section provides the value of data and the concepts of security goals such as confidentiality, integrity, and availability. The technical section focus on cryptographic theory and key management and deepen the understanding of the basic technical terms and their understanding. The operation section provides actual examples in public systems, financial systems and control systems, which are examples of social implementation of data security. The policy section provides an overview of the latest status regarding data security in Japan, the United States, and Europe.
In this lecture, data security will be explained from a conceptual, technical, operational and policy perspective. The concept section provides the value of data and the concepts of security goals such as confidentiality, integrity, and availability. The technical section focus on cryptographic theory and key management and deepen the understanding of the basic technical terms and their understanding. The operation section provides actual examples in public systems, financial systems and control systems, which are examples of social implementation of data security. The policy section provides an overview of the latest status regarding data security in Japan, the United States, and Europe.
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. Specifically, we learn the concepts of virtualization technology used both in networking and computing, and the concept of API called via network, and design theory and technology to realize optimum design in building services Learn about choice through practical training. Since it is a lecture including practical training, it is a prerequisite that you have acquired basic knowledge of computer use and basic knowledge on network and OS.
Through this lecture, we aim to develop human resources capable of responding to the construction of service infrastructure of the future and utilizing it as a weapon for the goal to achieve ICT technology.
■ Intended Attendee :
- Students who are interested in building services using networks and computers
- Students who want to learn service infrastructure construction technology using software
- Students who want to learn the design theory of future service construction
- Students who are interested in building an infrastructure for data collection and big data analysis in IoT
- Students who are interested in cloud computing
- Students who are interested in using ICT technology to revitalize various fields
The purpose of this course is to explore the possibilities of new artistic expression based on big data and artificial intelligence in a society where the Internet is a prerequisite.
Daito Manabe, one of Japan's leading media artists, will be invited as a special guest professor, and through a practical classroom format, we will develop and propose short video works or compositional techniques. The class is mainly a workshop format, focusing on the development of ideas and prototypes in group work, scriptwriting and video production through the application of digital technology.
Students give presentations at each stage of the class, and the professors including Daito Manabe, will review and give feedback. In this year, we will focus on the digital technologies especially in-ear electroencephalogram (EEG), and work on visualization and signification of the data using machine learning programming etc.
The professors and invited guest speakers will give lectures on how new digital technologies can be disseminated to the world, as well as the possibility and importance of addressing social issues from the perspective of art.
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 is based on the content covered in the "Emergency of Data Driven Society and Strategy" (Hereinafter referred to as the "Basic Course" )(There is no excuse for not knowing the contents of the Basic Course. It is strongly recommended that students take Basic Course.)
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.
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 is based on the content covered in the "Emergency of Data Driven Society and Strategy" (Hereinafter referred to as the "Basic Course" )(There is no excuse for not knowing the contents of the Basic Course. It is strongly recommended that students take Basic Course.)
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.
■ 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 is based on the content covered in the "Emergency of Data Driven Society and Strategy" (Hereinafter referred to as the "Basic Course" )(There is no excuse for not knowing the contents of the Basic Course. It is strongly recommended that students take Basic Course.)
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.
■ 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.
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. Specifically, we learn the concepts of virtualization technology used both in networking and computing, and the concept of API called via network, and design theory and technology to realize optimum design in building services Learn about choice through practical training. Since it is a lecture including practical training, it is a prerequisite that you have acquired basic knowledge of computer use and basic knowledge on network and OS.
Through this lecture, we aim to develop human resources capable of responding to the construction of service infrastructure of the future and utilizing it as a weapon for the goal to achieve ICT technology.
■ Intended Attendee :
- Students who are interested in building services using networks and computers
- Students who want to learn service infrastructure construction technology using software
- Students who want to learn the design theory of future service construction
- Students who are interested in building an infrastructure for data collection and big data analysis in IoT
- Students who are interested in cloud computing
- Students who are interested in using ICT technology to revitalize various fields