14717 items found.
■ 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.
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
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.
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.
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.
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.
This course is based on the actual collaboration with Alumni, local area: Endo, and SFC students and professors to draw the design of something innovative to activate our "LIFE: FOOD"itself. Though the course is organized in Japanese, if you have confidence in communicating in Japanese, please come and join us.
Urbanization in the suburbs of large cities and peripheral areas of regional cities has progressed with the extension of roads and railroads and the establishment of large-scale apartment complexes and commercial facilities, and the way of life of local residents has changed along with these changes. While some residents are excited and attracted by the new conveniences, others feel a sense of loss at the changes in their familiar neighborhoods. There are many things that are not known until after a series of developments are completed to determine how each individual feels. In order to gather the voices of local residents and reflect on the new community, we should record how residents felt before the development of the community begins.
Therefore, this course will provide an opportunity to think about the values that residents hold dear through fieldwork and interviews in the area surrounding SFC, where local development is beginning to take place in the near future based on the rail extension project. Through fieldwork, we will also consider whether these values have been adequately verbalized in the local community.
They will also learn about local issues that are recognized by those who plan development and their solutions. Through the experience of learning about development from both sides, students will develop the ability to understand the other party's position and respond accordingly when they are involved in future planning involving local residents.
Theme 1 (first half): Basic theory of recidivism prevention. Learn about the crime situation, the characteristics of criminals, the environment surrounding crime (poverty, developmental disorders, addiction, discrimination, etc.), and an overview of the criminal justice system. In addition, you will learn an overview of the SDGs and how recidivism prevention is positioned within them, as well as what is required of private companies to achieve the goals of the SDGs, and various measures to promote private companies' initiatives ( Learn about ESG investment, etc.
Theme 2: Involvement of the private sector in measures to prevent recidivism, not only the combination of social welfare business + joint stock company by establishing a traditional social welfare corporation (Japanese social firms are this type), but also PFI, PPP (Public Service Reform Act) ), pay-for-success (PFS), social impact bonds (SIBs), crowdfunding, and other methods of implementing functions that have traditionally been carried out by the public sector as private businesses. We will consider how it is being applied to prevention efforts, what challenges there are for development, and what measures can be taken to encourage more private companies to take action.
Over 65 years have passed since the world’s first artificial satellite was launched. The best-known space activities during this period have been for civil purposes, such as operating the International Space Station and planetary exploration initiatives. Furthermore, a number of space-related start-ups have recently emerged in Japan and abroad, drawing attention to commercial space activities.
While space activities for military purposes remain, to a large extent, less recognized than those for civil and commercial purposes, space activities are inextricably linked to military affairs. Thus, it is impossible to grasp the full picture regarding space development and use without understanding space activities for military purposes. Moreover, it is difficult to gain a comprehensive view of military affairs and national security without an adequate comprehension of military space activities.
In parallel, spacefaring nations and other stakeholders have been working on space governance, including formulating international rules so that all players can use space stably. As space systems become indispensable to routine economic and social activities, the importance of addressing space governance is further increasing.
In this context, the course will analyze and discuss two aspects of space security. The first is Space for Security, which looks at how space has been used for military purposes and how it could be used in the future. The second aspect is Security for Space, which analyzes and discusses what kind of space governance has been sought to maintain stable space use and what kind of efforts will be needed in the future.
In this course, you will learn how to plan a project to design community and to revitalize the local community practically through case studies of social innovators. Projects funded by SFC FPPS will be introduced and gest speakers will introduce their activities. You will discuss the possibility of community design, the challenges, the solution and the role of university.
In this course, you will learn how to plan a project to design community and to revitalize the local community practically through case studies of social innovators. Projects funded by Keio alumus will be introduced and guest speakers will introduce their activities. You will discuss the possibility of community design, the challenges, the solution and the role of university.
In this course, you will learn how to promote project design for community development as social innovators.
This course funded by Keio alumnus
You will discuss the potential possibility of community design, the challenges, the solution, and the role of the university.
Students are expected to be those who promote projects in the communities, or prepare the grant from the Keio alumni .
As expected achievements, you will find the solution share them in class.
Following the Coronavirus pandemic, cities around the world have entered an new era in which we must fundamentally rethink methods of urban development that were once considered common sense. What kind of urban future should we envision in the VUCA (Volatile・Uncertain・Complex・Ambiguous) world?
The economy and fabric of cities transform due to various factors, as do their spatial qualities. In this course, we will explore the goals of urbanization, the conditions that shape these goals, and the factors and mechanisms of real estate development. We will investigate the cause of transformations in urban economy and space, citing specific examples of real estate and investment case studies from Japan and abroad.
In addition, we will welcome a professor of MIT who teaches real estate design and a developper in the United States to discuss the future of urban development and consider the future of Japanese cities. At the same time, we will explore the possibilities of real estate design in the post-corona era, considering local values and the rise of the sharing economy.
Following the Coronavirus pandemic, cities around the world have entered an new era in which we must fundamentally rethink methods of urban development that were once considered common sense. What kind of urban future should we envision in the VUCA (Volatile・Uncertain・Complex・Ambiguous) world?
The economy and fabric of cities transform due to various factors, as do their spatial qualities. In this course, we will explore the goals of urbanization, the conditions that shape these goals, and the factors and mechanisms of real estate development. We will investigate the cause of transformations in urban economy and space, citing specific examples of real estate and investment case studies from Japan and abroad.
In addition, we will welcome professors who teach real estate design from Harvard University and MIT in the United States to discuss the future of urban development and consider the future of Japanese cities. At the same time, we will explore the possibilities of real estate design in the post-corona era, considering local values and the rise of the sharing economy.
Following the Coronavirus pandemic, cities around the world have entered an new era in which we must fundamentally rethink methods of urban development that were once considered common sense. What kind of urban future should we envision in the VUCA (Volatile・Uncertain・Complex・Ambiguous) world?
The economy and fabric of cities transform due to various factors, as do their spatial qualities. In this course, we will explore the goals of urbanization, the conditions that shape these goals, and the factors and mechanisms of real estate development. We will investigate the cause of transformations in urban economy and space, citing specific examples of real estate and investment case studies from Japan and abroad.
In addition, we will welcome a professor of MIT who teaches real estate design and a developper in the United States to discuss the future of urban development and consider the future of Japanese cities. At the same time, we will explore the possibilities of real estate design in the post-corona era, considering local values and the rise of the sharing economy.
Following the Coronavirus pandemic, cities around the world have entered an new era in which we must fundamentally rethink methods of urban development that were once considered common sense. What kind of urban future should we envision in the VUCA (Volatile・Uncertain・Complex・Ambiguous) world?
The economy and fabric of cities transform due to various factors, as do their spatial qualities. In this course, we will explore the goals of urbanization, the conditions that shape these goals, and the factors and mechanisms of real estate development. We will investigate the cause of transformations in urban economy and space, citing specific examples of real estate and investment case studies from Japan and abroad.
In addition, we will welcome professors who teach real estate design from Harvard University and MIT in the United States to discuss the future of urban development and consider the future of Japanese cities. At the same time, we will explore the possibilities of real estate design in the post-corona era, considering local values and the rise of the sharing economy.
Following the Coronavirus pandemic, cities around the world have entered an new era in which we must fundamentally rethink methods of urban development that were once considered common sense. What kind of urban future should we envision in the VUCA (Volatile・Uncertain・Complex・Ambiguous) world?
The economy and fabric of cities transform due to various factors, as do their spatial qualities. In this course, we will explore the goals of urbanization, the conditions that shape these goals, and the factors and mechanisms of real estate development. We will investigate the cause of transformations in urban economy and space, citing specific examples of real estate and investment case studies from Japan and abroad.
In addition, we will welcome a professor of MIT who teaches real estate design and a developper in the United States to discuss the future of urban development and consider the future of Japanese cities. At the same time, we will explore the possibilities of real estate design in the post-corona era, considering local values and the rise of the sharing economy.
Following the Coronavirus pandemic, cities around the world have entered an new era in which we must fundamentally rethink methods of urban development that were once considered common sense. What kind of urban future should we envision in the VUCA (Volatile・Uncertain・Complex・Ambiguous) world?
The economy and fabric of cities transform due to various factors, as do their spatial qualities. In this course, we will explore the goals of urbanization, the conditions that shape these goals, and the factors and mechanisms of real estate development. We will investigate the cause of transformations in urban economy and space, citing specific examples of real estate and investment case studies from Japan and abroad.
In addition, we will welcome professors who teach real estate design from Harvard University and MIT in the United States to discuss the future of urban development and consider the future of Japanese cities. At the same time, we will explore the possibilities of real estate design in the post-corona era, considering local values and the rise of the sharing economy.
As executives of non-profit and for-profit organizations think about the organization's medium- to long-term strategy, the department that develops the strategy, under the direction of the executives, collects and analyzes the information. For example, in the case of marketing(demand-side data) research, executives may order the marketing department to conduct street research to determine the preferences of the target audience, and the analysis works to uncover the cause-and-effect relationship. In the late 1990s, the explosive spread of information technology made it possible for individuals to use IT to search and collect information, and organizations could easily accumulate a wide variety of information about their customers as data, such as their purchase history. With further advances in information technology in the 2010s, we have been able to keep large amounts of data at a large scale. The infrastructure is being developed to analyze, extract new knowledge and create value. In recent years, these large amounts of data are referred to as big data. One of the optimal statistical analysis, correlation analysis, which investigates the relationship between two factors, has been used in some cases to make decisions. In addition, in May 2013, the government announced the “Creation of the World’s Most Advanced IT Nation” declaration as the new IT strategy of the second Abe cabinet regarding open data, which declares the public data held by the government will be provided to the people in a form that can be used for secondary purposes, and aims to realize the creation of new businesses and innovation through public-private cooperation by interconnecting it with data held by companies. Further use of these data is changing the social systems of markets, organizations, citizens and governments. In this course, in order to develop human resources that can respond to the above social systems, we aim to integrate IT, analytics, and design in order to nurture human resources that will lead to the development of data scientists who can conduct research on architects who handle big data and understand information strategies that include systems.
As executives of non-profit and for-profit organizations think about the organization's medium- to long-term strategy, the department that develops the strategy, under the direction of the executives, collects and analyzes the information. For example, in the case of marketing (demand-side data) research, executives may order the marketing department to conduct street research to determine the preferences of the target audience, and the analysis works to uncover the cause-and-effect relationship between "cause and effect". In the late 1990s, the explosive spread of information technology made it possible for individuals to use IT to search and collect information, and organizations could easily accumulate a wide variety of information about their customers, such as their purchase history, as data. And with further advances in information technology in the 2010s, we've been able to keep large amounts of data at a large scale. The infrastructure is being developed to analyze, extract new knowledge and create value. In recent years, these large amounts of data are collectively referred to as big data, and the optimal statistical analysis One of the methods, correlation analysis, which investigates the relationship between two factors, has been used in some cases to make decisions. It's coming. In addition, in May 2013, the government announced the "Creation of the World's Most Advanced IT Nation" declaration as the new IT strategy of the second Abe cabinet regarding open data, which declares that public data held by the government will be provided to the people in a form that can be used for secondary purposes, and aims to realize the creation of new businesses and innovation through public-private cooperation by interconnecting it with data held by companies. Further use of these data is changing the social systems of markets, organizations, citizens and governments. In this course, in order to develop human resources that can respond to the above social systems, we aim to integrate IT, analytics, and design in order to nurture human resources that will lead to the development of data scientists who can conduct research on architects who handle big data and understand information strategies that include systems.
All living things including human being need to eat to live. To get food stably, our ancestor started farming and that has led our culture development. However, this “development” has become the cause of our modern problems related to food supply chain. Urban citizens are tending to ignorance where their food come from, and not only about the food itself but also people are forgetting the farmlands are playing important role to maintain the environment and social infrastructure through agriculture. This course provides chance to think about the fundamental meaning of agriculture as an essential element of sustainable development with five key elements: environment, education, tourism, welfare&well-being, energy. Two persons are responsible for this course who are both farmers, one in Fujisawa and one in Kumamoto, and are graduate of SFC. Not only learning and rethinking about agriculture but also we will discuss and think idea for future agriculture and environment.