Syllabus Search Result

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.

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.

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.

Modern Japanese Literature II: Poetry Workshop
In this class, you will read samples of literature by some of Japan's representative modern poets. You will improve your English writing skills by translating poems into English and composing your own original English poems in famous Japanese genres. We will cover classical styles, such as haiku and tanka, and technology-based poetry such as the "恋するAI歌人" and Shigeru Matsui's "Pure Poems." Every week we will have group activities in which you will collaborate with classmates to translate poems. There will also be several Poetry Readings where you will read your own translated and original poems to your classmates and give each other feedback. As part of the Poetry Readings, you will submit your poems in English with an oral explanation of the poem

This course will learn about the recent global issues related to SDGs corporate management and ESG investment.

The course will focus on recent global economic developments including Japan, China and US, monetary policy, fiscal deficit and debt issues and relation with monetary policy (MMT, helicopter money), low inflation, stock and financial market developments, etc.

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.

This course is to discuss the nature of international business by referring to case study materials. The students read the case before the class, write a short report, and participate an active discussion facilitated by the course instructor.

The case is selected to cover all the important issues around international business, as well as major industries and regions. Topics covers: supply chain, distribution chain, organisation and strategy, new entrant, M&A, competition with local firms, collaboration with local firms, low cost distribution, low cost business model, and Japanese business overseas. Most of the case are less than 10 years old and will constantly be updated.

The students read the case study, which typically is 10-15 pages in English, and write a A4-1page report to answer the questions given by the instructor. Depending on the class size, one group may give a presentation of the overview of the case, and then the class moves to an active discussion session facilitated by the instructor.

In this lecture, the backgrounds of athletes becoming top athletes are given consideration from various points of views such as coaching, conditioning, athletes` life styles, sports intelligence, their mentalities, and supports for athletes and second careers, relevance between society and athletes. Based on the study above we will consider and discuss solutions about relative issues surrounding athletes and sports by group works.

Regarding for COVID-19
Our laboratory deeply focuses on practical design. As long as BCT prohibit any research activity on campus, the laboratory will be on campus.

GROUP WORKS：

We have been doing design developments for private companies' product.

We have been doing independent research and development for original themes according to our interests.


INDIVIDUAL WORKS：

We have been making thematic world map. We excercise mapping skills, info graphics by the work. And we study geopolitics, geology, geography and other liberal arts by the work.

Fields of our activities are architectural design, product design, graphic design and fine arts.

The lab explores esthetics in practical designs. And the lab does not really explore esthetics in design theories.

GROUP WORKS：

We have been doing design developments for private companies' product.

We have been doing independent research and development for original themes according to our interests.


INDIVIDUAL WORKS：

We have been making thematic world map. We excercise mapping skills, info graphics by the work. And we study geopolitics, geology, geography and other liberal arts by the work.

Fields of our activities are architectural design, product design, graphic design and fine arts.

The lab explores esthetics in practical designs. And the lab does not really explore esthetics in design theories.

This seminar will be held together with the seminar of Professor Tajima Eiichi. Students who take this seminar need to do their own research presentations and to give comments and advices on the presentations of other seminar participants.