16071 items found.
Soft Power Studies (Basic）
現代の金融政策の理論と実践について学習する。マネーの定義、マネーストック、信用乗数、金融システム（株式・債券市場を含む）、為替レートの決定などについて学習する。さらに金融絵施策について理論と実践についても学習する。世界金融危機後、主要国の中央銀行は短期金利の調整をもとにする従来の金融政策の限界に直面した。短期金利がゼロ％近傍に達したからである。そこで資産買い入れ（量的緩和）やフォワードガイダンスを含む非伝統的金融政策を導入した。最近では、マイナス金利政策を日欧で採用しており、短期金利はマイナスにできないという従来の常識を覆したようにみえる。しかし、マイナス金利を含む非伝統的金融緩和の副作用も顕在化してきている。コロナ危機以降は、新興諸国も量的緩和を採用する国が増えている。こうした最近の金融政策の変遷と課題を学習する。
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 a practical basic understanding of analytical thinking and data literacy (skills covered in the “Data-Driven” basic class), on the assumption that they do not have much experience in data analysis and utilization.
In this course, we will cover introductions to data preparation, data visualization, and machine learning including deep learning.
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.
★ This course will be delivered to a student who completed the introductory Data-Driven class successfully (just audited students are not allowed).
★ This 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 students
Those who really want to make a change by analyzing the data and utilizing the data rather than information science nerds.
People who want to understand how data and analysis are delivering the values in this world and who want to acquire basic skills on them.
People who want to get the feel of how the data can be used for general decision making.
People who have tried various analyzes so far, but who do not get the point of value creation using data.
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 a practical basic understanding of analytical thinking and data literacy (skills covered in the “Data-Driven” basic class), on the assumption that they do not have much experience in data analysis and utilization.
In this course, we will cover introductions to data preparation, data visualization, and machine learning including deep learning.
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.
★ This course will be delivered to a student who completed the introductory Data-Driven class successfully (just audited students are not allowed).
★ This 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 students
Those who really want to make a change by analyzing the data and utilizing the data rather than information science nerds.
People who want to understand how data and analysis are delivering the values in this world and who want to acquire basic skills on them.
People who want to get the feel of how the data can be used for general decision making.
People who have tried various analyzes so far, but who do not get the point of value creation using data.
English Section has its own on-line syllabi, please check the syllabus of each class you would like to take through the following URL.
【Project English Ｃ】
*http://english.sfc.keio.ac.jp/syllabus/list.php?level=C
This course will learn about the theory and practices of money and digital currency. Central bank digital currency proposals are also covered.
The lecture will focus on recent Japan's economic performance and the outlook after the 2020 Tokyo Olymipic Game, Abenomics (three arrows) and the performance, as well as massivie monetary easing conducted by the Bank of Japan under the Abenomics. Japan's long-standing deflation and its features will be also touched upon.
Global economic issues such as the US economic performance and new policies under Mr. Trump, Brexit and EU negotiations, euro area and economic integratoin isseus, major exchange rates )ncluding the US dollar, the Japanese yen, the Chinese yuan, and euro) will be pointed out.
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.
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.