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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 order to utilize full potential of information and communications technologies (ICTs) for promoting economic growth and addressing various social issues, we need to take various steps such as 1) development of relevant technologies, 2) development of product and services, 3) expansion of infrastructure, and 4) building capacity of human and society to be ready to use ICTs. Policy intervention is necessary as these goals are hard to accomplish, if solely relying on market competition. Understanding such policies required to support technology will be helpful to predict and take advantage of social dynamics related to new digital products and services that are emerging now and will emerge in the coming future.
In the first stage of this course, explanation will be provided on importance of social expansion of ICTs, mainly focusing on network technologies such as mobile communications and the Internet. Basic knowledge required to understand relevant policies will be also introduced.
Then the course will pick up specific case studies for each sort of ICT policy practices, to discuss how that policy making was triggered and what impacts the policy brought about, with viewpoints of international comparison. In addition, students will be invited to participate in more active discussion on certain topic on future policy direction, which will be shown later in the course.

In the age of artificial intelligence, it is desirable that text data
are treated like any other data. The use of text processing technology
will lead to significant value creation. Students are expected to
learn basic techniques of text processing and to develop their own
text processing applications. In this course, the emphasis is not on
understanding complex natural language processing theories, but rather
on the basic techniques and applications of text processing, the
possibilities of text processing, and the fun and excitement of using
it. At the end of the course, students will create their own text
processing applications using the skills and knowledge they learned in
the course.