4 courses based on data science and computational science, with applied fields of healthcare science and information security.
It is thought that computational science and data science, which have been called the third and fourth paradigms of scientific method, respectively, will play a central role in solving societal problems and creating new value going forward. For this reason, at our graduate school we will be performing education and research with computational science and data science at the core, in addition to healthcare science and information security science, which are fields in which the two current graduate schools (the Graduate School of Applied Informatics and the Graduate School of Simulation Studies) have shown proficiency, for a total of four courses. We will cultivate the kinds of human resources that can make full use of knowledge and skills in data science and computational science to shine in the worlds of business and government where data utilization will be the key, as well as the kinds of human resources that can contribute to the creation of new value in a wide range of fields in society, from planning, management, and policy making, to health and medicine, information security, and beyond.
Data Science Course
In this the era of big data, the ability to analyze a large volume of data to discover new phenomena and to model the real-world phenomena has become increasingly important. Professionals who have acquired these kinds of data science skills will be fulfilling the role of promoting a digital transformation through the presentation of new business models and the creation of new additional value.
On that notethis regard, this course will provide lectures that teach introduce the role of data science and its applications to in the real world, . Moreover, in addition to practical seminars that convey data analysis skills utilizing real-world data will provide the required skill for real-world experience. Furthermore, we will also be performing data science research utilizing information from a variety of areas such as artificial intelligence (with a focus on machine learning), mathematical modeling for handling big data, algorithms development, information management, and so onseveral other research tracks.
Computational Science Course
Simulation has an important role in academic studies in the natural and social sciences, as a third method concept alongside experimentation and theory. Our university’s Kobe Campus for Information Science is located in the same complex in Port Island South that houses one of the top-class supercomputer “Fugaku” that is listed within the first/second supercomputer worldwide. the “K” computer, and has contributed greatly to research and education relating to large-scale simulations. In 2020, preparations began to introduce the next-generation supercomputer “Fugaku” as a replacement for the earlier “K.” In the computational science course, this world-class infrastructure will be utilized to teach the basics of areas such as parallel computation, visualization, modeling, and numerical analysis, which are required for simulation research relating to the natural sciences (meteorology, ecosystems, seismology, materials, etc.) and social sciences (economics, social security, innovation, etc.), as well as to teach their applications from fluids to construction, and to perform cutting-edge research in the field of computational science.
Healthcare Science Course
The healthcare field has a great affinity with information technology and information science, and thus have the potential to dramatically expand healthcare services. The applications are wide-ranging, including finding new biomedical knowledge, creating a new type of medical education, and improving the effectiveness of healthcare service from biomedical and clinical data. In addition, the practical application of wearable devices and the Internet of Things (IoT) is expected to obtain health information and intervene prior to disease, contributing to the realization of preemptive medicine. In this course, students will learn systematically about the application of data science and computational science to healthcare science, and lead it to cutting-edge research.
Information Security Science Course
In the era of big data and the IoT (Internet of Things), the question of how we are going to protect information and privacy is becoming an ever more important issue for society than it was ever. This course adopts both a theoretical and practical approaches to study information security, with the goal of cultivating advanced cybersecurity personnel. Specifically in our course, students will learn the basics of cryptography, information security, network security, security management and dependable systems., Students will learn about and take on cutting-edge security researches in order to solve a variety of industrial, engineering and social issues with a systematic approach of computer science. In this way, the course allows students to gain a wide-range of skillset in cyber security, namely from fundamental mathematics to applied security systems.
