• Korean Medical Education Review
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• v.22 no.3
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• pp.146-152
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• 2020

Hospice and palliative care (HPC) education is an essential component of undergraduate medical education. Since February 4th, 2018, withholding and withdrawing life-sustaining treatment at the end of life (EOL) has been permitted in Korea as put forth by law, the "Act on Hospice and Palliative Care and Decisions on Life-Sustaining Treatment for Patients at the End of Life." Therefore, Korean medical schools have faced a challenge in providing comprehensive HPC education in order to better prepare medical students to be competent physicians in fulfilling their role in caring for patients at the EOL. There have been considerable variations in the evolution and organization of HPC education across Korean medical schools for the past 20 years. In 2016, all medical schools taught HPC curriculum as a separate course or integrated courses, with the most frequently taught topics including: delivering bad news, pain management, and the concept of palliative medicine. However, the content, time allocation, learning format, and clinical skills practice training of HPC education have been insufficient, inconsistent, and diverse. For this reason, we propose a HPC curriculum containing seven domains with 60 learning objectives in a course duration of over 20 hours based on the Palliative Education Assessment Tool (PEAT) as standard HPC curriculum. Furthermore, we recommend development of a national curriculum for HPC/EOL care education to be organized by the HPC board and managed under the accreditation criteria of the Korea Institute of Medical Education and Evaluation.

• Journal of The Korean Association of Information Education
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• v.22 no.5
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• pp.545-556
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• 2018

The purpose of this study is to suggest the knowledge elements for HPC education in computational science. For this purpose, the survey for HPC experts was conducted to verify the content validity and reliability, and the 20 candidate knowledge elements was extracted. And the second survey for HPC users was conducted to apply the t test, Borich requirement, and The Locus for Focus model. And 10 knowledge elements for HPC education were derived. As a result, the first group was 'Parallelism Fundamentals', 'Parallelism', 'Parallel communication and coordination', 'Parallel Decomposition', 'Parallel Algorithms, Analysis, and Programming' and 'Introduction to Modeling and Simulation', 'Fundamental Programming Concepts', 'Fundamental Data Structures', 'Memory Management', 'Algorithms and Design' were second group for HPC education.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.21-31
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• 2018

In order to utilize HPC in Computational science, It is necessary to learn the knowledge and skills of computer science such as programming, algorithms and data structure. In this paper, we investigate IT education status in Computational science and propose policy directions to improve the HPC education through user survey. To do this, we surveyed the current state of IT subjects among major subjects in physics, chemistry, life sciences, and earth science in domestic universities and surveyed the users' Recognition of HPC education. As a result, the ratio of IT subjects in Computational science was very lower than the ratio of major domain subjects. Despite the high educational needs of universities, the educational level of universities was the lowest. Most users have learned the necessary knowledge and skills through self-study. We recognized the role of the university is the most urgent and important, and the role of professional institutions and online education is also important.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.610-619
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• 2016

Digital manufacturing (DM) technology helps engineers design products promptly and reliably at low production cost by simulating a manufacturing process and the material behavior of a product in use, based on three-dimensional digital modeling. The computing infrastructure for digital manufacturing, however, is usually expensive and, at present, the number of professional design engineers who can take advantage of this technology to a product design accurately is insufficient, particularly in small and medium manufacturing companies. Considering this, the Korea Institute of Science and Technology Information (KISTI) and H University is operating a DM track in the form of Industry-University-Research Institute collaboration to train high-performance-computing-based DM professionals. In this paper, a series of courses to train students to work directly into DM practice in industry after graduation is reported. The operating cases of the DM track for two years since 2013 are presented by focusing on the progress in establishment, lecture and practice contents, evaluation of students, and course quality improvement. Overall, the track management, curriculum management, learning achievement of students have been successful. By expediting more active participation of the students in the track and providing more internship and job offers in the participating companies in addition to collaborative capstone design projects, the track can be expanded by fostering a nationwide training network.