Pukyong National University Hosts Major Exchange Internship for Nagasaki University Students
12 Students from the Department of Information Data Science at Nagasaki University Participate
Pukyong National University is hosting a major exchange internship event for students from Nagasaki University from September 1 for five days.
Students from the Department of Information Data Science at Nagasaki University are taking a campus tour and posing for a commemorative photo. Provided by Pukyong National University
View original imageThe event brings together 12 students and professors from the Department of Information Data Science at Nagasaki University, who will participate in educational and practical programs at the Department of Statistics and Data Science at Pukyong National University, including lectures such as Introduction to Data Science and hands-on training.
The Nagasaki University students formed teams with Pukyong National University students, received mentoring from professors, and worked on data analysis projects. They also attended special lectures and practical sessions on advanced statistical techniques, machine learning, and deep learning, and participated in presentations and discussions. Campus tours and cultural exchange programs were organized to introduce the university and the city of Busan to the Nagasaki University students.
Nagasaki University organized this internship at the Department of Statistics and Data Science, a leading department at its sister university Pukyong National University, to promote academic exchange in advanced fields, as well as international cooperation and cultural exchange for students in the Department of Information Data Science.
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Choi Jieun, head of the Department of Statistics and Data Science at Pukyong National University, along with Professor Ha Ildo and other faculty members, stated, "We believe that through this program, students from both universities will have the opportunity to share academic knowledge and exchange ideas in the fields of statistical analysis of diverse data and the latest machine learning techniques, broadening their academic horizons."
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