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Computer Science & Data Science

  • Students can choose up to three courses: a Morning (09:00~11:45) session and an Afternoon (13:30~16:15) session, and an Evening (16:30~18:30) session.
  • Class will be from Monday to Friday (5 days a week, no class on July 3 July 10) (Morning class:09:00~11:45, Afternoon class:13:30~16:15, Evening class:16:30~18:30)
  • Each ISS course, which provides 3 academic credits, requires students to fulfill 3 study hours per day throughout the whole program, while Korean Language courses worth 2 academic credits require to fulfill 2 study hours per day.
  • Courses are subject to change or could be cancelled, depending on the status of registration.
  • Courses are subject to change.

Computer Science / Data Science

Morning (09:00~11:45)
Data Science & Physics
  Course Title Faculty University CV Syllabus
1 Data Science and Management Dongwon Lee Penn State University
2 Big Data: Technologies and Applications Il-Yeol Song Drexel University
3 Algorithm and Problem Solving Arthur Tang SKKU
4 Introduction to Artificial Intelligence Gaya Nadarajan SKKU
5 Introduction to Machine Learning Simon S. Woo SKKU
Afternoon (13:30~16:15)
Data Science & Physics
  Course Title Faculty University CV Syllabus
1 Human Computer Interaction Arthur Tang SKKU
2 Data Science and Management Dongwon Lee Penn State University
3 Deep Learning with TensorFlow Gaya Nadarajan SKKU
4 Cyber Security Simon S. Woo SKKU
5 Data Visuaulization Kyongil Yoon Notre Dam of Maryland University
6 Human-Centered Data Science Practice Theresa Dirndorfer Anderson University of Technology Sydney