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Computer & Data Science

  • Students can choose up to three courses
  • Class will be from Monday to Thursday. There is no class every Friday.
  • 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.
  • CV & Syllabus will be updated within December

Computer & Data Science

Morning (09:00~11:30)
Data Science & Physics
  Course Number Course Title Faculty University CV Syllabus Lecture Type
1 ISS3233 Statistics in Python Liang Zhao Wuhan Univ On-campus
2 ISS3319 Enhancing Productivity using AI Tools Ingo Barkow University of Applied Sciences of the Grisons On-campus
3 ISS3324 Hack the Research in Cybersecurity Ariel Pinto Univ at Albany On-campus
4 ISS3326 Innovation and Emerging Technologies for Social Science Shuyuan Metcalfe Florida State Univ On-campus
5 ISS3328 AI and Design Nusrat Jahan Mim Univ Toronto On-campus
Afternoon (12:30~15:00)
Data Science & Physics
  Course Number Course Title Faculty University CV Syllabus Lecture Type
1 ISS3198 Artificial Intelligence Tamer Abuhmed SKKU On-campus
2 ISS3325 Introduction to Algorithms Seungbae Kim Univ of South Florida On-campus
3 ISS3327 AI and Computational Humanities Stephen Wittek Carnegie Mellon Univ On-campus
Evening (15:30~18:00)
Korean Studies & Koran Language
  Course Number Course Title Faculty University CV Syllabus Lecture Type
1 ISS3290 Introduction to Big Data Analysis* Farman Ali SKKU On-campus
* Introduction to Big Data Analysis course can be taken by students majoring in Information Systems at Business & Economics as well