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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.
  • Courses are subject to change or could be cancelled, depending on the status of registration or the condition of COVID-19
  • CV & Syllabus will be updated within March

Computer & Data Science

Morning (09:00~11:30)
Data Science & Physics
  Course Title Faculty University CV Syllabus Lecture Type
1 Statistics in Python Kyung Eun Park Wilkes Univ Offline
2 Artificial Intelligence Kyongil Yoon Notre Dame of Maryland Univ Offline
Afternoon (12:30~15:00)
Data Science & Physics
  Course Title Faculty University CV Syllabus Lecture Type
1 Artificial Intelligence Gaya Nadarajan SKKU Offline
2 Human Computer Interaction Priyank Chandra Univ Toronto Offline
3 Data Visualization Kyongil Yoon Notre Dame of Maryland Univ Offline
4 Information Organizations and Management cancelled cancelled      
Evening (15:30~18:00)
Korean Studies & Koran Language
  Course Title Faculty University CV Syllabus Lecture Type
1 Introduction to Big Data Analysis Jongwook Woo California State Univ Offline
2 Cultural Contents and Natural Language Processing Youngeun Koo SKKU Offline
3 Introduction to Machine Learning (1) Simon Woo SKKU Online
4 Introduction to Machine Learning (2) Simon Woo SKKU Online
* Introduction to Big Data Analysis course can be taken by students majoring in Information Systams at Business & Economics as well