Directions
The KAIST School of Computing offers a track in Social computing, which is an area of computer science that is concerned with the intersection of social behavior and computational systems, and covers a wide area of disciplines creating or recreating social conventions and social contexts through the use of software and technology.
Social Computing Curriculum List | ||
Under- graduate |
Code | Course name |
CS372 | Natural Language Processing with Python | |
CS374 | Introduction to Human-Computer Interaction | |
CS442 | Mobile Computing and Application | |
CS470 | Introduction to Artificial Intelligence | |
CS473 | Introduction to Social Computing | |
CS474 | Text Mining | |
CS476 | Collective Intelligence in Biomedical Applications | |
CS489 | Computer Ethic & Social Issues | |
CS492 | [Special Topics in CS] Social Media and Culture | |
Under- graduate/ Graduate |
Code | Course name |
CS564 | Big Data Analytics Using R | |
CS570 | Artificial Intelligence and Machine Learning | |
CS584 | Human-Computer Interaction | |
Graduate | Code | Course name |
CS612 | Social Network-Aware Ubiquitous Computing | |
CS644 | Ubiquitous Networking |
KAIST School of Computing 291 Daehak-ro, Yuseong-gu, Daejeon, Korea 34141
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