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SW Convergence Academics

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  • SW-AI Students Education
  • DS training for non-major

SW-AI Students Education

DS training for non-major

∎ Realize creative convergence education by opening mandatory DS-based and optional DS-based courses
∎ DS-based courses provide "customized major" SW-AI education by diversifying the content and scale of lectures by college, department, and major
∎ The DS in-depth curriculum aims to increase the linkage of curriculum by major field by improving advanced data analysis and artificial intelligence convergence capabilities


Class of   <2025>

Field Course Credits College/Department Note
DS-based(essential) Problem Solving and Computational Thinking 3 All student of Humanities and
Social Sciences Campus, Natural Sciences, Architecture, Sports
Science, and Medicine
Computer Programming for Engineers 3 Electrical, Quantum, and Biomedical Engineering
Engineering and Artificial Intelligence
Future Engineering
choose one course to take
Basis and Practice in Programming 3
Computer Programming for Engineers 3 Semiconductor and Software Engineering"
Basis and Practice in Programming 3
Introduction to Data Analysis and AI 3 ALL
Total 6 or 9 Engineering(9)
DS-based(Optional) Basic of Machine Learning 3 AI certification subject
AI Capstone Project 3

※ The DS-based course "Fundamentals of Data Analysis and AI" is a mandatory course (common requirement) and must be taken from the second year onward.


Class of   <2021~2024>

Field Course Credits College/Department Note
DS-based(essential) Computational Thinking and Software Coding 2 All student of Humanities and
Social Sciences Campus, Natural Sciences, Architecture, Sports
Science, and Medicine
Problem Solving and Algorithm 2
Computer Programming for Engineers 3 Engineering
Basis and Practice in Programming 3
AI Basics and Uses 2 ALL
Fundamental of Data Analytics 3
Total 9 or 11 Engineering(11)
DS-based(Optional) Basic of Machine Learning 3 AI certification subject
AI Capstone Project 3

※ The DS-based courses "AI Basics and Uses" and "Fundamental of Data Analytics" are mandatory courses (common requirement).
※ The courses "Computational Thinking and Software Coding", "Problem Solving and Algorithms," "Computer Programming for Engineers", and "Basis and Practice in Programming" are automatically assigned to first-year students according to their respective academic tracks. Meanwhile, "AI Basics and Uses" and "Fundamental of Data Analytics" must be taken after the first year.