∎ 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.