The Center has inventoried interdisciplinary courses related to AI for the 113 academic year within the university and compiled an AI Interdisciplinary Course Map for students' course planning reference, hoping to assist students in developing their AI capabilities across disciplines.
【Overview of the Curriculum Compilation】
- Inventory Period: 2024–2025 (AY 113)
- Inventory Principles: Courses across all academic levels and programs (Undergraduate, Master's, Ph.D.)
- Data Sources: NCCU Courses Search System, official websites of various academic programs, and the Office of Academic Affairs.
- Course Availability: Please refer to the NCCU Courses Search System, Office of Academic Affairs, or respective departments and colleges for the most updated information regarding course offerings.
- Disclaimer: This curriculum map is independently compiled by the Center and is for reference only. Feedback and corrections are welcome.
【Legend and Classification】
- The left side of the map categorizes courses into six types based on their content and objectives:
- Informatics and Computing Courses: Foundational courses that provide essential digital and information literacy.
- STEM Courses: Courses offering prerequisite knowledge in scientific and technological domains such as physics, probability, and statistics.
- AI Portal: Introductory courses that establish basic understanding of AI. Some of these may also count toward general IT literacy.
- AI Core: Courses that cover fundamental tools, methods, and core technologies in AI.
- AI + X: Courses that emphasize integration of AI with another domain ("X"). These courses are equally focused on AI and the specific domain, highlighting innovation, practical application, or problem-solving using AI in that field.
- AI in X: Courses rooted in a specific disciplinary field that incorporate AI elements and explore its impact, with primary emphasis still on the domain-specific knowledge.
- The right side presents NCCU’s modular AI learning pathways organized by credit-based programs. Please note: The AI Interdisciplinary Credit Program is planned to launch starting from Academic Year 114 (2025–2026). For official updates, refer to the NCCU Office of Academic Affairs and the Bachelor's Degree Program in Artificial Intelligence Applications (AI Program).
- Course Tagging: Courses marked with “必” (Required) or “選” (Elective) in the upper-left corner indicate whether they fulfill credit requirements for either the AI Interdisciplinary Micro Program or the AI Program.
The Center has inventoried interdisciplinary courses related to AI for the 112 academic year within the university and compiled an AI Interdisciplinary Course Map for students' course planning reference, hoping to assist students in developing their AI capabilities across disciplines.
Inventory Period: Academic year 112
Inventory Scope: Centered around the AI Interdisciplinary Micro-Program and the Bachelor's Degree Program in Artificial Intelligence Applications (AI Program), while also compiling AI interdisciplinary courses from other disciplines. (The AI Interdisciplinary Micro-Program has been available since the 112 academic year, and students are welcome to enroll. An introduction to the AI Interdisciplinary Micro-Program has been separately announced on the Center's website.)
Inventory Principles: Include courses offered in the NCCU's undergraduate, master's, and doctoral programs.
Data Source: Primarily based on the NCCU's entire course search system, announcements from various program websites, and announcements from the Academic Affairs Office.
Course Availability: The opening times of each course listed in this AI Interdisciplinary Course Map are subject to the NCCU's course search system, the Academic Affairs Office, and announcements from each college and department.
Additional Information: The inventory data in this AI Interdisciplinary Course Map is the result of the Center's own inventory and is for reference only. For any questions, please provide guidance.
Download the PDF version (including hyperlinks to the introductions of each program)
The center has inventoried interdisciplinary courses within the school related to the AI field for the academic years 109-111, and compiled them into an AI Interdisciplinary Course Map for students to reference when planning their courses. It is hoped that this will be beneficial to students at our school in developing their AI capabilities across various disciplines.
Inventory Period: 2020 Academic Year - 2022 Academic Year
Inventory Scope: Centered around the Interdisciplinary AI Mini-Program and the Bachelor's Program in AI Applications (AI Program), the inventory also compiles interdisciplinary AI courses from various disciplines. (The Interdisciplinary AI Mini-Program will be available from the 112th academic year, and students are welcome to enroll. An introduction to the Interdisciplinary AI Mini-Program has been separately announced on the center's website.)
Inventory Principles: The focus is primarily on undergraduate courses. Courses jointly offered for both bachelor's and master's programs also fall within the scope of the inventory. Some related master's degree programs are also included in the map due to the aforementioned reasons and are thus recognized.
Source of Information: Primarily based on the university-wide course inquiry system, announcements on various program websites, and announcements on the Academic Affairs Office website.
Source of Information: Primarily based on the university-wide course inquiry system, announcements on various program websites, and announcements on the Academic Affairs Office website.
Other Instructions: The data for this AI interdisciplinary course map inventory is the result of self-conducted inventory by the center and is provided for reference only. Should there be any questions, please feel free to advise.
Download the PDF version (including hyperlinks to the introductions of each program)