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◈ 學分學程介紹 Program Overview
為配合協助政府相關產業創新計畫，因應這波人工智慧革命，本學分學程屬於人工智慧應用學分學程，屬於學分學程內最容易入門的選項，主要給跨領域學生修習，因此課程設計從先修的程式設計和機率開始，透過循序漸進的修課規劃，讓學生除了有完備的人工智慧技術外，也了解相關倫理議題，最後透過人工智慧專題應用，讓學生們理解人工智慧技術在產業上落地的考量。
To support national industry innovation initiatives and respond to the ongoing AI revolution, this program—the Applied AI Exploration Program—is designed as the most accessible entry point within the TAICA credit programs.
It is specifically intended for students from non-computing disciplines. The curriculum begins with foundational subjects such as programming and probability, then progresses gradually. Students not only gain solid technical knowledge in AI but also explore ethical considerations, and ultimately apply what they’ve learned through capstone AI application projects, which focus on real-world industry challenges.
◈ 適合學生 Who should take this program
本學分學程適合所有跨領域的學生，對於想要了解人工智慧技術，卻不知從何開始的學生，可以根據本學分學程的建議來修課。
This program is ideal for interdisciplinary students. If you are interested in learning about AI technology but don’t know where to start, the structure of this program offers a clear, beginner-friendly pathway.
◈ 修課規定 Program Requirements
- 本聯盟各學分學程總修習學分為 15 學分。
- 本聯盟各學分學程間可互相抵免學分上限為 6 學分。
- 若需取得本聯盟頒發學程學分證明，學生必須在各該學分學程中修習至少 8 學分以上聯盟認定課程，包括主導課程(鏡像課程)與衛星課。
- Each TAICA program requires the completion of 15 credits.
- Up to 6 credits may be cross-counted between different TAICA programs.
- To receive a TAICA-issued certificate, students must complete at least 8 credits of TAICA-recognized courses, which include both master (mirror) courses and satellite courses.
◈ 修課注意事項 Course Enrollment Notice
學生修習課程的時候，若因為主修課程安排限制，不一定要根據課程規劃中的修課順序建議，舉例來說：在本學分學程若跳過機率來修人工智慧導論，也是可行的，但是可能對課程理解、和課程表現上就會較為遜色。又，雖然人工智慧倫理的課程難度可能是最簡單的，但是若沒有按照修課建議順序，有可能會在少部分課程內容上會有囫圇吞棗之憾。因此若選課上有疑惑，請和開課老師討論、或在學期初提前理解課程內容進度，再審慎規劃。
Students are not strictly required to follow the suggested course sequence if constrained by their major program’s schedule. For example, it is possible to take Introduction to AI without completing Probability first; however, doing so may make the course more difficult to understand or affect performance. Likewise, although the AI Ethics course is relatively easier, taking it out of the recommended order may lead to gaps in understanding.
If you have questions about course selection and planning, please consult the course instructor, or review course content early in the semester to make a well-informed decision.