.jpg)
◈ 學分學程介紹 Program Overview
為配合協助政府的各領域的產業創新計畫，驅動產業發展量能，為因應生成式人工智慧、與大型語言模型應用在各領域的潮流，本學分學程屬於人工智慧技術學分學程，透過循序漸進的修課規劃，讓學生在自然語言相關領域有所理解，未來應用技術在各產業的創新上。
To support the government’s cross-sector industrial innovation initiatives and drive forward industrial development, this program addresses the rise of Generative AI and large language model applications across various fields.
Through a step-by-step course structure, the program helps students develop a strong understanding of natural language technologies, preparing them to apply these skills to future innovations in diverse industries.
◈ 適合學生 Who should take this program
本學分學程適合電資領域學生修習，或是已經完成「人工智慧探索應用學分學程」的學生。
This program is ideal for students in electrical engineering and computer science–related disciplines, or for those who have already completed the Applied AI Exploration Program.
◈ 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 obtain a TAICA-issued certificate, students must complete at least 8 credits of TAICA-recognized courses, which includes both master (mirror) courses and satellite courses.
◈ 修課注意事項 Course Enrollment Note
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「資料探勘與應用」來修習「自然語言處理」，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 recommended sequence if constrained by their major’s scheduling. For example, it is possible to take Natural Language Processing without first taking Data Mining and Applications, but may result in lower comprehension and performance. Similarly, while AI Ethics is generally considered one of the easier courses, skipping foundational courses may lead to gaps in understanding some parts of the curriculum.
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.