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TAICA 臺灣大專院校人工智慧學程聯盟 - 關於TAICA聯盟 - 視覺技術學分學程

◈ 學分學程介紹 Program Overview
為配合協助政府的在產業創新計畫,驅動產業發展量能,為因應這波人工智慧革命,本學分學程屬於人工智慧技術學分學程,主要設計給電機資訊領域的學生,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,才能在影像、視覺或相關應用有上基於人本的創新。

This program is designed primarily for students in electrical engineering and computer science fields in order to support national industrial innovation initiatives and boost development capacity in response to the ongoing AI revolution. The curriculum is structured to progressively build students’ technical expertise in AI while also ensuring they understand the ethical implications of AI technologies. This foundation prepares students to pursue human-centered innovations in areas such as computer vision, image analysis, and related applications.

◈ 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 suitable for students in electrical engineering, computer science, and 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 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 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「機器學習」來修習「電腦視覺」,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, taking Computer Vision without first completing Machine Learning is possible, 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.