114 Academic Year Curriculum for Master Program in Artificial Intelligence and Innovative Applications

I. Graduation Requirements

Minimum Graduation Credits: Students must earn at least 30 credits to graduate, including:

  • Professional Required Courses: 6 credits
  • Professional Elective Courses: 24 credits

II. Important Regulations

  1. Departmental Course Requirement
    To complete the Professional Elective Courses requirement of 24 credits, students must earn at least 6 credits from the AI Course Group (select at least 2 courses out of 5). Additionally, they must complete at least 9 credits from CSIE Professional Electives, excluding the AI courses. The remaining 9 credits can be chosen from elective courses offered by other graduate programs.
  2. Eligibility of Graduate-Level Courses
    Master’s students may take graduate-level courses offered by both the Master’s and Ph.D. programs within CSIE. All such courses are eligible for inclusion in graduation credits.
  3. Credit Transfer Limitations
    Master’s students can transfer up to 50% of the professional elective course credits. Courses offered by the Department of Computer Science and Information Engineering (CSIE) are not included in this limit. Credit transfers must follow the university’s schedule.
  4. Special Topic Lecture Requirement
    Master’s students must enroll in “Special Topic Lecture” courses—(I), (II), (III), or (IV)—every semester until graduation. Only the credits earned from “Special Topic Lecture (I)” and “(II)” count toward graduation credits. Students in the Five-Year Bachelor-Master Program should refer to the department’s Five-Year Bachelor-Master Degree Implementation Guidelines (本系五年修讀學、碩士學位實施細則) for additional details.
  5. Thesis Requirement
    Master’s students must register for the “Thesis” course every semester until graduation. A maximum of 4 credits from two “Thesis” courses may be counted toward graduation credits.
  6. English Proficiency Requirement
    Master’s students must meet the department’s English Proficiency Requirement for Graduate Students (資訊工程學系研究生英語能力畢業規定) to be eligible for graduation.
  7. Programming Ability Certification
    All students, including those with double majors, must complete the Programming Ability Certification Course and receive a grade. However, the grade will not affect graduation eligibility.
  8. Scholarship Obligations
    Scholarship recipients must adhere to the scholarship’s specific regulations and guidelines in addition to completing the curriculum requirements.
  9. Academic Research Ethics Education Certification Requirement
    Master’s students admitted from this academic year onwards must register for the Online Courses for Academic Research Ethics Education (學術研究倫理教育課程) provided by the Center for Taiwan Academic Research Ethics Education (臺灣學術倫理教育資源中心) during the course selection period of their first semester. Registration must be completed through the CSIE Department Office. Students must pass the online course assessment and obtain the certification of completion to be eligible to apply for the Oral Defense Exam. Failure to complete this requirement will disqualify students from applying for the exam.
  10. EMI Course Equivalency
    To promote English as a Medium of Instruction (EMI), EMI courses offered by the College of Science and Engineering with the same name or nature as those in this program will be considered equivalent. For details, refer to the NDHU Course Equivalency Table (國立東華大學相同或等同課程對照表).
科目名稱Course Title(Chinese)英文科目名稱Course Title(English)科目代碼Course Number學分Credit*先修科目或#背景科目*Prerequisite course or #Background course備註Remarks
專業必修(required)
論文研究ThesisAIIA500002.0每學期必修/Required per Semester
專題講座(一)Special Topic Lecture (Ⅰ)AIIA500101.0碩一必修/1st Year Required
專題講座(二)Special Topic Lecture (Ⅱ)AIIA501701.0碩一必修/1st Year Required
專業選修(elective)
影像處理Image ProcessingAIIA501503.0
高等電腦視覺Advanced Computer VisionAIIA501603.0
柔性計算系統實務Realization of Soft Computing SystemsCSIE@08403.0
高等資訊檢索Advanced Information RetrievalCSIE@08503.0
大數據分析Big Data AnalyticsAIIA500603.0
圖型識別Pattern RecognitionCSIE@08603.0
智慧型系統設計Intelligent System DesignAIIA501303.0
大數據系統Big Data SystemsAIIA500503.0
最佳化方法與應用Optimization Methods and ApplicationsAIIA500203.0
電腦視覺與機器學習Machine Learning in Computer VisionCSIE@08703.0
推薦系統Recommender SystemAIIA500703.0
智慧異質無線網路資源管理Intelligent Resource Management for Heterogeneous Wireless NetworksCSIE@08803.0
最佳化與決策專題Topics on Optimization and Decision MakingAIIA502003.0
智慧物聯網技術與應用Intelligent IoT Technologies and ApplicationsAIIA501003.0
社群網路與推薦系統Social Networks and Recommender SystemsAIIA500903.0
實務程式設計與應用Pragmatic Programming and ApplicationsAIIA502103.0
臨床醫學與智慧醫療照護Clinical Medicine and Smart HealthcareAIIA502403.0
高互動多媒體設計之研究Highly Interactive Multimedia DesignAIIA501803.0
電腦對局理論Theory of Computer GamesAIIA501903.0
程式設計能力檢定Programming Ability CertificationAIIA501100.0Graduation Requirement
*四、其他/CSIE@09203.0
專題講座(三)Special Topic Lecture (Ⅲ)AIIA502201.0碩二必修/2nd Year Required
專題講座(四)Special Topic Lecture (Ⅳ)AIIA502301.0碩二必修/2nd Year Required
科技英文寫作Science and Technical WritingCSIE@09503.0
以下科目 5 選 2,至少需修習 6.0 學分/AI Course Group: Select at least 2 courses (min 6.0 credits) out of
人工智慧Artificial IntelligenceAIIA500303.0
機器學習Machine LearningAIIA501203.0
資料探勘Data MiningAIIA500403.0
深度學習基石與實務Foundation and Practice of Deep LearningAIIA501403.0
前瞻機器學習原理與技術Advanced Machine Learning Principles and TechnologyAIIA500803.0