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
- Departmental Course Requirement
At least 50% of the courses taken must be offered by the Department of Computer Science and Information Engineering (CSIE). - 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. - 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. - 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. - 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. - 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. - 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. - Scholarship Obligations
Scholarship recipients must adhere to the scholarship’s specific regulations and guidelines in addition to completing the curriculum requirements. - 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. - 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 | Thesis | AIIA50000 | 2.0 | 每學期必修 | |
專題講座(一) | Special Topic Lecture (Ⅰ) | AIIA50010 | 1.0 | 碩一必修 | |
專題講座(二) | Special Topic Lecture (Ⅱ) | AIIA50170 | 1.0 | 碩一必修 | |
專業選修(elective) | |||||
影像處理 | Image Processing | AIIA50150 | 3.0 | ||
高等電腦視覺 | Advanced Computer Vision | AIIA50160 | 3.0 | ||
柔性計算系統實務 | Realization of Soft Computing Systems | CSIE@0840 | 3.0 | ||
高等資訊檢索 | Advanced Information Retrieval | CSIE@0850 | 3.0 | ||
大數據分析 | Big Data Analytics | AIIA50060 | 3.0 | ||
圖型識別 | Pattern Recognition | CSIE@0860 | 3.0 | ||
智慧型系統設計 | Intelligent System Design | AIIA50130 | 3.0 | ||
大數據系統 | Big Data Systems | AIIA50050 | 3.0 | ||
最佳化方法與應用 | Optimization methods and applications | AIIA50020 | 3.0 | ||
電腦視覺與機器學習 | Machine Learning in Computer Vision | CSIE@0870 | 3.0 | ||
推薦系統 | Recommender System | AIIA50070 | 3.0 | ||
智慧異質無線網路資源管理 | Intelligent Resource Management for Heterogeneous Wireless Networks | CSIE@0880 | 3.0 | ||
最佳化與決策專題 | Topics on optimization and decision making | AIIA50200 | 3.0 | ||
智慧物聯網技術與應用 | Intelligent IoT technologies and applications | AIIA50100 | 3.0 | ||
社群網路與推薦系統 | Social Networks and recommender systems | AIIA50090 | 3.0 | ||
實務程式設計與應用 | Pragmatic Programming and Applications | AIIA50210 | 3.0 | ||
臨床醫學與智慧醫療照護 | Clinical Medicine and Smart Healthcare | AIIA50240 | 3.0 | ||
高互動多媒體設計之研究 | Highly interactive multimedia design | AIIA50180 | 3.0 | ||
電腦對局理論 | Theory of Computer Games | AIIA50190 | 3.0 | ||
程式設計能力檢定 | Programming Ability Certification | AIIA50110 | 0.0 | ||
*四、其他 | / | CSIE@0920 | 3.0 | ||
專題講座(三) | Special Topic Lecture (Ⅲ) | AIIA50220 | 1.0 | 碩二必修 | |
專題講座(四) | Special Topic Lecture (Ⅳ) | AIIA50230 | 1.0 | 碩二必修 | |
科技英文寫作 | Science and Technical Writing | CSIE@0950 | 3.0 | ||
以下科目 5 選 2,至少需修習 6.0 學分(select 2 lectures from 5 lectures, at least 6.0 credits) | |||||
人工智慧 | Artifical Intelligence | AIIA50030 | 3.0 | ||
機器學習 | Machine Learning | AIIA50120 | 3.0 | ||
資料探勘 | Data Mining | AIIA50040 | 3.0 | ||
深度學習基石與實務 | Foundation and Practice of Deep Learning | AIIA50140 | 3.0 | ||
前瞻機器學習原理與技術 | Advanced Machine Learning Principles and Technology | AIIA50080 | 3.0 |