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 | CSIE59950 | 2.0 | 每學期必修/Required per Semester | |
專題講座(一) | Special Topic Lecture (Ⅰ) | CSIE50500 | 1.0 | 碩一必修/1st Year Required | |
專題講座(二) | Special Topic Lecture (Ⅱ) | CSIE50600 | 1.0 | 碩一必修/1st Year Required | |
專業選修(elective) | |||||
影像處理 | Image Processing | CSIE52100 | 3.0 | ||
高等電腦視覺 | Advanced Computer Vision | CSIE54400 | 3.0 | ||
虛擬實境 | Virtual Reality | CSIE56000 | 3.0 | ||
人工智慧 | Artifical Intelligence | CSIE51600 | 3.0 | ||
柔性計算系統實務 | Realization of Soft Computing Systems | CSIE62080 | 3.0 | ||
高等資訊檢索 | Advanced Information Retrieval | CSIE57700 | 3.0 | ||
資料探勘 | Data Mining | CSIE58600 | 3.0 | ||
機器學習 | Machine Learning | CSIE59920 | 3.0 | ||
深度學習基石與實務 | Foundation and Practice of Deep Learning | CSIE51200 | 3.0 | 原名「類神經網路」 | |
大數據分析 | Big Data Analytics | CSIE59960 | 3.0 | ||
高等演算法 | Advanced Algorithms | CSIE53800 | 3.0 | ||
圖型識別 | Pattern Recognition | CSIE55000 | 3.0 | ||
智慧型系統設計 | Intelligent System Design | CSIE56900 | 3.0 | ||
專案管理 | Project Management | CSIE59820 | 3.0 | ||
大數據系統 | Big Data Systems | CSIE59830 | 3.0 | 原名「巨量資料系統」 | |
最佳化方法與應用 | Optimization Methods and Applications | CSIE59860 | 3.0 | ||
電腦視覺與機器學習 | Machine Learning in Computer Vision | CSIE@0540 | 3.0 | 原名「電腦視覺與深度學習」 | |
推薦系統 | Recommender System | CSIE59980 | 3.0 | ||
超大型積體電路設計 | Very Large Integrated Circuit Design | CSIE56700 | 3.0 | 原名「特殊用途超大型積體電路設計」 | |
無線網際網路 | Wireless Internet | CSIE58400 | 3.0 | ||
電腦網路與通訊 | Computer Networks and Communications | CSIE52500 | 3.0 | 原名「個人通訊網路」 | |
資訊安全管理系統 | Information Security Management System | CSIE62050 | 3.0 | ||
高等圖形理論 | Advanced Graph Theory | CSIE54800 | 3.0 | ||
物件導向式軟體工程 | Object-Oriented Software Engineering | CSIE52900 | 3.0 | ||
系統晶片設計專題 | Special Topics on System-on-Chip Design | CSIE58000 | 3.0 | ||
區塊鏈原理與應用 | BlockChain Principle and Application | CSIE59970 | 3.0 | ||
編譯程式原理與設計 | Compilers Principles and Design | CSIE55500 | 3.0 | 原名「高等編譯程式」 | |
程式語言原理與典型 | Programming Languages Principles and Paradigms | CSIE56400 | 3.0 | 原名「高等程式語言」 | |
下一代網際網路 | Next Generation Internets | CSIE53200 | 3.0 | ||
密碼學 | Cryptography | CSIE53400 | 3.0 | ||
分散式系統 | Distributed Systems | CSIE52400 | 3.0 | ||
作業系統工程 | Operating System Engineering | CSIE62010 | 3.0 | ||
數位學習科技 | Digital Learning Technology | CSIE62110 | 3.0 | ||
智慧異質無線網路資源管理 | Intelligent Resource Management for Heterogeneous Wireless Networks | CSIE59840 | 3.0 | 原名「異質無線網路漫遊與換手技術」 | |
最佳化與決策專題 | Topics on Optimization and Decision Making | CSIE59850 | 3.0 | ||
高等應用統計學 | Advanced Applied Statistics | CSIE59910 | 3.0 | ||
數位學習專論 | Advanced Digital Learning | CSIE59940 | 3.0 | ||
智慧物聯網技術與應用 | Intelligent IoT Technologies and Applications | CSIE62130 | 3.0 | ||
無人載具系統與應用 | Unmanned Vehicle System and Application | CSIE62140 | 3.0 | 原名「行動網路之無人載具通訊技術」 | |
次世代行動網路技術與應用 | Next Generation Mobile Networks: Emerging Technologies and Applications | CSIE62150 | 3.0 | 原名「次世代行動網路專題」 | |
社群網路與推薦系統 | Social Networks and Recommender Systems | CSIE62160 | 3.0 | ||
前瞻機器學習原理與技術 | Advanced Machine Learning Principles and Technology | CSIE62170 | 3.0 | ||
實務程式設計與應用 | Pragmatic Programming and Applications | CSIE62230 | 3.0 | ||
臨床醫學與智慧醫療照護 | Clinical Medicine and Smart Healthcare | CSIE62210 | 3.0 | ||
高互動多媒體設計之研究 | Highly Interactive Multimedia Design | CSIE62190 | 3.0 | ||
電腦對局理論 | Theory of Computer Games | CSIE62200 | 3.0 | ||
科技促進語文學習研究 | Research on Technology-Enhanced Language Learning | CSIE62220 | 3.0 | ||
*四、其他 | / | CSIE@0530 | 3.0 | ||
專題講座(三) | Special Topic Lecture (Ⅲ) | CSIE60600 | 1.0 | 碩二必修/2nd Year Required | |
專題講座(四) | Special Topic Lecture (Ⅳ) | CSIE60800 | 1.0 | 碩二必修/2nd Year Required | |
程式設計能力檢定 | Programming Ability Certification | CSIE59990 | 0.0 | 畢業門檻/Graduation Requirement | |
科技英文寫作 | Science and Technical Writing | CSIE61400 | 3.0 |