114學年度 資訊工程學系博士班 課程規劃表
114 Academic year Curriculum planning table
一、最低畢業學分數(Minimum graduation credits)：
- 畢業學分(Graduation credits)：30.0學分(credits)
- 專業必修(Professional Required)：12.0學分(credits)
- 專業選修(Professional elective)：18.0學分(credits)
二、重要相關規定(Important regulations)：
| 1. 博士生應修習本系開設之專業選修科目至少二分之一。 2. 博士生修習資訊工程學系碩博士班之專業選修科目均得列入畢業學分。 3. 申請抵免學分以專業選修課程學分數二分之一為限，本系開設之課程者不在此限，抵免時程以學校規定辦理。 4. 碩士班研究生逕行修讀本系博士學位者，在博士畢業前至少需修畢本表所列專業選修課程42學分。 5. 所修課程非經任課教師、指導教授及系主任核准，不得與過去已修畢之研究所課程重複，否則不列入上述畢業學分。 6. 博士生在學期間內必須修習「論文研究」課程，畢業學分至多採計4次共8學分。 7. 博士生需通過英文資格認定方可畢業。相關英文課程之認定，請參考「資訊工程學系研究生英語能力畢業規定」。 8. 凡以各類獎學金入學之受獎學生，除了本課規之外，另須依該獎學金之相關規定辦法修課及完成學業。 9. 本學年度起入學之本系研究所學生，須於入學後之第一學期選課期間，至系辦登記修習「臺灣學術倫理教育資源中心」線上平台之「學術研究倫理教育課程」，須通過線上課程測驗成績達及格標準，並出示修課證明始得申請學位考試。未通過者，須於申請學位考試前補修完成，未完成本課程者，不得申請學位考試。 10.為推動全英語授課，理工學院EMI教師所開設之EMI課程，與本系相同課名或相同性質課程可視為等同課程。請參閱相同或等同課程對照表。 |
| 1. Departmental Course Requirement At least 50% of the courses taken must be offered by the Department of Computer Science and Information Engineering (CSIE). 2. Eligibility of Graduate-Level Courses Ph.D. 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 Ph.D. 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. Ph.D. Course Credit Requirement for Master’s Students Master’s students directly pursuing a Ph.D. degree in this department must complete at least 42 credits of professional elective courses listed in this curriculum before graduating with the Ph.D. degree. 5. Non-Duplicative Course Requirement Courses taken must not duplicate any previously completed graduate-level courses unless approved by the course instructor, advisor, and department chair. Duplicate courses without approval will not be counted toward the graduation credit requirement. 6. Thesis Requirement Ph.D. students must register for the “Thesis” course every semester until graduation. A maximum of 8 credits from four “Thesis” courses may be counted toward graduation credits. 7. English Proficiency Requirement Ph.D. 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. 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 | Thesis | CSIE71800 | 2.0 | 每學期必修/Required per Semester | |
| 專題講座(一) | Special Topic Lecture（I） | CSIE70100 | 1.0 | 博一必修/1st Year Required | |
| 專題講座(二) | Special Topic Lecture（II） | CSIE70300 | 1.0 | 博一必修/1st Year Required | |
| 專題講座(三) | Special Topic Lecture（III） | CSIE70500 | 1.0 | 博二必修/2nd Year Required | |
| 專題講座(四) | Special Topic Lecture（IV） | CSIE70700 | 1.0 | 博二必修/2nd Year Required | |
| 專業選修(elective) | |||||
| 影像處理 | Image Processing | CSIE@0680 | 3.0 | ||
| 高等電腦視覺 | Advanced Computer Vision | CSIE@0730 | 3.0 | ||
| 虛擬實境 | Virtual Reality | CSIE@0650 | 3.0 | ||
| 人工智慧 | Artifical Intelligence | CSIE72400 | 3.0 | ||
| 柔性計算系統實務 | Realization of Soft Computing Systems | CSIE@0910 | 3.0 | ||
| 高等資訊檢索 | Advanced Information Retrieval | CSIE@0750 | 3.0 | ||
| 資料探勘 | Data Mining | CSIE@0800 | 3.0 | ||
| 機器學習 | Machine Learning | CSIE@0760 | 3.0 | ||
| 深度學習基石與實務 | Foundation and Practice of Deep Learning | CSIE@0620 | 3.0 | 原名「類神經網路」 | |
| 大數據分析 | Big Data Analytics | CSIE72700 | 3.0 | ||
| 高等演算法 | Advanced Algorithms | #000031000 | 3.0 | ||
| 圖型識別 | Pattern Recognition | CSIE@0700 | 3.0 | ||
| 智慧型系統設計 | Intelligent System Design | CSIE@0740 | 3.0 | ||
| 專案管理 | Project Management | CSIE72000 | 3.0 | ||
| 大數據系統 | Big Data Systems | CSIE@0840 | 3.0 | 原名「巨量資料系統」 | |
| 最佳化方法與應用 | Optimization Methods and Applications | CSIE@0890 | 3.0 | ||
| 電腦視覺與機器學習 | Machine Learning in Computer Vision | CSIE@0950 | 3.0 | 原名「電腦視覺與深度學習」 | |
| 推薦系統 | Recommender System | CSIE@0960 | 3.0 | ||
| 超大型積體電路設計 | Very Large Integrated Circuit Design | CSIE@0770 | 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 | CSIE72600 | 3.0 | ||
| 電腦網路與通訊 | Computer Networks and Communications | CSIE72500 | 3.0 | 原名「個人通訊網路」 | |
| 資訊安全管理系統 | Information Security Management System | CSIE@0860 | 3.0 | ||
| 高等圖形理論 | Advanced Graph Theory | CSIE@0720 | 3.0 | ||
| 物件導向式軟體工程 | Object-Oriented Software Engineering | CSIE@0690 | 3.0 | ||
| 系統晶片設計專題 | Special Topics on System-on-Chip Design | CSIE@0780 | 3.0 | ||
| 區塊鏈原理與應用 | BlockChain Principle and Application | CSIE@0930 | 3.0 | ||
| 編譯程式原理與設計 | Compilers Principles and Design | CSIE@0710 | 3.0 | 原名「高等編譯程式」 | |
| 程式語言原理與典型 | Programming Languages Principles and Paradigms | CSIE@0660 | 3.0 | 原名「高等程式語言」 | |
| 下一代網際網路 | Next Generation Internets | CSIE@0640 | 3.0 | ||
| 密碼學 | Cryptography | CSIE@0670 | 3.0 | ||
| 分散式系統 | Distributed Systems | CSIE71900 | 3.0 | ||
| 作業系統工程 | Operating System Engineering | CSIE@0810 | 3.0 | ||
| 數位學習科技 | Digital Learning Technology | CSIE@0850 | 3.0 | ||
| 最佳化與決策專題 | Topics on Optimization and Decision Making | CSIE@0880 | 3.0 | ||
| 智慧異質無線網路資源管理 | Intelligent Resource Management for Heterogeneous Wireless Networks | CSIE@0870 | 3.0 | 原名「異質無線網路漫遊與換手技術」 | |
| 高等應用統計學 | Advanced Applied Statistics | CSIE@0900 | 3.0 | ||
| 數位學習專論 | Advanced Digital Learning | CSIE@0940 | 3.0 | ||
| 智慧物聯網技術與應用 | Intelligent IoT Technologies and Applications | CSIE@0970 | 3.0 | ||
| 無人載具系統與應用 | Unmanned Vehicle System and Application | CSIE@0980 | 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 | CSIE@0990 | 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 | CSIE@1000 | 3.0 | ||
| 前瞻機器學習原理與技術 | Advanced Machine Learning Principles and Technology | CSIE72100 | 3.0 | ||
| 實務程式設計與應用 | Pragmatic Programming and Applications | CSIE@1010 | 3.0 | ||
| 臨床醫學與智慧醫療照護 | Clinical Medicine and Smart Healthcare | CSIE@1020 | 3.0 | ||
| 高互動多媒體設計之研究 | Highly Interactive Multimedia Design | CSIE72200 | 3.0 | ||
| 電腦對局理論 | Theory of Computer Games | CSIE@1040 | 3.0 | ||
| 科技促進語文學習研究 | Research on Technology-Enhanced Language Learning | CSIE72300 | 3.0 | ||
| *四、其他 | / | CSIE@0830 | 0.0 | ||
| 科技英文寫作 | Science and Technical Writing | CSIE@0820 | 3.0 | ||