108 Academic Year (2019 Admission) NDHU CSIE International Master Program Planning
A. Minimum Graduate credits: | |||||
Minimum Requirements:30 credits | |||||
Compulsory Courses: 6 Credits | |||||
Elective Courses: 24 Credits | |||||
B. Important Rules and Regulations: | |||||
1. At least half (1/2) of the courses studied must be offered by the Department of Computer Science & Information Engineering.
2. Master’s students may select any Master and/or Ph.D. level courses to study; the course credits can be counted toward graduation. 3. Credits earned in courses of the same name offered by other departments or institutes may be substituted (up to 12 credits maximum) toward elective course requirements with the approval of the Departmental Graduate Studies Committee. Credits earned from CSIE courses are exempted from the credit substitution limit. 4. Each master student must select “Special Topic Lecture” (I), (II), (III) and (IV) course each semester while in program or until graduation. 5. Each master student must select “Thesis” course every semester while in program or until graduation. At most 4 credits earned by this course can be counted toward the graduation. 6. All students must pass the Primary Programming Proficiency Exam in order to graduate. 7. All students must fulfill the English Proficiency Requirement for Graduate Students in order to graduate. 8. In addition to this requirement, all scholarship awardees must follow the scholarship regulations and requirements to complete the degree. 9. All Master/Ph.D. students shall Take and Pass the “Academic Research Ethics Education Curriculum” from the “Taiwan Academic Ethics Education Resource Center” online platform. Please come to the CSIE Department Office to register this class and present the qualified certificate. All Master/Ph.D. students must pass this requirement before Oral Defense Exam. |
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Course Title | English Course Title | Course Code | Credit | Remark | |
Compulsory Courses | |||||
論文研究 | Thesis | CSIEM0400 | 2.0 | Compulsory every semester | |
專題講座(一) | Special Topic Lecture (Ⅰ) | CSIEM0020 | 1.0 | First grade required | |
專題講座(二) | Special Topic Lecture (Ⅱ) | CSIEM0080 | 1.0 | First grade required | |
Elective Courses | |||||
深度學習基石與實務 | Foundation and Practice of Deep Learning | CSIEM0310 | 3.0 | Original name: Neural Networks | |
分散式系統 | Distributed Systems | CSIEM0140 | 3.0 | ||
電腦網路與通訊 | Computer Networks and Communications | CSIEM0250 | 3.0 | Original name: Personal Communications Network | |
下一代網際網路 | Next Generation Internets | CSIEM0120 | 3.0 | ||
虛擬實境 | Virtual Reality | CSIE@0580 | 3.0 | ||
數位訊號處理 | Digital Signal Processing | CSIE@0610 | 3.0 | ||
計算理論 | Theory of Computation | CSIE@0590 | 3.0 | ||
高等程式語言 | Advanced Programming Languages | CSIEM0150 | 3.0 | ||
高等演算法 | Advanced Algorithms | CSIE@0620 | 3.0 | ||
密碼學 | Cryptography | CSIEM0300 | 3.0 | ||
高等資料庫系統 | Advanced Database System | CSIEM0070 | 3.0 | ||
高等計算機結構 | Advanced Computer Architecture | CSIE@0560 | 3.0 | ||
影像處理 | Image Processing | CSIEM0180 | 3.0 | ||
物件導向式軟體工程 | Object-Oriented Software Engineering | CSIEM0260 | 3.0 | ||
人工智慧 | Artifical Intelligence | CSIEM0270 | 3.0 | ||
高等計算機圖學 | Advanced Computer Graphics | CSIE@0570 | 3.0 | ||
圖型識別 | Pattern Recognition | CSIEM0230 | 3.0 | ||
高等編譯程式 | Advanced Compilers | CSIE@0650 | 3.0 | Original name: Advanced Compiler Theory | |
計算生物學 | Computational Biology | CSIEM0320 | 3.0 | ||
高等軟體工程 | Advanced Software Engineering | CSIE@0660 | 3.0 | ||
高等圖形理論 | Advanced Graph Theory | CSIEM0280 | 3.0 | ||
高等電腦繪圖系統設計 | Advanced Computer Graphics System Design | CSIE@0670 | 3.0 | ||
高等電腦視覺 | Advanced Computer Vision | CSIE@0680 | 3.0 | ||
智慧型系統設計 | Intelligent System Design | CSIE@0690 | 3.0 | ||
專案管理 | Project Management | CSIE@0700 | 3.0 | ||
高等資訊檢索 | Advanced Information Retrieval | CSIEM0420 | 3.0 | ||
機器學習 | Machine Learning | CSIEM0170 | 3.0 | ||
超大型積體電路設計 | Very large integrated circuit design | CSIE@0720 | 3.0 | Original name: Application-Specific Integrated Circuits Design | |
系統晶片設計專題 | Special Topics on System-on-Chip Design | CSIE@0740 | 3.0 | ||
嵌入式系統軟體設計 | Software Development for Embedded Systems | CSIE@0760 | 3.0 | ||
無線網際網路 | Wireless Internet | CSIEM0160 | 3.0 | ||
錯誤控制碼理論 | Error Control Coding | CSIE@0770 | 3.0 | ||
普及計算 | Pervasive Computing | CSIE@0780 | 3.0 | ||
資料探勘 | Data Mining | CSIE58600 | 3.0 | ||
語音處理與辨識 | Speech Processing and Recognition | CSIE@0790 | 3.0 | ||
高等資料結構 | Advanced Data Structures | CSIE@0800 | 3.0 | ||
數位遊戲與人工智慧 | Artificial Intelligence in Digital Games (Game AI) | CSIE@0830 | 3.0 | ||
平行計算 | Parallel Computing | CSIEM0290 | 3.0 | ||
雲端計算 | Cloud Computing | CSIEM0060 | 3.0 | ||
作業系統工程 | Operating system engineering | CSIEM0360 | 3.0 | ||
智慧行動應用設計 | Smart Mobile Application Design | 3.0 | |||
大數據系統 | Big Data Systems | CSIEM0410 | 3.0 | ||
數位學習科技 | Digital Learning Technology | 3.0 | |||
資訊分享管理技術 | Information sharing technology | 3.0 | |||
資訊安全管理系統 | Information Security Management System | CSIEM0390 | 3.0 | ||
最佳化與決策專題 | Topics on optimization and decision making | CSIEM0050 | 3.0 | ||
異質無線網路漫遊與換手技術 | Roaming and Handoff Technologies of Heterogeneous Wireless Networks | 3.0 | |||
最佳化方法與應用 | Optimization methods and applications | CSIEM0380 | 3.0 | ||
網路服務與應用 | Network services and applications | 3.0 | |||
高等應用統計學 | Advanced Applied Statistics | 3.0 | |||
智慧型數位學習 | Intelligent digital learning | 3.0 | |||
柔性計算系統實務 | Realization of Soft Computing Systems | CSIEM0370 | 3.0 | ||
大數據分析 | Big Data Analytics | CSIEM0350 | 3.0 | ||
柔性計算 | Soft Computing | CSIEM0130 | 3.0 | ||
LoRa網路程式設計服務 | LoRaWAN program design and service | CSIEM0330 | 3.0 | ||
區塊鏈原理與應用 | BlockChain Principle and Application | 3.0 | |||
數位學習專論 | Advanced Digital Learning | CSIEM0340 | 3.0 | ||
電腦視覺與深度學習 | Deep Learning in Computer Vision | 3.0 | |||
*Others | / | ||||
專題講座(三) | Special Topic Lecture (Ⅲ) | CSIEM0040 | 1.0 | ||
專題講座(四) | Special Topic Lecture (Ⅳ) | CSIEM0090 | 1.0 | ||
科技英文寫作 | Science and Technical Writing | CSIE@0900 | 3.0 |