113 Academic year Curriculum planning table-Internationa Master Programm of CSIE

113學年度 資訊工程學系碩士班國際組 課程規劃表
113 Academic year Curriculum planning table

I.Minimum graduation credits:
  Graduation credits:30.0
  Professional Required:6.0
  Professional elective:24.0
II.(Important regulations):

  1. At least half (1/2) of the courses taken must be offered by the Department of Computer Science & Information Engineering.
  2. Master’s students may select any Master’s and Ph.D. level courses to study; the course credits can be counted toward graduation credits.
  3. Credits earned in courses of the same name offered by other departments or institutes may be transferred (up to a maximum of 12 credits) toward required elective courses with the approval of the Departmental Graduate Studies Committee. Credits earned from CSIE courses are exempt from the above-mentioned credit transfer limit.
  4. Master’s students must select a corresponding “Special Topic Lecture” (I), (II), (III), or (IV) course every semester while in the program or until graduation. Only the credits from “Special Topic Lecture”(I) and (II) can be counted toward the graduation credits.
  5. Master’s students must select a “Thesis” course every semester while in the program or until graduation. At most, 2 “Thesis” courses, i.e., 4 credits earned, can be counted toward the graduation credits.
  6. In order to graduate, all students must fulfill the English Proficiency Requirement for Graduate Students.
  7. Every student (including double-major students) in this department must take the “Programming Ability Certification” course for graduation, despite their grades.
  8. Besides the current curriculum requirements, all scholarship awardees must follow the scholarship regulations and requirements to complete the degree.
  9. All Master’s/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 for this class and present the qualified certificate. All Master’s/Ph.D. students must pass this requirement before applying for the Oral Defense Exam.
  10. NDHU CSIE Master Degree (International Group)
    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 or until graduation. Only the credits from “Special Topic Lecture” (I) and (II) can be counted toward the 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 graduation.
    6. Every student (including double-major students) in this department is required to take the “Programming Ability Certification” course to acquire an assessed grade. However, the graduation will not be affected by the level of the grade.      
     
中文名英文名(Course Title)學分(Credits)
必修(Required)
論文研究Thesis2
專題講座(一)Special Topic Lecture (Ⅰ)1
專題講座(二)Special Topic Lecture (Ⅱ)1
選修(Elective)
影像處理Image Processing3
數位訊號處理Digital Signal Processing3
高等電腦視覺Advanced Computer Vision3
虛擬實境Virtual Reality3
高等計算機圖學Advanced Computer Graphics3
高等電腦繪圖系統設計Advanced Computer Graphics System Design3
人工智慧Artifical Intelligence3
計算生物學Computational Biology3
柔性計算系統實務Realization of Soft Computing Systems3
高等資訊檢索Advanced Information Retrieval3
資料探勘Data Mining3
機器學習Machine Learning3
深度學習基石與實務Foundation and Practice of Deep Learning3
大數據分析Big Data Analytics3
計算理論Theory of Computation3
高等演算法Advanced Algorithms3
圖型識別Pattern Recognition3
智慧型系統設計Intelligent System Design3
專案管理Project Management3
語音處理與辨識Speech Processing and Recognition3
大數據系統Big Data Systems3
最佳化方法與應用Optimization methods and applications3
電腦視覺與機器學習Machine Learning in Computer Vision3
推薦系統Recommender System3
超大型積體電路設計Very large integrated circuit design3
嵌入式系統軟體設計Software Development for Embedded Systems3
無線網際網路Wireless Internet3
電腦網路與通訊Computer Networks and Communications3
資訊安全管理系統Information Security Management System3
平行計算Parallel Computing3
雲端計算Cloud Computing3
高等圖形理論Advanced Graph Theory3
物件導向式軟體工程Object-Oriented Software Engineering3
LoRa網路程式設計服務LoRaWAN program design and service3
系統晶片設計專題Special Topics on System-on-Chip Design3
區塊鏈原理與應用BlockChain Principle and Application3
編譯程式原理與設計Compilers Principles and Design3
程式語言原理與典型Programming Languages Principles and Paradigms3
下一代網際網路Next Generation Internets3
密碼學Cryptography3
高等資料庫系統Advanced Database System3
錯誤控制碼理論Error Control Coding3
分散式系統Distributed Systems3
作業系統工程Operating system engineering3
數位學習科技Digital Learning Technology3
最佳化與決策專題Topics on optimization and decision making3
智慧異質無線網路資源管理Intelligent Resource Management for Heterogeneous Wireless Networks3
網路服務與應用Network services and applications3
高等應用統計學Advanced Applied Statistics3
智慧型數位學習Intelligent digital learning3
柔性計算Soft Computing3
數位學習專論Advanced Digital Learning3
智慧物聯網技術與應用Intelligent IoT technologies and applications3
程式設計能力檢定Programming Ability Certification0
無人載具系統與應用Unmanned Vehicle System and Application3
次世代行動網路技術與應用Next Generation Mobile Networks: Emerging Technologies and Applications3
社群網路與推薦系統Social Networks and recommander systems3
前瞻機器學習原理與技術Advanced Machines Learning Principles and Technology 3
實務程式設計與應用Pragmatic Programming and Applications 3
永續之創意數位學習Creative Digital Learning with Sustainability 3
臨床醫學與智慧醫療照護Clinical Medicine and Smart Health 3
其他(Others)
專題講座(三)Special Topic Lecture (Ⅲ)1
專題講座(四)Special Topic Lecture (Ⅳ)1
科技英文寫作Science and Technical Writing3