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Courses

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Courses / Courses

  • Course List
  • NTU Online Course Information
  • These courses are conducted in English
      Curriculum Number Course title Instructor Category


    2016 Fall
    CSIE5047
    922 U1070
    Robotics Li-Chen Fu A
    CSIE5610
    922 U4350
    Special Topics in Data Analytics and Modeling Biing-Hwang Juang  




    2016 Spring

     
    NM7613
    944 U0120
    Music Signal Analysis and Retrieval Jyh-Shing Roger Jang M
    CSIE5123
    922 U0280
    Numerical Method Chih-Jen Lin MNA
    CSIE5400
    922 U3020
    Artificial Intelligence Yung-Jen Hsu MNA
    CSIE5323
    922 U4170
    Application of Big Data System Steven Liao NA




    2015 Fall

     
    CSIE7007
    922 M1220
    Advanced Artificial Intelligence Yung-Jen Hsu MNA
    CSIE5047
    922 U1070
    Robotics Li-Chen Fu A
    CSIE7435
    922 U3940
    Topics in Machine Learning Chih-Jen Lin A
    CSIE5315
    922 U4260
    Bitcoin in the Big Data Era Steven Liao A



    2015 Spring

     
    NM7613
    944 U0120
    Music Signal Analysis and Retrieval Jyh-Shing Roger Jang M
    CSIE5400
    922 U3020
    Artificial Intelligence Yung-Jen Hsu MNA
    CSIE7633
    922 U1940
    Virtual Reality Ming Ouhyoung M


    2014 Fall
    CSIE5047
    922 U1070
    Robotics Li-Chen Fu A
    CSIE
    922 U4210
    Android Platform backed by Big Data Analytics Steven Liao NA
    2014 Spring CSIE5123
    922 U0280
    Numerical Method Chih-Jen Lin MNA
    CSIE7633
    922 U1940
    Virtual Reality Ming Ouhyoung M
    CSIE7413
    922 U3050
    Multiagent Systems Yung-Jen Hsu NA
    CSIE7435
    922 U3940
    Topics in Machine Learning Chih-Jen Lin A
    CSIE5312
    922 U4190
    Andorid Virtual Machines and Compilers Steven Liao A
    CSIE5323
    922 U4170
    Application of Big Data System Steven Liao NA
    NM7613
    944 U0120
    Music Signal Analysis and Retrieval Jyh-Shing Roger Jang M
    2013 Fall
    CSIE5047
    922 U1070
    Robotics Li-Chen Fu A
    CSIE5400
    922 U3020
    Artificial Intelligence Yung-Jen Hsu MNA
    2013 Spring
    CSIE7007
    922 M1220
    Advanced Artificial Intelligence Yung-Jen Hsu MNA
    CSIE5123
    922 U0280
    Numerical Method Chih-Jen Lin MNA
    CSIE7633 922 U1940 Virtual Reality Ming Ouhyoung M
    CSIE7324
    922 U3960
    Topics in Cloud Computing Ya-Yunn Su A
    2012 Fall
    CSIE7010
    922 M1360
    Advanced Operating System Ya-Yunn Su NA
    CSIE5043
    922 U0960
    Machine Learning Hsuan-Tien Lin M
    CSIE5047
    922 U1070
    Robotics Li-Chen Fu A
    CSIE5400
    922 U3020
    Artificial Intelligence Yung-Jen Hsu MNA
    l   Courses in the GINM are categorized into three categories: Multimedia technology(M), Networking technology(N) and Systems and Application(A).
    Ph.D., Program
    Master Program
    To graduate, students have to take at 18 credits from GINM (for those entering through direct admission to the Doctoral Program, the minimum credit required is 30). Among these credits, at least 6 credits must be from the category of multi-media technology, credits from networking technology, and at least 3 credits must be from the systems and application category.
     
    To graduate, each GINM master student has to earn at least 24 credits (excluding master thesis, special project and seminar). Among these 24 credits, at least 6 should be from the multimedia technology, at least 6 from networking technology category, and at least 3 from the systems and application category.
     

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