1
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Introduction to R（程式環境介紹）
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Introduce the environment and applications of R program
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PowerPoint with case studies and assign homework to using basic mathematical R functions
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2
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Control Flow and Loops in R（控制流程與迴圈）
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Introduce basic methods to code control flow and loops in R
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PowerPoint with case studies and assign homework to writing self-defined R functions
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3
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Functions and Packages in R-I（函數與套件）
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Introduce functions and packages of statistical/mathematical methods in R
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PowerPoint with case studies and assign homework to using basic statistical R functions
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4
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Functions and Packages in R-II（函數與套件）
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Introduce functions and packages of statistical/mathematical methods in R
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PowerPoint with case studies and assign homework to using advanced statistical R functions
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5
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Data Manipulation and Visualization in R-I（資料處理與視覺化）
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Introduce functions and packages to import data and plot figures for visualization in R
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PowerPoint with case studies and assign homework to load/save data files for basic analysis in R
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6
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Data Manipulation and Visualization in R-II（資料處理與視覺化）
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Introduce functions and packages to import data and plot figures for visualization in R
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PowerPoint with case studies and assign homework with more plot functions for basic data analysis in R
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7
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Statistical Analysis in R-I（統計分析方法）
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Apply the functions and packages of statistical methods in R to data analysis
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PowerPoint with case studies and assign homework of advanced statistical analysis in R
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8
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Statistical Analysis in R-II（統計分析方法）
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Apply the functions and packages of statistical methods in R to data analysis
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PowerPoint with case studies and assign homework of more advanced statistical analysis in R
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9
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Midterm Exam （期中考）
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Midterm Exam
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Midterm Exam
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10
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Introduction to Python（程式環境介紹）
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Introduce the environment and applications of Python
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PowerPoint with case studies and assign homework to using basic mathematical Python functions
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11
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Control Flow and Loops in Python（控制流程與迴圈）
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Introduce basic methods to write control flow and loops in Python
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PowerPoint with case studies and assign homework to writing self-defined Python functions
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12
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Functions and Modules in Python-I（函式與模組）
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Introduce functions and modules of machine learning methods in Python
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PowerPoint with case studies and assign homework to using basic machine learning Python functions
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13
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Functions and Modules in Python-II（函式與模組）
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Introduce functions and modules of machine learning methods in Python
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PowerPoint with case studies and assign homework to using advanced machine learning Python functions
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14
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Files and Exceptions in Python（檔案與錯誤處理）
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Introduce to read, write and append data files, and realize the exceptions in Python
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PowerPoint with case studies and assign homework to load/save data files for basic analysis in Python
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15
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Object-Oriented Programming in Python（物件導向程式設計）
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Introduce basic conceptual ideas of object-oriented programming in Python
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PowerPoint with case studies and assign homework of advanced statistical analysis in Python
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16
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Final Exam（期末考）
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Final Exam
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Final Exam
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17
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Review of R program（R軟體回顧）
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A comprehensive review of R program by students
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Review
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18
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Review of Python（Python回顧）
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A comprehensive review of Python by students
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Review
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