1932 - 數據分析及程式寫作 英授 Taught in English

Data Analysis and Statistical Programming

教育目標 Course Target

This course aims to provide a through training for students to learn the basic knowledge and tools for data analysis and statistical programming. With step-by-step instruction and practice, students get to learn how to master a complete set of research tools, including managing data sets, creating and changing variables, producing graphics, writing statistical programs, performing regression and quantitative analyses. By the end of the training, students will be able to handle data analysis and programming assignments as well as independent quantitative research tasks.

This course aims to provide a through training for students to learn the basic knowledge and tools for data analysis and statistical programming. With step-by-step instruction and practice, students get to learn how to master a complete set of research tools, including managing data sets, creating and changing variables, producing graphics, writing statistical programs, performing regression and quantitative analyses. By the end of the training, students will be able to handle data analysis and programming assignments as well as independent quantitative research tasks.

課程概述 Course Description

本課程教授數據分析方法及程式寫作技巧,並以經濟學實例,講述基礎計量分析的應用。課程內容以經濟學及社會科學常用的統計軟體STATA為主,採實例講授與實機操作方式,介紹資料管理、變數運算、圖表製作、程式寫作及數據分析等技巧,執行經濟學常用的計量模型、估計、檢定、多變量分析及迴歸分析等應用。課程規劃訓練學生除了具有程式寫作及使用各項數據分析工具能力外,並可進一步討論及剖析數據背後的意涵。

This course teaches data analysis methods and program writing skills, and uses economic examples to describe the application of basic quantitative analysis. The content of the course is mainly based on STATA, a statistical software commonly used in economics and social sciences. It adopts case teaching and practical operation methods to introduce skills such as data management, variable operations, chart making, program writing and data analysis, and implement commonly used econometric models, estimation, testing, multivariate analysis and regression analysis in economics. The course planning trains students not only to have the ability to write programs and use various data analysis tools, but also to further discuss and analyze the meaning behind the data.

參考書目 Reference Books

將使用課程講義為主要教材

Course handouts will be used as the main teaching material

評分方式 Grading

評分項目
Grading Method
配分比例
Percentage
說明
Description
Class Participation & Homework
Class Participation & Homework
30
Midterm Evaluation
Midterm Evaluation
30
Programming Project
Programming Project
40

授課大綱 Course Plan

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相似課程 Related Courses

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課程資訊 Course Information

基本資料 Basic Information

  • 課程代碼 Course Code: 1932
  • 學分 Credit: 0-3
  • 上課時間 Course Time:
    Thursday/2,3,4[ST020]
  • 授課教師 Teacher:
    謝銘逢/施琇涵
  • 修課班級 Class:
    經濟系3,4
  • 選課備註 Memo:
    一般組及產經組指定選修學分,不辦理老師簽名選課。先修:基礎計
選課狀態 Enrollment Status

目前選課人數 Current Enrollment: 19 人

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