6194 - 統計資料分析方法

Statistical Methods for Data

教育目標 Course Target

本課程旨以廣義線性模型之應用為主軸,探討一些重要的統計分析方法,主要是讓學習者能選擇適當的統計模型來進行數據分析及詮釋結果,以SAS為主輔以Splus做為資料分析之用。另一方面,本課程亦將就近年來方興未艾的大數據分析與統計資料分析之異同做一簡要介紹。

This course aims to focus on the application of broad linear models and explore some important statistical analysis methods, mainly to enable learners to choose appropriate statistical models for data analysis and evaluation results, with SAS as the main method and Splus as the data analysis. On the other hand, this course will also give a brief introduction to the differences between the large data analysis and statistical data analysis that have been in full swing in recent years.

課程概述 Course Description

本課程旨以廣義線性模型之應用為主軸,探討一些重要的統計分析方法,主要是讓學習者能選擇適當的統計模型來進行數據分析及詮釋結果,以SAS為主輔以Splus做為資料分析之用。另一方面,本課程亦將就近年來方興未艾的大數據分析與統計資料分析之異同做一簡要介紹。

This course aims to focus on the application of broad linear models and explore some important statistical analysis methods, mainly to enable learners to choose appropriate statistical models for data analysis and evaluation results, with SAS as the main method and Splus as the data analysis. On the other hand, this course will also give a brief introduction to the differences between the large data analysis and statistical data analysis that have been in full swing in recent years.

參考書目 Reference Books

相關參考書及學術網路上之教材

Related reference books and teaching materials on the academic network

評分方式 Grading

評分項目
Grading Method
配分比例
Percentage
說明
Description
期中考
Midterm exam
25
作業
Action
25
期末報告及課堂參與
Final report and class participation
50

授課大綱 Course Plan

點擊下方連結查看詳細授課大綱
Click the link below to view the detailed course plan

查看授課大綱 View Course Plan

相似課程 Related Courses

無相似課程 No related courses found

課程資訊 Course Information

基本資料 Basic Information

  • 課程代碼 Course Code: 6194
  • 學分 Credit: 3-0
  • 上課時間 Course Time:
    Thursday/1,2,3[M438]
  • 授課教師 Teacher:
    林正祥
  • 修課班級 Class:
    統計碩1,2
選課狀態 Enrollment Status

目前選課人數 Current Enrollment: 1 人

交換生/外籍生選課登記

請點選上方按鈕加入登記清單,再等候任課教師審核。
Add this class to your wishlist by clicking the button above.