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
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課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 6194
- 學分 Credit: 3-0
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上課時間 Course Time:Thursday/1,2,3[M438]
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授課教師 Teacher:林正祥
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修課班級 Class:統計碩1,2
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