教學時程

研究方法II博士生研討會

因舊版課程無指定課堂作業與考試，因此統整所有作業、講義、考試內容合併列出。

課	課程單元	重要日期
1	導讀：課程目標與運算 Introduction: Course Goals and Logistics
2	理論：普通最小平方迴歸 Principles: Ordinary Least Squares Regression
3	應用：普通最小平方迴歸 Applications: Ordinary Least Squares Regression	口頭報告 Presentations of worked data
4	理論：二元結果模型 Principles: Models for Binary Outcomes
5	應用：二元結果模型 Applications: Models for Binary Outcomes	口頭報告 Presentations of worked data
6	理論：計算模型 Principles: Models for Counts
7	應用：計算模型 Applications: Models for Counts	口頭報告 Presentations of worked data
8	理論：跨區域整合／時間序列分析 Principles: Pooled Cross-Section/Time Series Analysis
9	應用：跨區域整合／時間序列分析 Applications: Pooled Cross-Section/Time Series Analysis	口頭報告 Presentations of worked data
10	理論：事件歷史分析與數據架構之基礎概念 Principles: Basic Concepts of Event History Analysis and Data Structures
11	理論：事件歷史數據之敘述統計 Principles: Descriptive Statistics for Event History Data
12	理論：事件歷史數據之模型 Principles: Models for Event History Data
13	應用：事件歷史分析 Applications: Event History Analysis	口頭報告 Presentations of worked data
14	回顧與整合 Review and Wrap-up