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2018年課程

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2018年課程

    IPM課程區分為「核心統計方法」和「主題統計方法」兩個部分課程將採全英語授課。總上課時數為78小時(13),包括授課、電腦操作與學員報告,學員必須全程參與課程。本年度的主題課程為「類別資料分析  (Categorical Data Analysis)」,課程內容如下:

 
核心統計方法課程:

l   Maximum Likelihood Estimation (M.L.E.) 

l   Regression 

l   Introduction to R

l   Categorical Data Analysis

l   Research Design 

l   Advanced topic of Categorical Data Analysis

l   Causal Inference

l   Game Theory

l   SPM sponsored Course

l   Behavioral Economics

l   Introduction to Machine Learning 

l   Multi-level Data Analysis and TSCS data analysis

l  Bayesian Statistics


主題統計方法課程:
 (TBA)

l   Hierarchical Age-Period-Cohort Analysis

l   Multi-level Analysis

l   Multi-level Synthesis: A Spatial Microsimulation Approach


2018年授課師資如下:

u  Keynote speaker: Richard Williams (Dept. of Sociology, University of Notre Dame)

u  Michael Ting (Dept. of Political Science, Columbia University)

u  T.Y. Wang (Dept. of Politics and Government, Illinois State University)

u  Tse-min Lin (Dept. of Government, University of Texas at Austin)

u  Eric Chang (Dept. of Political Science, Michigan State University)

u  Yukio Maeda (Center for Social Survey and Data Archives, the University of Tokyo)

u  Yu-Sung Su (Dept. of Political Science, Tsinghua University(Beijing))

u  Chi Huang (Dept. of Political Science, National Chengchi University/ Election Study Center at the National Chengchi University)

u  Chia-hung Tsai (Election Study Center , National Chengchi University / Graduate Institute of East Asian Studies, National Chengchi University)

u  Tsung-han Tsai (Dept. of Political Science, National Chengchi University)

u  Wen-Chin Wu (Institute of Political Science at Academia Sinica)

2018詳細課程表如連結附檔:

2018 IPM Class Schedule





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