類別資料探索分析是資料分析的廣泛工具，目的是從類別型的資料中萃取真實資訊以協助科學或產業應用上發現新知。本課程將以翻轉教室的形式授課，介紹不同類別探索分析的主題（主題內容請見課程大綱），上課前學生自行觀看錄影檔，並在課堂進行實作與討論。實作採用 R 語言編寫程式分析實際數據，並在期中與期末報告以各自建立的 R Shiny 分析平台實際演練。
課程大綱(中英文):
週次 課程內容
1 Introduction to CEDA
2 Introduction to R
3 Introduction to Shiny
4 Case Studies
5 Analysis of Histogram (ANOHT) to replace ANOVA
6 Categorical conditional entropy and whole data mimicking
7 Information content of Multiclass Classification (MCC)!
8 Discovery and testing patterns in color images
9 Open and wild associations contained in data!
10 Response manifold analytics (RMA) in PITCHf/x.
11 CEDA in rhythmic time series.
12 CEDA in arrhythmic time series.
13 Real world views of CEDA-based Data Intelligence(D.I.) vs A.I.
14 Proposal
15 Data Analysis and Discussion (I)
16 Data Analysis and Discussion (II)
17 Data Analysis and Discussion (III)
18 Final Presentation