● 課程說明(Course Desc<x>ription)
<br>Statistics and Data Science play vital roles in scientific research and their 
<br>goal is to make such an iterative learning process as efficient as possible. 
<br>To achieve this goal, we may encounter the analysis of and make inference on 
<br>data from 3-dimensional perspectives (observation, variable and time horizon). 
<br>From a static (cross-sectional) viewpoint with prefixed time horizon, one 
<br>could investigate the inter-dependence structures (or associations) among all 
<br>collected variables as well as cluster observational units into homogeneous or 
<br>heterogeneous subgroups and make further analysis. Furthermore, to account for 
<br>temporal evolution, time series analysis may provide a proactive tool to 
<br>address the dynamic structures of all variables. Topics to be covered in this 
<br>course, therefore, include: DOE/robust design, sampling methods, data 
<br>visualization, low-dimensional summary for big data, reliability analysis, 
<br>regression and time series analysis, classification and clustering, prediction 
<br>and feature selection.
<br>
<br>● 指定用書(Text Books)
<br>自編講義
<br>
<br>● 教學方式(Teaching Method)
<br>課堂觀念講授、軟體操作說明、案例練習
<br>
<br>● 教學進度(Syllabus)
<br>(Tseng)	Weak 1. Introduction 
<br>(Tseng)	Weak 2. Design of experiments & robust design
<br>(Tseng)	Weak 3. Design of experiments & robust design
<br>(All)	Weak 4. Project proposal 
<br>(Tseng)	Weak 5. Quality and reliability inference
<br>(Tseng)	Weak 6. Quality and reliability inference
<br>(Tseng) Weak 7.  Fault detection and classification (個案分析)
<br>(Hsu)   Weak 8. Data desc<x>ription and collection (sampling methods)
<br>(Hsu)	Weak 9  Multivariate analysis
<br>(Hsu)	Weak 10.Prediction: regression analysis
<br>(Hsu)	Weak 11.Classification and clustering 
<br>(Hsu)	Weak 12.個案分析
<br>(Ing)	Weak 13.General modeling procedure
<br>(Ing)   Weak 14.Time series: analysis of serially correlated data
<br>(Ing)   Weak 15.Model selection: explanation vs. prediction
<br>(Ing)   Weak 16.Feature selection for high-dimensional data
<br>(Ing)	Weak17.個案分析
<br>(All)	Weak 18.Student Project Presentation
<br>
<br>● 成績考核(Evaluation)
<br>期中、末報告
<br>