應用多變量分析與機器學習

Applied Multivariate Analysis and Machine Learning

學期

112-1

學分

3 學分

當期課號

534006

永久課號

HSIE30073

開課單位

教育研究所

授課教師

吳俊育

校區

光復

類別

必修

上課時間表

節	週三
3 10:10–11:00	應用多變量分析與機器學習 HA216 3 節連堂
4 11:10–12:00
N 12:20–13:10

* 根據陽明交大上課時間表所列

概述

With the Project-based Learning, there are four major goals of this course: to understand the concepts related to Multivariate Analysis/Machine Learning; to be able to specify your own models and analyze the data using one of the Stat. programs; to be able to interpret the statistical findings to lay persons. We will be using the R program to perform the analyses.

先修科目

Students are expected to have basic knowledge on ANOVA, and Multiple Regression. Students who have not taken the required courses (e.g. Adv. Stats, IED 5895) have to meet with me before they register for this course.

教學方式

課程第一週為實體授課【HA216】,往後課程搭配同步網路、非同步網路授課與實體授課,課程連結於課前公布。

評分方式

Homework Term project and final presentation Class presentation In-class and Facebook group participation Computer Lab and Experiments of multi-modal behavioral and psychological data analysis.

週次計畫

週次	主題
第 1 週	第一週為實體授課,請務必出席【授課教室更改為HA216】 Syllabus & Why Study Multivariate Analysis and Machine Learning in Substantive Research?
第 2 週	L2:Multivariate Analysis of Variance
第 3 週	L2:MANOVA [Disscussion and Case study]
第 4 週	L3:Unsupervised ML & Cluster Analysis
第 5 週	L3:Unsupervised ML & Cluster Analysis [Disscussion and Case study]
第 6 週	L4:Canonical Correlation Analysis & Association Analysis
第 7 週	L4:CCA&AA [Disscussion and Case study]
第 8 週	L6&L7:Principle Component Analysis & Exploratory Factor Analysis
第 9 週	Term Project Proposal
第 10 週	L6&L7:PCA & EFA [Disscussion and Case study]
第 11 週	L5:Supervised ML: Descriptive Discriminant Analysis, Random Forest, Support Vector Machine, Logistic Regression (NN)
第 12 週	L7:Supervised ML: DDA, RF, SVM, Logistic Regreesion(NN) [Disscussion and Case study]
第 13 週	Statistics Discussion全校運動會(停課)
第 14 週	Oral Exam
第 15 週	Project Preparation and Data Visualization
第 16 週	Term Project Presentation (期末考週)

Office Hours

地點: TBA
時間: TBA
聯絡方式: 分機:31843 Email:jiunyuwu@nycu.edu.tw