《多元应用统计分析》课程简介（36课时）

随着计算机技术的发展，各个领域对数据分析与计算的需求也越来越高，如何从数据中得到有效的信息和知识成为关键问题。本课程主要讲授多元统计的基本理论与概念、各个分支及应用,包括方差分析、聚类、判别分析、主成分分析、因子分析、多元统计作图等几个主要的部分，其中方差分析主要讲授单因素方差分析、聚类部分主要讲授K-means和层次聚类分析；判别分析主要讲授距离判别、贝叶斯判别、费希尔判别及应用。

课程通过案例分析、上机练习提高学生应用数据挖掘和多元统计的方法解决实际问题的动手能力。开设的实验项目包括多元应用统计方法的实现：方差分析、相关分析、主成分分析、因子分析、多元统计作图等。所需软件：Excel、SPSS等.

Applied Multivariate Statistical Analysis (36 hours)

With the development of computer technology, the demand for data analysis and calculations in various fields are also increasing. How to get effective information and knowledge from the data has become the key issues. The basic theories，concepts and branches of multivariate statistics would be taught in this course. It includes analysis of variance (one-way ANOV), discriminant analysis (distance based, Bayes based, Fisher’s LDA), clustering (K-means clustering, Hierarchy clustering), principal component analysis, factor analysis, and so on.

Case studies and computer exercises are needed in this course for students' practical ability improving. The project includes the application of multivariate statistical analysis techniques: analysis of variance, linear discriminant analysis, clustering, principal component analysis, factor analysis, and multivariate statistical graph and so on. Software required: Excel, SPSS etc.

《多元应用统计分析》课程教学进度计划