《应用回归分析》课程设计教学大纲

时间:2022-07-05浏览:10

一、课程基本信息

课程代码:102254

课程名称:应用回归分析

英文名称:Applied Regression Analysis 

课程类别:专业课

学  时:64

  分:4

适用专业:统计学、应用统计学、数据科学与大数据技术

先修课程:高等数学、线性代数、概率论、数理统计

 

Course Code: 102254

Course Title: Applied Regression Analysis

English name: Applied Regression Analysis

Course Category: Professional Course

Hours: 64

Credits: 4

Applicable majors: Statistics, Applied Statistics, Data Science and Big Data Technology

Prerequisites: Advanced Mathematics, Linear Algebra, Probability Theory, Mathematical Statistics

二、课程简介

本课程是统计学、应用统计学、数据科学与大数据技术专业的一门专业方向课,该课程主要介绍了回归分析的主要方法和思想,这些方法在经济、管理、医学、生物、社会学等各个领域得到了广泛的应用。通过本课程的学习,让学生会应用回归分析中的诸多方法进行数据分析和建模,通过和不同的学科知识相结合,对所考虑具体问题给出合理的推断。

This course is a specialized course for the majors of statistics, applied statistics, data science and big data technology. It mainly introduces the main methods and ideas of regression analysis, which have been widely applied in various fields such as economy, management, medicine, biology, sociology, etc. Through the study of this course, students will apply many methods of regression analysis to data analysis and modeling, and give reasonable inferences to specific problems by combining with different subject knowledge.