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1.017 / 1.010环境应用计算和数据分析

1.017 / 1.010 Computing and Data Analysis for Environmental Applications
课程网址: http://ocw.mit.edu/courses/civil-and-environmental-engineering/1-...  
主讲教师: Prof. Dennis McLaughlin
开课单位: 麻省理工学院
开课时间: 信息不详。欢迎您在右侧留言补充。
课程语种: 英语
中文简介:
本课程是一个面向计算机的概率和数据分析导论。它旨在为学生提供解释实验室和现场数据所需的知识和实践经验。由于基本概率概念为描述不确定性提供了一种系统的方法,因此从一开始就引入了基本概率概念。它们是科学和工程定量数据分析的基础。matlabã;‚â;®;编程语言用于执行虚拟实验和分析现实数据集,许多数据集是从Web下载的。编程应用包括数据集的显示和评估、假设的调查以及变量之间可能的偶然关系的识别。这是第一学期,环境应用计算和数据分析(1.017)和工程不确定性(1.010)这两门课程正在联合开设,并作为一门课程授课。
课程简介: This subject is a computer-oriented introduction to probability and data analysis. It is designed to give students the knowledge and practical experience they need to interpret lab and field data. Basic probability concepts are introduced at the outset because they provide a systematic way to describe uncertainty. They form the basis for the analysis of quantitative data in science and engineering. The MATLAB® programming language is used to perform virtual experiments and to analyze real-world data sets, many downloaded from the web. Programming applications include display and assessment of data sets, investigation of hypotheses, and identification of possible casual relationships between variables. This is the first semester that two courses, Computing and Data Analysis for Environmental Applications (1.017) and Uncertainty in Engineering (1.010), are being jointly offered and taught as a single course.
关 键 词: 概率; 随机变量; 单变量分布的多元分布; 传播的不确定性; 伯努利试验; 条件概率; 贝叶斯规则; 随机抽样; 点估计
课程来源: 麻省理工学院公开课
最后编审: 2017-04-13:cmh
阅读次数: 27