1.017 / 1.010 Computing and Data Analysis for Environmental Applications

As taught in: Fall 2003

An arial photo of Niagra Falls.

Niagara Falls, New York. (Photo courtesy of United States Geological Survey: http://www.usgs.gov.)

Level:

Undergraduate

Instructors:

Prof. Dennis McLaughlin

Course Features

Course Description

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.

Technical Requirements

Special software is required to use some of the files in this course: .m.


*Some translations represent previous versions of courses.