MIT OpenCourseWare

Browse materialsMIT 1.017 · Fall 2003

Computing and Data Analysis for Environmental Applications

Subjects: Computer Science · Engineering · Statistics

Art: AmCyc Bridge - New York and Brooklyn Suspension Bridge, published… · Public domain

Instructor: Prof. Dennis McLaughlin
Term: Fall 2003
Level: Undergraduate
What's inside: 6 problem sets · 1 lecture note · 1 reading · 71 other files · 6 web pages
Materials open: MIT OCW

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About this course

Source: MIT OpenCourseWare 1.017 Computing and Data Analysis for Environmental Applications, Fall 2003, Prof. Dennis McLaughlin — original course page on ocw.mit.edu ↗. License: CC BY-NC-SA 4.0. Study order: MIT's own listing order, section by section. Taken from MIT's published course files, downloaded from ocw.mit.edu on September 23, 2026. How RedLectern is built.

Materials are grouped the way MIT organized them. A verified, course-wide order has not been established here.

Has MIT solutions 7 files in this course are named by MIT as solutions.

Before you start

Prerequisites are not listed here. Check MIT's own syllabus for this course.

How this course was organized

What's here, and what isn't

A lecture sequence of 23 items is confirmed. Assignment and exam materials exist too, but MIT's own order for them could not be verified, so they're shown as materials below rather than a sequence.

Not included here

12 items from the source could not be safely included:

MIT's page format for this item wasn't recognized clearly enough to place it safely. (10 items)
Referenced in a table, but without MIT's own verified order, so it isn't used to claim a sequence. (2 items)

Materials by section

Grouped by section, as MIT organized them. Not sequenced or ordered.

Lecture Notes

24 files

Recitations

7 files

Assignments

24 files

Exams

21 files

Other materials from this course

cdffitPS4.mMATLAB file Download

MIT OpenCourseWare, Prof. Dennis McLaughlin, 1.017 Computing and Data Analysis for Environmental Applications, Fall 2003.

License: CC BY-NC-SA 4.0 · Edition: Fall 2003 · Open the original course on OCW ↗

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Computing and Data Analysis for Environmental Applications

Before you start

What's here, and what isn't

Not included here

Materials by section

Lecture Notes

Recitations

Assignments

Exams

Other materials from this course

Lecture 1: Course Introduction ( PDF )

Lecture 2: Descriptive Statistics ( PDF )

Lecture 3: Probability ( PDF )

Lecture 4: Joint Probability, Independence, Repeated Trials ( PDF )

Lecture 5: Combinatorial Methods for Deriving Probabilities ( PDF )

Lecture 6: Conditional Probability and Baye’s Theorem ( PDF )

Lecture 7: Random Variables and Probability Distributions ( PDF )

Lecture 8: Expectation, Functions of a Random Variable ( PDF )

Lecture 9: Risk

Lecture 10: Some Common Probability Distributions ( PDF )

Lecture 11: Multivariate Probability ( PDF )

Lecture 12: Functions of Many Random Variables

Lecture 13: Populations and Samples ( PDF )

Lecture 14: Estimation ( PDF )

Lecture 15: Confidence Intervals ( PDF )

Lecture 16: Testing Hypotheses about a Single Population ( PDF )

Lecture 17: Testing Hypotheses about Two Populations ( PDF )

Lecture 18: Small Sample Statistics ( PDF )

Lecture 19: Analysis of Variance ( PDF )

Lecture 20: Analysis of Variance (contd.) ( PDF )

Lecture 21: Multifactor Analysis of Variance ( PDF )

Lecture 22: Linear Regression ( PDF )

Lecture 23: Analyzing Regression Results ( PDF )