Computing and data analysis for environmental applications
Bachelor's degree
In Maynard (USA)
Description
-
Type
Bachelor's degree
-
Location
Maynard (USA)
-
Start date
Different dates available
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.
Facilities
Location
Start date
Start date
Reviews
Subjects
- Probability
- Programming
- Engineering
- Data analysis
- Computing
Course programme
Lectures: 2 sessions / week, 1.5 hours / session
Prof. Dennis Mc Laughlin
18.01, 18.02
Class periods will generally be divided into 40 minutes of lecture and 40 minutes of related hands-on computer work using laptops available in the classroom. In the beginning of the semester recitations will provide computer programming background for students without previous programming experience. Later, these recitations will be used for more in-depth virtual experiments and data analysis exercises and for discussion of homework problems.
The class includes several homework sets and three quizzes held during the two hour recitation periods. The grade will be based 40% on homework and in-class exercises and 20% on each of the three quizzes. The lowest homework grade will not be counted. There will be no final exam.
The primary text is Devore, Jay L. Probability and Statistics for Scientists and Engineers. Duxbury Press, 2000. (Noted by D in the readings section.) Students not familiar with MATLAB® should also consider purchasing one of the many introductory texts on this programming package. A reasonable choice that is easy to read and moderately priced is Etter, D. Introduction to MATLAB® for Engineers and Scientists. Prentice-Hall, 1996. (Noted by E in the readings section.)
Don't show me this again
This is one of over 2,200 courses on OCW. Find materials for this course in the pages linked along the left.
MIT OpenCourseWare is a free & open publication of material from thousands of MIT courses, covering the entire MIT curriculum.
No enrollment or registration. Freely browse and use OCW materials at your own pace. There's no signup, and no start or end dates.
Knowledge is your reward. Use OCW to guide your own life-long learning, or to teach others. We don't offer credit or certification for using OCW.
Made for sharing. Download files for later. Send to friends and colleagues. Modify, remix, and reuse (just remember to cite OCW as the source.)
Learn more at Get Started with MIT OpenCourseWare
Computing and data analysis for environmental applications