1.00 Engineering Computation and Data Science


Class Info

Presents fundamentals of computing and programming in an engineering context with an emphasis on data science. Introduces basics of web computing, data structures, and techniques for data analysis. Includes filtering, linear regression, simple machine learning (clustering and classifiers), and visualization. Surveys techniques for ingesting, processing, analyzing, and visualizing engineering data from a range of fields, including geo-spatial, environment, infrastructure, city dynamics, and numerical experiments. Students use JavaScript and HTML5 programming language to complete weekly assignments. Students taking graduate version complete additional assignments.

This class has 18.01 as a prerequisite.

1.00 will be offered this semester (Spring 2018). It is instructed by J. Williams.

Lecture occurs 9:30 AM to 11:00 AM on Mondays and Wednesdays in 1-390.

This class counts for a total of 12 credits.

You can find more information on MIT OpenCourseWare at the Introduction to Computers and Engineering Problem Solving site or on the 1.00 Stellar site.

MIT 1.00 Engineering Computation and Data Science Related Textbooks
MIT 1.00 Engineering Computation and Data Science On The Web
Introduction to Computers and Engineering Problem Solving
Tags
engineering

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