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Data Structure
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CC BY-SA
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In this course content ,we provided some basic concepts of data structure.
Operation s of data structure and how to analyze algorithm also mentioned.
Data structure stack and its applications are also content..

Subject:
Career and Technical Education
Material Type:
Unit of Study
Date Added:
07/15/2016
Introduction to Algorithms
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CC BY-NC-SA
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This course is an introduction to mathematical modeling of computational problems, as well as common algorithms, algorithmic paradigms, and data structures used to solve these problems. It emphasizes the relationship between algorithms and programming and introduces basic performance measures and analysis techniques for these problems.

Subject:
Applied Science
Computer Science
Engineering
Mathematics
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Demaine, Erik
Ku, Jason
Solomon, Justin
Date Added:
02/01/2020
Numerical Computation for Mechanical Engineers
Conditional Remix & Share Permitted
CC BY-NC-SA
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This class introduces elementary programming concepts including variable types, data structures, and flow control. After an introduction to linear algebra and probability, it covers numerical methods relevant to mechanical engineering, including approximation (interpolation, least squares and statistical regression), integration, solution of linear and nonlinear equations, ordinary differential equations, and deterministic and probabilistic approaches. Examples are drawn from mechanical engineering disciplines, in particular from robotics, dynamics, and structural analysis.

Subject:
Algebra
Applied Science
Computer Science
Engineering
Mathematics
Statistics and Probability
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Patera, Anthony
Date Added:
02/01/2013
Numerical Computation for Mechanical Engineers
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This class introduces elementary programming concepts including variable types, data structures, and flow control. After an introduction to linear algebra and probability, it covers numerical methods relevant to mechanical engineering, including approximation (interpolation, least squares and statistical regression), integration, solution of linear and nonlinear equations, ordinary differential equations, and deterministic and probabilistic approaches. Examples are drawn from mechanical engineering disciplines, in particular from robotics, dynamics, and structural analysis. Assignments require MATLAB® programming.

Subject:
Algebra
Applied Science
Computer Science
Engineering
Mathematics
Statistics and Probability
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Hadjiconstantinou, Nicolas
Patera, Anthony
Date Added:
09/01/2014
Searching for Bigfoot and Others Like Him
Read the Fine Print
Educational Use
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Cryptids, creatures of questionable existence, are used as a source of data to guide students into the creation of their own GIS data layer in Google Earth. The activity serves the purpose of a tutorial to teach students how to make data layers with a simple subject. Then they use that skill on other topics such as plastics in their neighborhood.

Subject:
Applied Science
Computing and Information
Engineering
Geoscience
Physical Science
Technology
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
TeachEngineering
Author:
Andrey Koptelov
Nathan Howell
Date Added:
09/18/2014