Computational Thinking for Modeling and Simulation

Computational Thinking for Modeling and Simulation

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Course
en
English
27 h
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  • 9 Sequences
  • Intermediate Level
  • Starts on February 25, 2019
  • Ends on May 7, 2019

You can't access an archived course

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Course details

Syllabus

What is Computational Thinking? (representation, discretization, error, decomposition, verification)

Interpolation (building simple surrogates for more complex functions)

Integration (processes for numerical quadrature)

Randomness (generating and using pseudorandom variables in models)

Differentiation (numerical derivatives)

Solving equations (Gaussian elimination for linear systems, Newton-Raphson for non-linear systems)

Prerequisite

  • Algebra
  • Calculus

Instructors

Daniel Frey
Professor of Mechanical Engineering Department; MIT D-Lab Faculty Research Director
Massachusetts Institute of Technology

Ali Talebinejad
Lecturer of Mechanical Engineering Department
Massachusetts Institute of Technology

Editor

MIT is a world-class educational institution where teaching and research — with relevance to the practical world as a guiding principle — continue to be its primary purpose.

MIT is independent, coeducational, and privately endowed. Its five schools and one college encompass numerous academic departments, divisions and degree-granting programs, as well as interdisciplinary centers, laboratories and programs whose work cuts across traditional departmental boundaries.

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