Computational Science and Engineering MIT (16.0002)
Massachusetts Institute Of Technology
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Computer Science & Engineering Study Guide - MIT
- Summary • 3 pages • 2023
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Welcome to your study guide on computational science and engineering! This guide will provide you with an in-depth understanding of the key concepts and techniques used in this field.
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Computational Science and Engineering - MIT (16.0002)
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Complete lecture notes from 2020's session of Computational Science and Engineering at Massachusetts Institute of Technology by Mr Richard Zhang. The course is comprised of 10 additional guest lectures from guest lecturers that are excluded from this course. The 9 mainstream lectures delivered during the 9 academic weeks are included.
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5th Week's Lecture - Computational Science and Engineering - MIT (16.0002)
- Lecture notes • 8 pages • 2022
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Second-Order Differential Equations, Damped Oscillations, RLC Circuit, and Laplace Transform.
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6th Week's Lecture - Computational Science and Engineering - MIT (16.0002)
- Lecture notes • 13 pages • 2022
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Multi-Dimensional Differentiation, Multi-Dimensional Integration, Divergence Theorem, Stokes' Theorem, and Fourier Series.
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7th Week's Lecture - Computational Science and Engineering - MIT (16.0002)
- Lecture notes • 12 pages • 2022
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Laplace Equation, Separation of Variables, Indices, and Finite Difference.
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8th Week's Lecture - Computational Science and Engineering - MIT (16.0002)
- Lecture notes • 11 pages • 2022
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Finite Element Method, 1D, 2D, Triangulation, Fourier Transform, and Examples.
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9th Week's Lecture - Computational Science and Engineering - MIT (16.0002)
- Lecture notes • 9 pages • 2022
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Applications of Fourier Transform, Heat Equation, Discrete Transform, and Course Summary.
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4th Week's Lecture - Computational Science and Engineering - MIT (16.0002)
- Lecture notes • 9 pages • 2022
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Oscillations, complex vectors, complex oscillatory methods, and applications of Newton's laws on vectors.
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1st Week's Lecture - Computational Science and Engineering - MIT (16.0002)
- Lecture notes • 9 pages • 2022
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Introduction to matrices, their properties and vectors.
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2nd Week's Lecture - Computational Science and Engineering - MIT (16.0002)
- Lecture notes • 13 pages • 2022
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Differential Equations, Eigenvalues and functions that can be operated on matrices.
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