18.085 | Fall 2008 | Graduate

Computational Science and Engineering I

Lecture Videos

video
10 MB
Course Introduction
video
118 MB
Lecture 1: Four Special Matrices
video
108 MB
Recitation 1: Key Ideas of Linear Algebra
pdf
110 kB
Transcript – Lecture 1
pdf
107 kB
Transcript – Recitation 1
video
115 MB
Lecture 2: Differential Eqns and Difference Eqns
video
113 MB
Recitation 2
pdf
106 kB
Transcript – Lecture 2
pdf
102 kB
Transcript – Recitation 2
video
120 MB
Lecture 3: Solving a Linear System
video
121 MB
Recitation 3
pdf
108 kB
Transcript – Lecture 3
pdf
112 kB
Transcript – Recitation 3
video
121 MB
Lecture 4: Delta Function Day
video
125 MB
Recitation 4
pdf
106 kB
Transcript – Lecture 4
pdf
106 kB
Transcript – Recitation 4
video
122 MB
Lecture 5: Eigenvalues (Part 1)
video
122 MB
Recitation 5
pdf
107 kB
Transcript – Lecture 5
pdf
113 kB
Transcript – Recitation 5
video
110 MB
Lecture 6: Eigen Values (part 2) and Positive Definite (part 1)
video
118 MB
Recitation 6
pdf
103 kB
Transcript – Lecture 6
pdf
113 kB
Transcript – Recitation 6
video
115 MB
Lecture 7: Positive Definite Day
video
117 MB
Recitation 7
pdf
107 kB
Transcript – Lecture 7
pdf
116 kB
Transcript – Recitation 7
video
119 MB
Lecture 8: Springs and Masses
video
105 MB
Recitation 8
pdf
104 kB
Transcript – Lecture 8
pdf
102 kB
Transcript – Recitation 8
video
119 MB
Lecture 9: Oscillation
video
112 MB
Recitation 9
pdf
107 kB
Transcript – Lecture 9
pdf
103 kB
Transcript – Recitation 9
video
119 MB
Lecture 10: Finite Differences in Time
video
99 MB
Recitation 10
pdf
106 kB
Transcript – Lecture 10
pdf
99 kB
Transcript – Recitation 10
video
117 MB
Lecture 11: Least Squares (part 2)
video
118 MB
Recitation 11
pdf
107 kB
Transcript – Lecture 11
pdf
105 kB
Transcript – Recitation 11
video
112 MB
Lecture 12: Graphs and Networks
video
112 MB
Recitation 12
pdf
105 kB
Transcript – Lecture 12
pdf
105 kB
Transcript – Recitation 12
video
122 MB
Lecture 13: Kirchhoff's Current Law
video
109 MB
Recitation 13
pdf
109 kB
Transcript – Lecture 13
pdf
105 kB
Transcript – Recitation 13
video
114 MB
Lecture 14: Exam Review
pdf
107 kB
Transcript – Lecture 14
video
104 MB
Lecture 15: Trusses and A^(T)CA
pdf
97 kB
Transcript – Lecture 15
video
106 MB
Lecture 16: Trusses (part 2)
pdf
99 kB
Transcript – Lecture 16
video
118 MB
Lecture 17: Finite Elements in 1D (part 1)
pdf
108 kB
Transcript – Lecture 17
video
112 MB
Lecture 18: Finite Elements in 1D (part 2)
pdf
101 kB
Transcript – Lecture 18
video
114 MB
Lecture 19: Quadratic/Cubic Elements
pdf
109 kB
Transcript – Lecture 19
video
109 MB
Lecture 20: Element Matrices; 4th Order Bending Equations
pdf
106 kB
Transcript – Lecture 20
video
116 MB
Lecture 21: Boundary Conditions, Splines, Gradient, Divergence
pdf
107 kB
Transcript – Lecture 21
video
112 MB
Lecture 22: Gradient and Divergence
pdf
107 kB
Transcript – Lecture 22
video
108 MB
Lecture 23: Laplace's Equation
pdf
107 kB
Transcript – Lecture 23
video
118 MB
Lecture 24: Laplace's Equation (part 2)
pdf
102 kB
Transcript – Lecture 24
video
113 MB
Lecture 25: Fast Poisson Solver (part 1)
pdf
105 kB
Transcript – Lecture 25
video
112 MB
Lecture 26: Fast Poisson Solver (part 2); Finite Elements in 2D
pdf
106 kB
Transcript – Lecture 26
video
114 MB
Lecture 27: Finite Elements in 2D (part 2)
pdf
105 kB
Transcript – Lecture 27
video
108 MB
Lecture 28: Fourier Series (part 1)
pdf
101 kB
Transcript – Lecture 28
video
106 MB
Lecture 29: Fourier Series (part 2)
pdf
99 kB
Transcript – Lecture 29
video
109 MB
Lecture 30: Discrete Fourier Series
pdf
99 kB
Transcript – Lecture 30
video
112 MB
Lecture 31: Fast Fourier Transform, Convolution
pdf
156 kB
Transcript – Lecture 31
video
113 MB
Lecture 32: Convolution (part 2), Filtering
pdf
99 kB
Transcript – Lecture 32
video
112 MB
Lecture 33: Filters, Fourier Integral Transform
pdf
103 kB
Transcript – Lecture 33
video
112 MB
Lecture 34: Fourier Integral Transform (part 2)
pdf
104 kB
Transcript – Lecture 34
video
112 MB
Lecture 35: Convolution Equations: Deconvolution
pdf
105 kB
Transcript – Lecture 35
video
89 MB
Lecture 36: Sampling Theorem
pdf
89 kB
Transcript – Lecture 36

Course Info

Departments
As Taught In
Fall 2008
Level
Graduate
Topics
Learning Resource Types
Exam Solutions
Exams
Lecture Videos
Problem Set Solutions
Problem Sets
Programming Assignments
Download Course
MIT Open Learning
Over 2,500 courses & materials
Freely sharing knowledge with learners and educators around the world. Learn more
© 2001–2026 Massachusetts Institute of Technology
Accessibility
Creative Commons License
Terms and Conditions
Proud member of:
© 2001–2026 Massachusetts Institute of Technology