Date | Description | |
M 1/8 | Lecture 1 - Review of integration;
application of integration (Section 6.3) |
|
W 1/10 | Lecture 2 - Applications of integration (Section 6.3) | |
F 1/12 |
Lecture 3 - The substitution rule (Section 7.1) | |
M 1/15 | Martin Luther King Birthday - no class | |
W 1/17 | Lecture 4 - Integration by parts and practicing integration (Section 7.2) | |
F 1/19 |
Lecture 5 - Integration by parts and practicing integration (Section 7.2) |
|
M 1/22 | Lecture 6 - Rational functions and partial fractions (Section 7.3) | |
W 1/24 | Lecture 7 - Rational functions and partial fractions (Section 7.3) | |
F 1/26 |
Lecture 8 - Improper integrals (Section 7.4) |
|
M 1/29 | Lecture 9 - Improper integrals (Section 7.4) | |
W 1/31 | Lecture 10 - Improper integrals (Section 7.4) | |
F 2/2 |
Lecture 11 - Solving differential equations (Section 8.1) |
|
M 2/5 | Lecture 12 - Review | |
T 2/6 | EXAM 1, 5-7 pm | |
W 2/7 | Lecture 13 - Solving differential equations (Section 8.1) | |
F 2/9 |
Lecture 14 - Solving differential equations (Section 8.1) |
|
M 2/12 | Lecture 15 - Direction fields and SAGE (handout) | |
W 2/14 | Lecture 16 - Direction fields and SAGE | |
F 2/16 |
Lecture 17 - Equilibria and their stability (Section 8.2) |
|
M 2/19 | Lecture 18 - Equilibria and their stability (Section 8.2) | |
W 2/21 | Lecture 19 - Linear systems (Section 9.1) | |
F 2/23 |
Lecture 20 - Linear systems (Section 9.1) A useful software to perform Gaussian Elimination: click here. |
|
M 2/26 | Lecture 21 - Matrices (Section 9.2) | |
W 2/28 | Lecture 22 - Matrices (Section 9.2) | |
F 3/1 |
Lecture 23 - Linear maps, eigenvectors, and eigenvalues (Section 9.3) |
|
M 3/4 | Lecture 24 - Review | |
T 3/5 | EXAM 2, 5-7 pm | |
W 3/6 | Lecture 25 - Linear maps, eigenvectors, and eigenvalues (Section 9.3) | |
F 3/8 |
Lecture 26 - Linear maps, eigenvectors, and eigenvalues (Section 9.3) |
|
M 3/11 | Spring Break - no class | |
W 3/13 | Spring Break - no class | |
F 3/15 |
Spring Break - no class
|
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M 3/18 | Lecture 27 - Fibonacci's numbers, a population model, and powers of matrices (handout) | |
W 3/20 | Lecture 28 - Curve fitting - least squares approximation (handout) | |
F 3/22 |
Lecture 29 - Curve fitting - least squares approximation
|
|
M 3/25 | Lecture 30 - Functions of two or more independent variables (Section 10.1) | |
W 3/27 | Lecture 31 - Limits and continuity (Section 10.2) | |
F 3/29 |
Lecture 32 - Partial derivatives (Section 10.3)
|
|
M 4/1 | Lecture 33 - Partial derivatives (Section 10.3) | |
W 4/3 | Lecture 34 - Tangent planes, differentiability, and linearization (Section 10.4) | |
F 4/5 |
Lecture 35 - Tangent planes, differentiability, and linearization (Section 10.4)
|
|
M 4/8 | Lecture 36 - Vector-valued functions (Section 10.4) - Review | |
T 4/9 | EXAM 3, 5-7 pm | |
W 4/10 | Lecture 37 - Linear Systems: Theory (Section 11.1) | |
F 4/12 |
Lecture 38 - Linear Systems: Theory (Section 11.1) |
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M 4/15 | Lecture 39 - Linear Systems: Theory (Section 11.1) |
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W 4/17 | Lecture 40 - Linear systems: Applications (Section 11.2) | |
F 4/19 |
Lecture 41 - Nonlinear autonomous systems: Theory (Section 11.3)
|
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M 4/22 | Lecture 42 - Nonlinear autonomous systems: Theory (Section 11.3) |
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W 4/24 | Lecture 43 - Nonlinear systems: A model for Epidemics (Section 11.5) |
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W 5/1 | FINAL EXAM, 6:00-8:00 pm |