MA 137 --- reference material (if necessary)



MA 138 - Tentative Course Schedule - MWF Classes (Lectures)


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
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)
M 4/15 Lecture 39 - Linear Systems: Theory (Section 11.1)
W 4/17 Lecture 40 - Linear systems: Applications (Section 11.2)
F 4/19
Lecture 41 - Nonlinear autonomous systems: Theory (Section 11.3)
M 4/22 Lecture 42 - Nonlinear autonomous systems: Theory (Section 11.3)
W 4/24
Lecture 43 - Nonlinear systems: A model for Epidemics (Section 11.5)

W 5/1 FINAL EXAM, 6:00-8:00 pm