- Section 1.1: 3-d space and surface.
- Section 1.2: Parametric curves.
- Section 1.3-1.4: Vectors, vector valued functions.
- Section 1.5: Derivatives, anti-derivatives and motion.
- Sections 1.6-1.7: Dot product, lines and planes
- Sections 1.7-1.8: Lines, planes and cross product.
- Appendix C: Introduction to matrices.
- Sections 2.1 and 1.1: Functions of several variables.
- Sections 2.2-2.3: Partial derivatives, contours and linear approximations.
- Sections 2.3-2.4: Linear approximations and the gradient.
- Sections 2.5-2.6: Theory of derivatives, high order derivatives and quadratic approx.
- Section 2.7: Max-min, critical points and extreme points.
- Sections 2.7 and 4.4: More on extreme points, constrained optimization.
- Section 4.4: Constrained opimization.
- Section 2.8: Multivariable chain rule.
- Section 3.1: Multiple integrals.
- Section 3.2: Calculating integrals by iteration.
- Section 3.3: Integrals in polar coordinates.
- Section 3.4: Integrals in spherical and cylindrical coordinates.
- Rosner Chapter 2: Descriptive statistics.
- Rosner Chapter 3: Beginning probability including addition laws, multiplication laws,
conditional probability, total probability, Bayes' theorem.
- Rosner Chapter 4: Discrete probability distributions including binomial distributions,
Poisson distributions.
- Rosner Chapter 5: Continuous probability including density functions, mean and
variance, normal distributions, approximation by normal distributions.
- Handouts: Differential equations.
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