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College Mathematics

MATH 213 — Survey of Calculus 2

A continuation emphasizing differential equations, multivariable ideas, optimization, sequences and series, approximation, and probability in applications.

Course overview

A continuation emphasizing differential equations, multivariable ideas, optimization, sequences and series, approximation, and probability in applications.

Math Aficionado uses this structure as a tutoring roadmap: lessons can be paced around the student's current level, school sequence, assignments, and assessment goals rather than forcing every student through the same timetable.

Units & topics

Unit 1

Differential Equations Foundations

  • First-order differential equations
  • Slope fields
  • Separable equations
  • Initial-value problems
  • Equilibrium solutions
Unit 2

Exponential & Logistic Models

  • Exponential growth/decay
  • Logistic growth
  • Carrying capacity
  • Parameter interpretation
  • Business and social-science applications
Unit 3

Multivariable Functions

  • Functions of two variables
  • Partial derivatives
  • Geometric interpretation
  • Tangent planes
  • Rates of change in several variables
Unit 4

Constrained Optimization

  • Critical points in two variables
  • Constraint equations
  • Lagrange multipliers
  • Economic optimization
  • Interpreting feasible solutions
Unit 5

Sequences & Series

  • Sequences and limits
  • Geometric sequences and series
  • Convergence and divergence
  • Series notation
  • Applications of recurrence models
Unit 6

Approximation & Numerical Methods

  • Linear approximation
  • Taylor-style local approximation
  • Numerical integration ideas
  • Error and accuracy
  • Using approximation in models
Unit 7

Probability Foundations

  • Basic probability concepts
  • Expected value
  • Discrete probability models
  • Conditional probability in context
  • Risk in business/social science
Unit 8

Integrated Applications

  • Combining calculus and models
  • Interpreting parameters
  • Optimization under constraints
  • Approximation and decision-making
  • Written quantitative reasoning

Curriculum reference: University of Wisconsin–Madison Guide / Department of Mathematics. The page is an independent tutoring roadmap and is not an official course page of the source institution.

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