About Course

Discover how differential equations serve as mathematical blueprints for dynamic systems across physics, biology, economics, and engineering. In this engaging mini-course, you’ll start by pinpointing when a rate of change depends on the current state and learn to separate variables to find both general solution families and specific solutions through initial conditions. From there, you’ll master exponential growth and decay models—applying them to scenarios like population forecasts, radioactive decay, and compound interest. You’ll build deeper insight with slope fields, sketching solution curves to see system behavior without solving for an explicit formula. Finally, you’ll put your skills into practice on classic population and mixing-tank problems, interpreting long-term trends, equilibrium points, and parameter effects. Throughout, clear explanations, real-world examples, and targeted problem sets will equip you to model, solve, and interpret first-order differential equations with confidence.

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What Will You Learn?

  • Recognize and solve first-order separable equations
  • Model and compute exponential growth and decay processes
  • Use slope fields to visualize and qualitatively analyze solution behavior
  • Translate real-world scenarios—populations and mixing—into differential equations and solve them
  • Interpret constants and equilibrium states to predict long-term outcomes

Course Content

1. Separable Equations
Discover how to split changing quantities into independent parts you can tackle separately. You’ll learn to recognize when a relationship can be “separated,” reorganize it into two integrals, and interpret the family of solutions that emerges from the integration constant.

  • 1.1 Identifying Separable Relationships
  • 1.2 Executing Separation & Integration Steps
  • 1.3 Understanding Solution Families & Constants

2. Exponential Growth & Decay
Model processes where the rate of change is always proportional to the current amount—be it a population, a radioactive substance, or an investment. You’ll translate real-world descriptions into equations, solve for time-dependent behaviors, and see how initial conditions determine specific outcomes.

3. Slope Fields & Qualitative Analysis
Visualize the direction of change at every point without finding an explicit formula. You’ll construct slope fields (directional grids) to predict how solutions evolve, identify equilibrium behavior, and develop intuition for complex models where analytic solutions may be difficult.

4. Population & Mixing Models
Apply your solution techniques to classic applications: growing populations and mixing problems in tanks. You’ll set up the governing equations from word-problem descriptions, solve for the evolving quantity, and analyze long-term behavior such as saturation levels or equilibrium concentrations.