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Digital Garden | OER Curriculum
Courses / Calculus III / Session 01

Course Overview + Prerequisite Review

Session Objectives & Overview

By the end of this session, you will be able to:

  • Apply right-triangle trigonometric ratios, angle conversions, and unit circle values.
  • Solve limits, evaluate piecewise continuity/differentiability, and optimize geometric functions using derivatives.
  • Calculate net signed area, total area, and net change using definite integrals and geometric formulas.

📅 Micro-Lecture

1. Trigonometric Unit Circle & Right Triangle Geometry

  • Mathematical Foundation: A right triangle with acute angle θ\theta, adjacent side xx, opposite side yy, and hypotenuse r=x2+y2r = \sqrt{x^2 + y^2} defines the standard trigonometric ratios:
    sinθ=yr,cosθ=xr,tanθ=yx\sin\theta = \frac{y}{r}, \quad \cos\theta = \frac{x}{r}, \quad \tan\theta = \frac{y}{x}
    Angles are converted between radians and degrees using the ratio π rad=180\pi \text{ rad} = 180^\circ. The unit circle maps angles to coordinates (x,y)=(cosθ,sinθ)(x,y) = (\cos\theta, \sin\theta) on x2+y2=1x^2 + y^2 = 1, where sign conventions are determined by the quadrant (CAST rule).
  • Engineering Context: Crucial for static force decompositions in structural trusses, coordinate system rotations, robotics kinematics, and analyzing alternating current (AC) circuits.

2. Limits, Continuity, and Differentiability

  • Mathematical Foundation: Limits describe function behavior as the input xx approaches a value cc. Indeterminate forms like 00\frac{0}{0} are resolved algebraically via factoring or rationalizing. A function f(x)f(x) is continuous at cc if limxcf(x)=f(c)\lim_{x \to c} f(x) = f(c), and differentiable if the derivative limit limxcf(x)\lim_{x \to c} f'(x) exists and is continuous at cc.
  • Engineering Context: Modeling state transitions in physical processes (such as thermodynamics or fluid mechanics) requires continuous and differentiable functions to avoid non-physical shocks or discontinuities in stress, pressure, or temperature.

3. Derivatives and Optimization

  • Mathematical Foundation: The derivative f(x)f'(x) measures the instantaneous rate of change. Critical points occur where f(x)=0f'(x) = 0 or is undefined. The second derivative f(x)f''(x) dictates concavity (concave up if f(x)>0f''(x) > 0, concave down if f(x)<0f''(x) < 0), and inflection points occur where concavity changes sign. Optimization uses these derivatives to locate maximum or minimum values under specific constraints.
  • Engineering Context: Used to minimize material cost (e.g., structural optimization), maximize structural load capacities, and determine peak operating efficiencies.

4. Definite Integrals and the Net Change Theorem

  • Mathematical Foundation: A definite integral abf(x)dx\int_a^b f(x) dx represents the net signed area bounded by the curve and the xx-axis. Total area treats all bounded regions as positive. The Net Change Theorem states that the integral of a rate of change function F(t)F'(t) yields the net accumulated change:
    F(b)F(a)=abF(t)dtF(b) - F(a) = \int_a^b F'(t) dt
  • Engineering Context: Enables calculating total physical accumulation (e.g., total volume of water discharged, total charge accumulated, or total work done) from a time-varying rate.