Model exponential change
Classify a formula or equally spaced table, translate a fixed percentage into a multiplier, and state the starting value, direction and asymptote.
The variable moves into the exponent, and ordinary algebra stops working. A logarithm is the tool that brings it back down — defined as an inverse, with three laws that are the exponent laws read backwards.
Overview
By the end you can model constant-ratio change, use logarithms as inverse functions, solve both kinds of equation, and convert a logarithmic-scale difference into the factor it represents.
Classify a formula or equally spaced table, translate a fixed percentage into a multiplier, and state the starting value, direction and asymptote.
Convert between b^y = x and log_b(x) = y, identify the bases hidden by log and ln, and evaluate exact values before rounding.
Expand or condense with the three laws, preserve the domain, and use change of base with the argument in the numerator and the original base in the denominator.
Choose matching powers or logarithms, test logarithmic candidates in the original domain, build a compounding model, and turn a log-scale difference into a ratio.
Lessons
First exponential functions and e; then the definition of the logarithm and its laws; then solving and applying.
Exponents, inverse functions, and graphing.
After each complete worked example, cover its answer and do the faded rehearsal before the quiz. The first strategic move is supplied; the remaining algebra, interpretation and check are yours.
Say the definition out loud until it is automatic: a logarithm is an exponent. Almost every error in this course is a step taken without that sentence in mind.
Check the domain of every solution to a logarithmic equation. log(x - 5) has nothing to say about x = 2, and the algebra will happily produce it.
Use the log-scale lesson on numbers you know. The distance from 1 to 10 being the same as 10 to 100 is either obvious or wrong-feeling, and it is worth being the first.
The derivative of e^x and the reason e is the natural base for calculus. This course gives e by compounding, which is honest and complete for algebra.
Logarithms of negative and complex numbers.
Curve fitting and regression on transformed data, which is a statistics topic.