lesson
Introduction to Logistic Models as a Refinement to Exponential Growth
Understand the logistic function P(t) = L / (1 + C e^(-kt)) as an S-shaped refinement that captures initial exponential growth followed by saturation.
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Advanced Exponential Modelling and Constrained Growth
6 lessons
Goal
Evaluate exponential models using differentiation and asymptotic limits, and extend modelling techniques to bounded growth and logistic saturation curves.
6 lessons
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- Calculating Instantaneous Rates of Growth and Decay Using DifferentiationUp next
- Identifying Initial States and Long-Term Asymptotic LimitsNot started yet
- Critiquing Limitations of Unconstrained Exponential GrowthNot started yet
- Modelling with Bounded Growth and Learning Curve ModelsNot started yet
- Introduction to Logistic Models as a Refinement to Exponential GrowthYou are here
- Synthesising and Refining Exponential Models in Applied ContextsNot started yet
Learning standards covered
F7General Certificate of Education Advanced Level (UK A-Level) · Maths · 11th Grade[Understand and use exponential growth and decay; use in modelling (examples may include the use of e in continuous compound interest, radioactive decay, drug concentration decay, exponential growth as a model for population growth); consideration of limitations and refinements of exponential models]
Open Global Standard:OGM.12.EXP.4OGM.13.EXP.2
OGM.12.EXP.4OGM.13.EXP.2