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Solving pure-time differential equations with the Forward-Euler algorithm

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Solving pure time differential equations through integration

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Riemann sums and the definite integral

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Integrals and the Fundamental Theorem of Calculus

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Applications of integration: area under a curve

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An introduction to probabliilty

An introduction to probability and conditional probability illustrated by flipping two coins.

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Probabilistic inference and Bayes Theorem

An introduction to Bayes Theorem illustrated by calculating vaccination probabilities

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Neural coding and decoding

An overview of neural encoding and decoding with a sketch of decoding rat location from measuring spikes of place field neurons.

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A stochastic process introduction

Derivation of a stochastic birth process model for the number of cells

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A birth-death process

Comparing a stochastic birth-death process to a deterministic model of growth

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