Mathematical Biology Mathematics for understanding living systems

01

Mathematical Foundations

Core mathematics required for biological modelling.

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02

Foundations of Mathematical Biology

How biological questions are translated into mathematical models.

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03

Population Dynamics

Mathematical models of population growth, structure and extinction.

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04

Interactions Between Species

Competition, predation, mutualism and interacting populations.

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05

Dynamical Systems in Biology

Equilibria, stability, phase-plane analysis and biological dynamics.

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06

Epidemiological Modelling

Mathematical models of infectious disease transmission and control.

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07

Stochastic Processes for Biology

Random processes, Markov models and stochastic biological events.

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08

Stochastic Differential Equations

Continuous stochastic models, Brownian motion and moment methods.

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09

Spatial Mathematical Biology

Diffusion, spatial populations, travelling waves and pattern formation.

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10

Cell and Molecular Biology Models

Mathematical models of biochemical, genetic and cellular processes.

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11

Physiological and Medical Modelling

Models of drugs, tumours, immunity and physiological systems.

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12

Evolutionary Mathematics

Selection, genetic drift, population genetics and evolutionary dynamics.

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13

Networks in Biology

Graph-based models of contact, genetic and ecological networks.

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14

Data and Parameter Estimation

Connecting mathematical models with biological observations and data.

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15

Statistics for Mathematical Biology

Statistical methods for analysing biological data and uncertainty.

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16

Computational Mathematical Biology

Numerical modelling, simulation and scientific computing with Python.

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17

Machine Learning and Mathematical Biology

Data-driven learning combined with mechanistic biological models.

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18

Decision Making and Prediction

Forecasting, risk, intervention and decisions under uncertainty.

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19

Worked Biological Models

Complete worked examples connecting theory, computation and biology.

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20

Reference Library

Notation, terminology, formulas and computational references.

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About MathsBio

MathsBio is a progressive guide to mathematical biology. The learning structure moves from mathematical foundations to biological models, computation and applications.