1. On the road 2. Outbreaks 3. Building a Better car 4. Survival of the Fastest 5. Emergence 6. Growing Too Big 7. Shrinking Too Small 8.

Time and Chance 9. Is it Normal? 10. Lather, Rinse, Repeat 11. Agents of Change 12. Ducks in a Row 13. Life on a Tree 14. Life in a Net 15. Scale 16.

Bits Glossary Index Introduction to dynamical models: Infectious diseases and physical examples. 2. Outbreaks. Modeling an infectious disease outbreak with differential equations. 3. Building a better cat. Models in science: the predator-prey systems and chaos. 4.

Survival of the fastest. Modeling competition between species and between cells. 5. Emergence. Modeling biochemistry with differential equations, emergent properties and genetic dominance 6. Growing too big. When models break down: Full-cell metabolic models 7. Shrinking too small.

When models break down, Part 2: Noise in biochemical systems 8. Time and chance. Probability and random variables. 9. Is it normal? Sampling, statistics, and the central limit theorem. 10. Lather, rinse, repeat. Computer programming: A gentle introduction.

11. Agents of Change. Agent-based models of genetic drift 12. Ducks in a row: Bioinformatics: Algorithmic approaches to biological data. 13. Life on a tree. Phylogenetics: Bringing together probability distributions, differential equations, computation and evolution 14. Life in a net.

Network biology: Tools for understanding complex interacting systems from the cell to an ecosystem 15. Scale. Metabolic rate, nutrient exchange, body size and fractal geometry 16. Bits. Life as an information transfer process.