(Just enough) Julia for scientific informatics, modeling, and reasoning
An operational learning approach to the essential computational competencies you need for your research, from ideas to publication and beyond
Chapter 1. Orientation
Chapter 2. Basics of setting up and running Julia
Chapter 3. Basics of visualizing mathematical models
Chapter 4. Basics of working with randomness and probabilities
Chapter 5. Basics of working with data tables
Chapter 6. Basics of species distribution modeling
Chapter 7. Basics of paleobiological fossil collection analyses
Chapter 8. Basics of agent-based modeling: spatial epidemic dynamics with Agents.jl
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Chapter 1. Bernoulli trial
Chapter 2. Julia – Environments – Global vs project
Chapter 3. Julia: Functions, methods, and signatures
Chapter 4. Markov property
Chapter 5. Pathogen fitness as a function of virulence (Frank, 1996)
Chapter 6. Probabilty distributions–Essential concepts
Chapter 7. Pseudo-random number generators
Chapter 8. Pseudo-random number generators: best practices
Chapter 9. Pseudo-random number generators: continuous values from discrete machines
Chapter 10. Virulence-transmission trade-off (Frank, 1996)
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