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Textbook
Q1 Topics
1. Modelling concepts
1.1. Model classification
1.2. Model decisions
1.3. Uncertainty Classification
1.4. Verification, Calibration and Validation
1.5. Goodness of Fit
2. Numerical Modelling
2.1. Revision of Concepts
2.2. The First Derivative
2.3. Finite Difference Method
2.4. Taylor Series Expansion
Exercises on Taylor expansion
2.5. Numerical Integration
2.6. Initial Value Problem for ODE: single-step methods
2.7. Implicit methods for nonlinear ODE
2.8. Multi-step and multi-stage methods
2.9. Boundary-value Problems: second-order ODE
3. Univariate Continuous Distributions
3.1. PDF and CDF
3.2. Empirical Distributions
3.3. Non-Gaussian distributions
3.4. Parametric Distributions
Uniform distribution
Gaussian distribution
Lognormal distribution
Gumbel distribution
Exponential distribution
Beta distribution
Summary of parametric distributions
3.5. Location, Shape and Scale: Consistent Parameterization
3.6. Fitting a Distribution
Method of moments
Maximum Likelihood Estimation
Goodness of Fit
Programming
Getting Started!
Computers
Environments and Environment Managers
Command Line Interface
Files and Folders
Sharing code in reports
File Paths
Markdown
Version control with Git!
Version Control
Jupyter notebooks and git
Miscellaneous
References
Changelog
Credits and License
Repository
Open issue
Index
