Overview

Overview#

This page shows an overview of the book theory, lecture slides, assignments and fundamental concepts per week.

Week

Topic

Programming Topic

1.1

Modelling Concepts

Your computer and Installation

1.2

Numerical Modelling 1

Report in markdown

1.3

Numerical Modelling 2

VS Share and autocompletion

1.4

Univariate Distributions

Git basics

1.5

Multivariate Distributions

Git branching and merging

1.6

Uncertainty Propagation

LLM tools, PY scripts

1.7

Observation Theory 1

Debugging

1.8

Observation Theory 2

-

2.1

PDE’s, FDM, FVM

Object-oriented programming

2.2

FEM

Numerical efficiency

2.3

Signal Processing

Errors

2.4

Time Series Analysis

Tests

2.5

Optimization

Packages + Modules

2.6

Machine Learning

-

2.7

Extreme Value Analysis

-

2.8

Risk Analysis

-

Programmings topics exclude fundamental programming concepts and exercises related to workshops and group assignments.

On the subpages the content of every week is shown in more detail.