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I. Error computations a la Gauss
1. The different approaches
2. Finite dimensional examples
3. An intuitive introduction to error structures
4. Weakly and strongly random errors
II. Probabilistic and Functional Models
5. Strongly continuous semi-groups and Dirichlet forms
6. Error structures
7. Images and products of error structures
8. The gradient and the sharp and other calculation tools
9. Error structures on fundamental spaces
III. The subtleness of the notion of bias
10. Approximation and bias operators
11. Computations and simulation methods
IV. Error structures and its applications
12. Statistical identification of error structures
13. The instantaneous structure of a stochastic process
14. Models inspired by finance
15. Examples in Physics
16. The principle of arbitrary functions and error structures
V. Historical elements and research themes
17. Error calculations from Gauss and Laplace
18. Extensions and open questions
Hints for exercises
Pedagogical References
Chronological Bibliography.

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