Titolo del corso
The many facets of uncertainty in computer science
Codice identificativo del corso
2122-87R-06
Syllabus del corso
Title
The many facets of uncertainty in computer science
Teacher(s)
Davide Ciucci, with seminars by Federico Cabitza, Andrea Cerroni
Short description
The course is aimed to study uncertainty in computer science, in particular in knowledge representation and machine learning. We will see that there exists several forms of uncertainty and different tools to manage them. We will discuss the need not to hide uncertainty but to communicate it in a proper way.
- Knowledge representation
- Knowledge representation
- Taxonomies of flaws in information
- Different tools for different problems: probability theory, possibility theory, belief functions, fuzzy sets, rough sets.
- Measuring uncertainty
- Machine Learning
- Uncertainty in the input, uncertainty in the output
- Extension of standard machine learning algorithms to cope with uncertainties
- The Ground-Truth Problem: is the ground-truth certain?
- (Hints on) Exploiting uncertainty in Decision Making
- Uncertainty Communication and VisualizationCFU / Hours
20 hours
Teaching period
23 March - 6 May 2022