Artificial Intelligence for Time Series Analysis
A.Y. 2026/2027
Learning objectives
The course aims to provide theoretical and practical skills for the automatic analysis of time series using statistical and artificial intelligence techniques.
Expected learning outcomes
Students will be able to i) model time series with a probabilistic approach, ii) design time series predictors, and iii) implement statistical and AI models in this context.
Lesson period: Third four month period
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
INFO-01/A - Informatics - University credits: 6
Lessons: 48 hours