teaching

Course Materials

2026/2027

Text Analytics

Learning essential techniques, algorithms, and models used in natural language processing. Understanding of the architectures of typical text analytics applications and of libraries for building them. Expertise in design, implementation, and evaluation of applications that exploit analysis, interpretation, and transformation of texts.

2025/2026

Artificial Intelligence II

The course aims to introduce the paradigms to neural networks and deep learning, including the basics of recurrent neural networks and models for complex data, model design and validation, and application to health problems and case studies.

Predictive Models for Time Series Analysis

Components, transformations, and predictive models for time series, from DTW-based kNN to kernel- and dictionary-based approaches.