Laboratory "llm & business intelligence"

A.A. 2025/2026
3
Crediti massimi
20
Ore totali
SSD
INF/01
Lingua
Inglese
Obiettivi formativi
Students will understand data-driven decision making, learn customer segmentation techniques, and develop targeted marketing strategies. They will grasp market basket analysis, implement recommendation systems, and perform predictive analytics. Additionally, students will analyze text data using Large Language Models (LLMs) and develop data visualization and storytelling skills with Power BI.
Risultati apprendimento attesi
Students will demonstrate enhanced analytical skills and effectively segment customers for targeted marketing. They will structure recommendation systems and predictive models, analyze unstructured text data for insights, and create compelling visualizations. Ultimately, students will understand the critical relationship between data and business, enabling them to drive informed decisions and communicate findings effectively in real-world scenarios.
Corso singolo

Questo insegnamento non può essere seguito come corso singolo. Puoi trovare gli insegnamenti disponibili consultando il catalogo corsi singoli.

Programma e organizzazione didattica

Edizione unica

Periodo
Secondo quadrimestre

Programma
Il programma è condiviso con i seguenti insegnamenti:
- [BBL-43](https://www.unimi.it/it/ugov/of/af20260000bbl-43)
INF/01 - INFORMATICA - CFU: 3
Attivita' di laboratorio: 20 ore