Big Data Analytics and Text Mining (Module 1)

**Tutor** — M.S. in Artificial Intelligence, University of Bologna. The course introduces students to the fundamentals and state-of-the-art methodologies of Natural Language Processing, actively incorporating recent milestones and newly published research. Content focuses on Large Language Models, covering prompt optimization, model compression and quantization, parameter-efficient fine-tuning, and multimodal language models, as well as approaches for integrating external knowledge such as Retrieval-Augmented Generation, Graph Neural Networks, and agents.

Instructor: Course coordinator — Gianluca Moro

Term: A.Y. 2023–2026

Location: University of Bologna, Italy

Role

Assistance in preparing teaching material, seminars, project assignment and assessment (20 hours per academic year). Scientific disciplinary sector: ING-INF/05.

Academic Years

  • 2025–2026 (cod. B2133)
  • 2024–2025 (cod. B2133)
  • 2023–2024 (cod. 91262)