96795 - Optimization Methods for Business Analytics

Academic Year 2026/2027

  • Docente: Paolo Guasoni
  • Credits: 6
  • SSD: STAT-04/A
  • Language: English
  • Teaching Mode: In-person learning (entirely or partially)
  • Campus: Bologna
  • Corso: Second cycle degree programme (LM) in Statistics, Economics and Business (cod. 6811)

Learning outcomes

By the course the student acquires fundamentals of statistical inference and modeling, with special attention to models and methods that address practical data issues. At the end of the course the student is able: - to define generalized linear regression models; - to estimate parameters and test hypotheses about them - to choose the most suitable model for the specific problem at hand.

Syllabus

The syllabus has not been published yet.

Office hours

See the website of Paolo Guasoni