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CODE 118576
ACADEMIC YEAR 2025/2026
CREDITS
LANGUAGE English
TEACHING LOCATION
  • GENOVA
MODULES Questo insegnamento è composto da:

OVERVIEW

Data Analytics aims at providing a thorough account of classical and modern statistical inference at an intermediate level, focusing both on the classical likelihood method and on simulation techniques. Then, the theory and applications of regression and classification models will be introduced, with special attention to socio-economic applications.

AIMS AND CONTENT

LEARNING OUTCOMES

This cluster provides an integrated and multidisciplinary perspective of the technical, analytical, regulatory, and strategic dimensions related to the energy business and environmental transition. Students acquire skills to design, analyze, and manage complex energy systems and business environments, while addressing operational and policy-related aspects of energy system implementation. Through a balance of theory and practical application, the cluster prepares participants to operate in complex decision-making contexts and interpret evolving business scenarios, contributing to innovation and sustainability in the energy sector.

PREREQUISITES

No prerequisites are required.

TEACHING METHODS

Video, i-tivity and frontal lessons

TEACHERS AND EXAM BOARD

Exam Board

ANDREA CIACCI

STEFANO BRACCO (President Substitute)

STEFANO MASSUCCO (President Substitute)

MARTA NAI RUSCONE (President Substitute)

LESSONS

Class schedule

The timetable for this course is available here: Portale EasyAcademy