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  1. Courses

AIBR24 - AI FOR BUSINESS AND RESEARCH

courses
ID:
AIBR24
Duration (hours):
36
CFU:
6
SSD:
ORGANIZZAZIONE AZIENDALE
Located in:
PESCARA
Url:
Course Details:
DIGITAL MARKETING/CORSO GENERICO Year: 1
Year:
2025
Course Catalogue:
https://unich.coursecatalogue.cineca.it/af/2025?co...
  • Overview
  • Syllabus
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Overview

Date/time interval

Secondo Quadrimestre (07/01/2026 - 17/04/2026)

Syllabus

Course Objectives

This course aims to provide students with the theoretical and practical knowledge necessary to harness the potential of the artificial intelligence technologies in the context of business and research.
LEARNING AND INTERPRETATION SKILLS
- Recognizes the differences, advantages, and issues of various artificial intelligence solutions
- Understands the nuances of how generative artificial intelligence solutions interpret commands and optimize interaction effectiveness.
- Describes the main differences between various generative artificial intelligence environments and their contexts of use

ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING

- Uses analytical tools to understand and interpret various types of AI-based solutions;
- Defines strategies to promote the use of AI-based solutions.
- Utilizes generative artificial intelligence tools to support the creation of textual and multimedia content.

JUDGMENT AUTONOMY:
- Critically interprets and analyzes processes supported by the use of AI-based solutions within the organizational system
- Critically reads and examines project documentation related to the adoption of artificial intelligence solutions
COMMUNICATION SKILLS:
- Verbally expresses analytical and evaluative considerations on the main aspects concerning the adoption of artificial intelligence tools in the business context and in the context of scientific research, making interdisciplinary connections.

Course Prerequisites

None

Teaching Methods

The following teaching methodologies are used during the course:
- Lectures
- Practice sessions
- Case study analysis
- Guest lectures

Assessment Methods

The student evaluation is based on the creation of specific content exploiting the potential offered by generative artificial intelligence tools, with the overall assessment also including a critical discussion on the assignment.

Texts

Educational material provided during the course

Contents

Introduction to artificial intelligence: a brief history, models, and types of solutions
Use of specific generative AI tools
Creation and analysis of content using generative AI support


Course Language

Italian

More information

ERASMUS students are invited to contact the teacher to know their program.

Degrees

Degrees

DIGITAL MARKETING 
Master’s Degree
2 years
No Results Found

People

People

ZA STEFANO
Gruppo 13/ECON-08 - ORGANIZZAZIONE AZIENDALE
AREA MIN. 13 - Scienze economiche e statistiche
Settore ECON-08/A - Organizzazione aziendale
Docenti di ruolo di Ia fascia
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