Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
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1 module between the following
2° Year It will be activated in the A.Y. 2025/2026
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1 module between the following
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1 module between the following
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Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Artificial Intelligence, AI and Business Operations: Methods and Techniques (2024/2025)
Teaching code
4S013266
Teacher
Coordinator
Credits
2
Also offered in courses:
- Artificial Intelligence, AI and Business Operations: Methods and Techniques of the course Master’s degree in Marketing and Corporate Communication
- Artificial Intelligence, AI and Business Operations: Methods and Techniques of the course Master's degree in Corporate governance and business administration
- Artificial Intelligence, AI and Business Operations: Methods and Techniques of the course Master's Degree in Sport Management for an innovative and sustainable sport system
- Artificial Intelligence, AI and Business Operations: Methods and Techniques of the course Master’s degree in Supply Chain Management
- Artificial Intelligence, AI and Business Operations: Methods and Techniques of the course Master’s degree in Banking and Finance
- Artificial Intelligence, AI and Business Operations: Methods and Techniques of the course Master’s degree in Economics and Data Analysis
- Artificial Intelligence, AI and Business Operations: Methods and Techniques of the course Master’s degree in International Economics and Business
Language
Italian
Scientific Disciplinary Sector (SSD)
NN - -
Period
Secondo semestre LM dal Feb 17, 2025 al May 23, 2025.
Erasmus students
Not available
Courses Single
Not Authorized
Learning objectives
The project aims to provide students of the Management Department's CdS with the basic knowledge and skills needed to use Artificial Intelligence (AI) systems with particular reference to LLM (Large Language Models) in an effective and responsible way. Through a practical and interactive approach, participants will have the opportunity to experiment with different applications of AI tools and to develop concrete projects for use in companies in the areas covered by the program.
Prerequisites and basic notions
no prerequisites are required
Program
• Business Process Automation o Customer Response Automation: Systems like Copilot can be used to automate the management of support requests, providing immediate answers to common questions and directing user requests to the appropriate resources. - Example: defining a prompt for FAQs • Improving Customer Service o Personalization of Responses: Copilot and similar systems can be trained to respond in a personalized way to user questions, improving the customer experience through more targeted and relevant communications. - Example: creating a precise Customer Care response to customer questions • Marketing and Sales o Content Generation: Copilot can assist in the creation of content for blogs, social media and advertising campaigns, generating creative and relevant texts. - Creation of posts for “X”, Instagram, etc; scripts for Youtube videos and shorts Period of delivery: Second semester AY 2023/24. The course will be held in the period May - June 2024. The definitive dates will be communicated in the dedicated Moodle. • Audit and Control or Data Analysis and Market Benchmarking: LLM systems like Copilot can analyze large amounts of data to provide insights into the market and business performance, helping companies make informed decisions. - Example: Balance sheet analysis and creation of summary reports on the economic and financial status of the company. Recipients: The initiative is aimed at all university students of the master's degree of the study courses belonging to the Department of Management, both in Vicenza and Verona. No particular theoretical or technological skills are required to participate. Time commitment required: The course includes 5 in-person meetings lasting 3 hours each. The total commitment is 15 hours of training and approximately 35 hours of individual work over the course of a month. Teaching method: The training course is organized with an experiential and participatory teaching approach. Each meeting can assign small in-depth studies in teams, exercises and individual tasks to put into practice what has been learned before the next meeting. The presence of the training teacher is also ensured with tutoring for the requesting students.
Didactic methods
Lectures, practical exercises, laboratories
Learning assessment procedures
Please note that December 2024/April 2025 graduates cannot participate and request credit accreditation for this activity, as it is a 2024/2025 provision, while the graduation sessions refer to the 2023/2024 academic year. The recognition of 2 CFU is approved if the student participates in at least 4 of the 5 scheduled meetings and passes the final exam scheduled as the last meeting (reasoned presentation of the project developed and set up during the laboratory phases of the course - mandatory meeting).
Evaluation criteria
project work
Criteria for the composition of the final grade
past / not past
Exam language
Italiano