ECO0013 - ARTIFICIAL INTELLIGENCE

insegnamento
Tipo Insegnamento:
Ins. uff. con erogazioni e cop.
Durata (ore):
60
CFU:
9
SSD:
INFORMATICA
Sede:
BRESCIA
Url:
MONETA, FINANZA E RISK MANAGEMENT/CORSO GENERICO Anno: 1
MONETA, FINANZA E RISK MANAGEMENT/CORSO GENERICO Anno: 2
Anno:
2024
Course Catalogue:
https://permalink.unibs.it/suacds/afcc/2024?corso=...

Dati Generali

Periodo di attività

Primo Quadrimestre (01/10/2024 - 22/01/2025)

Syllabus

Obiettivi Formativi

The educational objectives are consistent with those characterizing the degree program in “Analytics and Data Science for Economics and Management” in which the course is inserted. The course is concerned with the theoretical aspects and advanced techniques of Artificial Intelligence (AI) and its technological innovation, which have an ever prominent role in industry, education, healthcare, and the society in general. Students will receive the culture and training to understand, manage and integrate “smart” AI-based solutions in companies and institutions, and the necessary understanding of the legal and ethical constraints that limit the socially acceptable use of AI. The course provides an opportunity for students to supplement general AI knowledge with specialistic AI knowledge and to develop their skills and criticacy during the discussion of applications scenarios such as ambient intelligence, human-AI interaction, large language models, and the like.

KNOWLEDGE AND UNDERSTANDING
Knowledge of theoretical, methodological and technological perspectives of Artificial Intelligence (AI) will be acquired in an incremental fashion, together with the basic notions about knowledge representation and reasoning, natural language processing, deep learning, explainable AI, human-AI interaction and ethics of AI. The framing of conceptual aspects of AI will be paired with the understanding of how to apply AI-based methods to solving practical business problems.

APPLIED KNOWLEDGE AND UNDERSTANDING
Students will be able to use and practice on some AI-based tools for complex reasoning, big data processing, text and image mining, and decision making. Students will be also able to identify application areas in which AI can be effectively used and to identify the most suitable technology for such application areas.

AUTONOMY OF JUDGEMENT
Students will be able to evaluate the circumstances in which the AI tools are applicable, to assess the impacts and the extent of explainability of the identified AI technology, and to critically evaluate the pros and cons, in order to define practical policies and suitable interaction protocols with AI.

COMMUNICATION SKILLS
Students will be able to manage the concepts, methods and applications of AI, to explain how AI can be used in specific context, to produce, discuss and communicate a technical solution based on AI.

LEARNING SKILLS
Students will be able to: (1) identify and frame a problem in terms of AI solution; (2) identify the AI concepts and application tools suitable for dealing with it; (3) autonomously and critically search for existing approaches and tools; (4) develop and execute an AI strategy to create a competitive advantage.

Prerequisiti

Coding in Python; Descriptive and Inference Statistics; Statistical Learning

Metodi didattici

The educational objectives highlighted here are achieved through lectures, laboratory activities with the use of computers, individual and group projects, and exercises.

Verifica Apprendimento

The exam covers all the topics in the Program and consists of two parts:
(1) an online test on the Moodle e-learning platform including one open-ended and 3 closed-ended questions concerning theoretical topics and/or applicative aspects of AI; the overall grade of this test amounts to 16 maximum (4 for each question);
(2) a project discussion, consisting in a 15-minute presentation of a group project showing the results of an AI application to a chosen domain, followed by an individual oral exam. In detail, a group of students prepare the project report, and the demo/presentation. Students are graded on the content, organization and design of the project itself, the oral presentation of the project and the ability to answer questions on it. The grading of the project exam occurs in two parts: the group grade (max 8) and an individual grade (max 8 points); the latter is based on a brief individual oral examination administered to each student in the project group.
Final Evaluation:
The two parts of the exam (online test and project) are each worth 50% of the total score. The final grade is obtained as the sum of the two grades in the two parts. The exam is passed if the final grade is greater than or equal to 18. It will be given a final grade of 30/30 cum laude to the students who achieve a final score equal to 32.

There are no differences between attending and non-attending students.

The online test is aimed at verifying skill 1 (Knowledge and understanding).
The project exam allows to verify skills 2, 3 and 4 (Applying knowledge and understanding, Making judgements, Communication skills).
The skill concerned with autonomous study (5, Learning skills) is indirectly verified, because passing the exam is also made possible by the autonomous search and original application of an AI-based solution to the problems posed by the teacher.

Testi

Course materials and lecture slides available on the e-learning platform.
Russell, S., Norvig, P. Artificial Intelligence: A Modern Approach, Global Edition, Pearson Education Limited, 2021
Eisenstein, J. Introduction to Natural Language Processing, MIT Press
Kelleher, J.D., Deep Learning, MIT Press

Contenuti

The course aims at giving a broad yet rigorous introduction to many aspects of artificial intelligence, including intelligent agents, knowledge representation, automated reasoning, natural language processing, deep learning, explainable AI and ethics of AI. Special emphasis will be given to the application of these concepts to ambient intelligence, human-AI interaction, image processing, natural language processing and text mining, and to the recognition of the technical and ethical implications of artificial intelligence on business and society.

Lingua Insegnamento

English

Altre informazioni

If the computer lab cannot be used, students are required to bring their own laptops

Corsi

Corsi

MONETA, FINANZA E RISK MANAGEMENT 
Laurea Magistrale
2 anni
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