000913LM1 - MACHINE LEARNING

courses
ID:
000913LM1
Duration (hours):
24
CFU:
3
SSD:
INFORMATICA
Located in:
PESCARA
Url:
ECONOMICS AND BUSINESS INFORMATICS/CORSO GENERICO Year: 3
Year:
2025
Course Catalogue:
https://unich.coursecatalogue.cineca.it/af/2025?co...

Overview

Date/time interval

Primo Semestre (17/09/2025 - 14/12/2025)

Syllabus

Course Objectives

Students will be able to correctly formulate and solve machine learning problems.
Learning outcomes

Knowledge and understanding

- Provide an overview of the main techniques of machine learning: classification, regression, supervised and unsupervised learning.
- Knowledge of the Python programming language.

Applying knowledge and understanding
- Solve machine learning problems starting from various data sets, by applying the techniques studied.
- Use of the Python programming language.

Course Prerequisites

None.

Teaching Methods

Lectures.
Laboratory exercises in Python using various libraries for machine learning.

Assessment Methods

Written examination and oral discussione of a Machine Learning project.

Texts

Stuart Russell, Peter Norvig. Artificial Intelligence: A Modern Approach, Global Editio. 4th Edition. Pearson. 2022.

François Chollet. Deep Learning with Python, Second Edition. Manning Publications. 2021.

Contents

The aim of the course is to present machine learning techniques in the field of artificial intelligence, such as neural networks and deep learning, discussing their properties and applicability.

Course Language


Italian

Degrees

Degrees

ECONOMICS AND BUSINESS INFORMATICS 
Bachelor’s Degree
3 years
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