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Percorso della pagina
  1. Science
  2. Master Degree
  3. Artificial Intelligence for Science and Technology [F9103Q - F9102Q]
  4. Courses
  5. A.Y. 2023-2024
  6. 2nd year
  1. Intelligent Consumer Technologies
  2. Summary
Insegnamento Course full name
Intelligent Consumer Technologies
Course ID number
2324-2-F9102Q014
Course summary SYLLABUS

Course Syllabus

  • Italiano ‎(it)‎
  • English ‎(en)‎
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Obiettivi

Contenuti sintetici

Programma esteso

Prerequisiti

Modalità didattica

Materiale didattico

Periodo di erogazione dell'insegnamento

Modalità di verifica del profitto e valutazione

Orario di ricevimento

Sustainable Development Goals

IMPRESE, INNOVAZIONE E INFRASTRUTTURE
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Aims

This course will explore the intersection of artificial intelligence, machine learning, communication technologies and consumer technology. Students will gain a comprehensive understanding of the current state of intelligent consumer technologies, as well as their potential future development and impact, including emerging trends, cutting-edge research, and real-world applications. Topics will include also Internet of Things, signal, image, natural language processing, recommender systems, and more.

Contents

The course consists of a theoretical part and a part of exercises.

The theoretical part aims at exploring artificial intelligence, machine learning, communication technologies and consumer technologies. The part of the exercises aims to deepen IntelliCT ecosystem from a practical point of view: intelligent sensing applications in home environment, in healthcare etc.

The practical part consists in basic and advanced exercises using deep learning frameworks.

Detailed program

Detailed program
• Introduction to Intelligent Consumer Technologies
• Signal, image, and natural language processing in Consumer Technologies
• Personalization, recommender, and adaptive systems
• Smart Environments and Internet of Things
• Future directions and impact of Intelligent Consumer Technologies
• Ethical, legal, and societal implications of Intelligent Consumer Technologies
• Project development and presentation

Prerequisites

Fundamental of AI, Machine and Deep Learning, Fundamental of Communication Technologies, Fundamental of programming.

Teaching form

Lectures and assisted exercises.
Lessons will be held in presence, unless further COVID-19 related restrictions are imposed.

Textbook and teaching resource

• Scientific articles suggested by the teacher.
• Teachers' slides (http://elearning.unimib.it/)
• GitHub of the course:
1. https://github.com/paolonapoletano
2. https://github.com/CeLuigi

Semester

First semester

Assessment method

The exam consists in the design and realization of project assigned by the teacher. The project will be discussed as oral presentation and the teacher can ask questions about theoretical parts of the course program.

Office hours

  • Paolo Napoletano, Monday from 14 to 16
  • Luigi Celona, Wednesday from 14 to 16

Sustainable Development Goals

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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Key information

Field of research
INF/01
ECTS
6
Term
First semester
Activity type
Mandatory to be chosen
Course Length (Hours)
56
Degree Course Type
2-year Master Degreee
Language
English

Staff

    Teacher

  • Luigi Celona
    Luigi Celona
  • Paolo Napoletano
    Paolo Napoletano

Students' opinion

View previous A.Y. opinion

Bibliography

Find the books for this course in the Library

Enrolment methods

Manual enrolments
Self enrolment (Student)

Sustainable Development Goals

INDUSTRY, INNOVATION AND INFRASTRUCTURE - Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
INDUSTRY, INNOVATION AND INFRASTRUCTURE

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