Data Science for Intelligent Systems

Watch our trailer

Intelligent systems can be viewed as an organized aggregation of theories and methodologies from computer science, physics and engineering, whose main goal is the deployment of computer systems characterized by enhanced features such as sensing, proactive reasoning, learning and action planning.
Autonomous vehicles, medical diagnostic systems based on image processing, cognitive robotics, natural language processing represent only few examples of intelligent systems supporting people daily activities and improving their lifestyle.
The specialization "Intelligent Systems" of the Master’s Degree in Data Science of University of Naples Federico II is aimed at training the future generation of researchers and practitioners able to deal with the fundamental mechanisms of human reasoning and use this knowledge to design and develop intelligent systems systems in different application domains.
Moreover, the trainees in the specialization "Intelligent Systems" will be capable of implementing their ideas both on classical computational architectures and quantum computing frameworks, such as the IBM QX processors family.

Core disciplines

  • Computer Science and AI
  • Physics of Computing
  • Statistics and Optimization
  • Data Engineering
  • Neurosciences

Second year schedule


Course
CFU
Lecturer
Course outline
Quantum Computing Systems
8
Francesco Tafuri
outline
Artificial Intelligence and Quantum Computing
9
Giovanni Acampora
outline
Machine learning for Physics
9
To be announced
outline
Operational Research
6
To be announced
outline
Free Choice Exam
6
-
see note A
Free Choice Activity
2
-
see note B
Final Exam (Thesis/internship)
22
-
see note C
Total CFU second year
62

Notes


  1. NOTE A: Free choice exams can be selected among all exams offered by the Polytechnic and Fundamental Sciences School. We, however, recommend to select exams from the list in Table A.

  2. Note B: Other activities need to be discussed with the coordinator of the master. According to the RDA-UNINA 2 CFU correspond to 50 hours of activity. These consist of attendance to lectures or seminars, laboratory activity, etc.

  3. Note C: The Thesis will be either academic or detailed reports produced at the end of stages/internships in some industrial/academic partners of the Master.

Table I: suggested exams


course
CFU
notes
outline
Astroinformatics
6
Course offered at the Department of Physics
To be announced

Module
CFU
Teoria delle reti e applicazioni
6
Metodi Statistici per laValutazione
6
Ottimizzazione dinamica
6
Probabilità e processi stocastici
6
Modelli e metodi statistici per le previsioni
6
Statistica computazionale
6
Epistemologia critica delle scienze sociali: teorie metodi e dati
12
Finanza matematica
6
Metodi quantitativi per gli economisti
12
Analisi microeconomica
12
Analisi microeconomica - corso integrato
12
Auditing e governance d'azienda
12
Governance e strategia aziendale
12
Teoria della finanza
12
Software e applicazioni per l'analisi statistica di dati economici
6
Econometria
6
The digital society
6
Concept analysis in the web environment
6
Analisi organizzativa dei big data
6
Module
CFU
Numerical methods
6
Mathematical Physics Models
6
Ricerca operativa
6
Computational complexity
6
Algorithms and parallel computing
6
Information theory
6
Data security
6
Incertezza dei dati
6
Astroinformatica
6
Geoinformaticaa
6
Analisi dati in Fisica
6
Mathematics for Cryptography
6
Fisica computazionale
6
Image processing
6
Text mining
6
Data visualization
6
Introduzione alla bioinformatica
6
Bioinformatica avanzata
6
Teoria dei segnali
6
Statistical methods for industrial process monitoring
6
Advanced non linear methods for mechanical signal processing
6
Chimica computationale
6
Metodi computazionali per lo studio delle reazioni di interesse industriale
6
Module
CFU
Statistica medica per la RWE
12
Introduzione alla bioinformatica
6
Bioinformatica avanzata
6
Farmacoepidemiologia
6
Farmacoviglianza
6
Metodologia epidemiologia clinica
6
Fondamenti di Oncologia
6
Fondamenti di Cardiologia
6
Introduzione alle biotecnologie e biologia
6
Metagenomica
6
Genomica
6
Proteomica
6
Modellistica degli ecosistemi
6