Didattica Corso di Dottorato in Ingegneria dell'Informazione

Didattica Corso di Dottorato in Ingegneria dell’Informazione

1) Corsi specifici Corso di Dottorato in Ingegneria dell’Informazione mutuati in parte o in toto da Corsi di Laurea (L/LM)

• Il calendario dei corsi mutuati dalla Laurea (L) o dalla Laurea Magistrale (LM) è definito dall’organizzazione didattica dei Corsi di Laurea (Ingegneria Elettronica. Ingegneria Informatica e dell’Automazione, Ingegneria Biomedica) da cui derivano. Il calendario delle lezioni è consultabile nel sito ufficiale dell'Università.

• Per ogni ulteriore informazione si prega di contattare direttamente il docente.

2) Corsi specifici aggiuntivi del Corso di Dottorato in Ingegneria dell'informazione

Prof. Marco Farina (UNIVPM)

Techniques of Scanning Probe Microscopy (SPM)

Agenda:

• 04/03/2026, 09:30 - 12:30, room: B11
• 11/03/2026, 09:30 - 12:30, 
• 18/03/2026, 09:30 - 12:30, 
• 25/03/2026, 09:30 - 12:30

The lessons will be held in person. Where not explicitly indicated, the classroom (or laboratory) will be communicated directly to the interested students by the Professor.

TOPICS

Introduction to the SPM techniques

Atomic Force Microscopy (AFM): contact and semi-contact techniques, deflection and lateral force measurements, techniques for electrical properties characterization (Spreading Resistance)

Scanning Tunneling Microscopy (STM)

Piezo-Force Microscopy (PFM) and techniques by electrostatic forces (EFM, Kelvin-Probe Microscopy)

Near-Field Scanning Microwave Microscopy: broadband and resonant techniques, frequency and time-domain

The inverted SMM (i-SMM)

-Special applications: material science (2D material characterization, semiconductors etc), biology and biophysics (cells, organelles, bacteria and viruses)

INFO: for any information please contact m.farina@staff.univpm.it

HOURS: 12

YEAR: I o II

FINAL EXAM: No

CREDITS: 1.5

Prof. Emanuele Storti (UNIVPM)

Knowledge Graphs: Theory, Models and Applications

Agenda:

• to be determined

Room: DII Library (streaming available upon request). DII, Q. 165.

TOPICS

A course on the fundamental theory, applications, and practical aspects related to Knowledge Graphs:

• Representation models (RDF vs LPG)
• Query languages (Cypher, SPARQL)
• Graph schemas (RDFS, OWL)
• Building a graph
• Quality evaluation (reasoning, SHACL)
• Applications: semantic search, natural language processing, graph embeddings, LLMS

Lessons will include a practical session with a hands-on lab covering graph store usage, graph querying, and graph engineering.

Emanuele Storti works as an Associate Professor in Computer Engineering at DIl. His research interests include knowledge-based systems, leveraging knowledge structures, semantic technologies, federated approaches and effective data integration methods, with applications spanning diverse fields, including Data Lakes, Process Management, and Data Stream Management.

LANGUAGE

The course will be taught in English unless it is attended only by Italian speakers.

INFO: for any information please contact e.storti@univpm.it

HOURS: 12
YEAR: I o II

FINAL EXAM: Yes
CREDITS: 1.5

Prof. Andrea Di Donato (UNIVPM)

Optical Interferometry and Holography

Agenda:

20/11/26, h. 9:30-12:30

27/11/26, h. 9:30-12:30

04/12/26, h. 9:30-12:30

11/12/26, h. 9:30-12:30

Room: to be determined

TOPICS

- principles of interferometry

- temporal and spatial coherence

- basics of holography

- techniques for phase extraction

INFO: for any information please contact a.didonato@staff.univpm.it

HOURS: 12, hours per lesson: 3

YEAR: II

FINAL EXAM: Yes

CREDITS: 1.5

Prof. Paolo Crippa (UNIVPM)

Statistical Design of Integrated Circuits

Agenda:

12/05/2026, 13:30 - 16.30.

13/05/2026, 14:30 - 17.30.

19/05/2026, 14:30 - 16.30.

20/05/2026, 14:30 - 17.30.

26/05/2026, 14:30 - 16.30.

27/05/2026, 14:30 - 17.30.

Room: Electronics teaching laboratory, Q165

TOPICS

- Introduction to statistical variations at the device, circuit, and system level in integrated electronics.

- Statistical variations in integrated circuits.

- Device mismatch models: empirical, electrical, layout-level, SPICE model-level, and physical/atomistic level.

- The effect of device mismatch on the performance of analog and digital integrated circuits.

- Parametric yield in modern integrated circuits.

- Statistical design techniques.

- Statistical simulation of integrated circuits: Monte Carlo and non-Monte Carlo techniques.

- Statistical simulation tools.

INFO: for any information please contact p.crippa@staff.univpm.it

HOURS: 16

YEAR: I

FINAL EXAM: Yes

CREDITS: 2

Prof. Laura Falaschetti (UNIVPM)

Edge AI for Solving Real-World Problems: Theory and Applications

Agenda:

22/05/2026, h. 14:30-17:30

25/05/2026, h. 14:30-17:30

29/06/2026, h. 14:30-17:30

03/06/2026, h. 14:30-17:30

05/06/2026, h. 14:30-17:30

10/06/2026, h. 14:30-17:30

12/06/2026, h. 14:30-17:30

17/06/2026, h. 14:30-17:30

Room: Electronics Teaching Laboratory, DII, Q165

TOPICS

1. Introduction to Artificial Intelligenge (AI),

Machine Learning (ML), Deep Learning (DL)

2. Introduction to Edge AI, Embedded ML, TinyML

3. Common Real-World Use Cases for Edge AI

4. Hardware for Edge AI: hardware

architectures (CPU, GPU, NPU, FPGA, ..),

embedded systems, devices and sensors AI-programmable

5. Algorithms for Edge AI: optimizing ML

and DL algorithms for deployment on embedeed devices

6. Software Tools and Libraries: Google

Colaboratory, ST Edge AI Suite, Edge

Impulse, Ultralytics, TensorFlow, TensorFlow Lite, Keras

7. Manage Datasets: dataset acquisition, data processing, data augmentation

8. Design and development of Edge AI applications.

INFO: for any information please contact: l.falaschetti@staff.univpm.it

HOURS: 24

YEAR: II

FINAL EXAM: Yes

CREDITS: 3