Training and Research
PhD Programme Courses/classes
This page shows the PhD course's training activities for the academic year 2024/2025. Further activities will be added during the year. Please check regularly for updates!
Introduction to Blockchain
Credits: 3
Language: English
Teacher: Nicola Fausto Spoto
Principles and Applications of Abstract Interpretation
Credits: 3
Language: English
Teacher: Michele Pasqua
AI and explainable models
Credits: 5
Language: English
Teacher: Lorenza Brusini
Automated Software Testing
Credits: 4
Language: English
Teacher: Mariano Ceccato
Multi Omics Patient Stratification
Credits: 3
Language: English
Teacher: Rosalba Giugno
Cyber-physical systems security
Credits: 3
Language: English
Teacher: Massimo Merro
ACADEMIC WRITING IN LATEX
Credits: 3
Language: English
Teacher: Enrico Gregorio
A practical interdisciplinary PhD course on exploratory data analysis
Credits: 4
Language: English
Teacher: Rui Pedro Fernandes Ribeiro
Elements of Machine Learning
Credits: 3
Language: English
Teacher: Ferdinando Cicalese
Genomica informazionale: contenuto informativo dei genomi e s divergenza dalla randomicità
Credits: 3
Language: English
Introduction to Quantum Machine Learning
Credits: 3
Language: English
Teacher: Alessandra Di Pierro
Laboratory of quantum information in classical wave-optics analogy
Credits: 3
Language: English
Teacher: Claudia Daffara
ACADEMIC WRITING IN LATEX (2024/2025)
Teacher
Referent
Credits
3
Also offered in courses:
- ACADEMIC WRITING IN LATEX of the course Scuola di Dottorato
Language
English
Class attendance
Free Choice
Location
VERONA
Learning objectives
Basic knowledge of the LaTeX language
Ability to write a document in LaTeX
Prerequisites and basic notions
Basic knowledge of computer usage
Program
Generalities on typography
Difference between typography and word processing
Generalities about LaTeX
Commands and environments
Bibliographies and cross-references
Bibliography
Didactic methods
The course will be delivered in dual mode (in presence and via Zoom). Recordings will be made available.
Learning assessment procedures
Preparation of a document certifying the learning of the basic techniques
Assessment
Adequacy of LaTeX coding
Presence of all required elements
Criteria for the composition of the final grade
The grade will be pass/fail
