Training and Research
PhD Programme Courses/classes - 2024/2025
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
Elements of Machine Teaching
Credits: 3
Language: English
Teacher: Ferdinando Cicalese
Multi Omics Patient Stratification
Credits: 3
Language: English
Teacher: Rosalba Giugno
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
Automated Software Testing
Credits: 4
Language: English
Teacher: Mariano Ceccato
Cyber-physical systems security
Credits: 3
Language: English
Teacher: Massimo Merro
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
Elements of Machine Teaching (2024/2025)
Teacher
Referent
Credits
3
Language
English
Class attendance
Free Choice
Location
VERONA
Learning objectives
Machine Teaching studies how efficiently a teacher can guide a learner to acquire a target hypothesis.
The classic works date back to the 1990’s [Shinohara91,Goldman95] consider the setting where the teacher sends in one shot a set of labeled examples to the learner, who then has to output the correct target hypothesis. In the more recent studies, the focus has been on the interactive setting, where the Teacher and Leaner interact over multiple rounds. In each round, the teacher sends examples to the learner, who returns some feedback; this process continues until the learner reaches the target hypothesis (or a good approximation of it). Machine teaching models have proved useful in several contexts, e.g., crowd sourcing, intelligent tutoring systems, analysis of training set attacks. Moreover, commercial tools are under development by the Microsoft Machine Teaching Group, as detailed on their web page, which are based on, or employ, the paradigm of machine teaching, e.g., PICL, which leverages the selection of examples that maximize the training value of the interaction with the teacher; LUIS for natural language understanding; and other projects on building models for autonomous systems, and tools enabling non-experts of machine learning to build their models.
Prerequisites and basic notions
Basic knowledge of algorithm analysis and discrete probability
Program
Foundations: From PAC learning to Active learning, to Machine Teaching; Teaching dimension concepts (batch, sequential, recursive, VC-dimension and sample compression); Interactive Machine Teaching and Black Box machine teaching; Application: human/robot/computer interaction, training-set attacks, crowdsourcing.
Bibliography
Didactic methods
Lectures (blackboard and slides)
Learning assessment procedures
Reading assignments and oral discussion
Assessment
Understanding of the basic concepts and ability to apply them in new contexts
Criteria for the composition of the final grade
The result will be Pass/Fail
Scheduled Lessons
When | Classroom | Teacher | topics |
---|---|---|---|
Tuesday 25 February 2025 12:30 - 16:30 Duration: 4:00 AM |
Ca' Vignal 2 - G [96 - terra] | Ferdinando Cicalese | Machine Teaching - 1 |
Wednesday 26 February 2025 12:30 - 16:30 Duration: 4:00 AM |
Ca' Vignal 2 - G [96 - terra] | Ferdinando Cicalese | Machine Teaching - 2 |
Friday 28 February 2025 12:30 - 16:30 Duration: 4:00 AM |
Ca' Vignal 2 - M [68 - 1°] | Ferdinando Cicalese | Machine Teaching - 3 |
Sustainable Development Goals - SDGs
This initiative contributes to the achievement of the Sustainable Development Goals of the UN Agenda 2030. More information on sustainabilityPhD school courses/classes - 2024/2025
Please note: Additional information will be added during the year. Currently missing information is labelled as “TBD” (i.e. To Be Determined).
1. PhD students must obtain a specified number of CFUs each year by attending teaching activities offered by the PhD School.
First and second year students must obtain 8 CFUs. Teaching activities ex DM 226/2021 provide 5 CFUs; free choice activities provide 3 CFUs.
Third year students must obtain 4 CFUs. Teaching activities ex DM 226/2021 provide 2 CFUs; free choice activities provide 2 CFUs.
More information regarding CFUs is found in the Handbook for PhD Students: https://www.univr.it/phd-vademecum
2. Registering for the courses is not required unless explicitly indicated; please consult the course information to verify whether registration is required or not. When registration is actually required, instructions will be sent well in advance. No confirmation e-mail will be sent after signing up. Please do not enquiry: if you entered the requested information, then registration was silently successful.
3. When Zoom links are not explicitly indicated, courses are delivered in presence only.
4. All information we have is published here. Please do not enquiry for missing information or Zoom links: if the information you need is not there, then it means that we don't have it yet. As soon as we get new information, we will promptly publish it on this page.
Teaching Activities ex DM 226/2021: Linguistic Activities
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Law and Economics]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Life and Health Sciences - 1 st Session]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Life and Health Sciences - 2 nd Session]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Natural Sci. and Engineering-1st Session]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Arts and Humanities]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Natural Sci. and Engineering-2nd Session]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC WRITING SKILLS [Arts and Humanities]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC WRITING SKILLS [Law and Economics]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC WRITING SKILLS [Life and Health Sciences - 1 st Session]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC WRITING SKILLS [Life and Health Sciences - 2 nd Session]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC WRITING SKILLS [Natural Sci. and Engineering-1st Session]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC WRITING SKILLS [Natural Sci. and Engineering-2nd Session]
Credits: 2,5
Language: English
Teaching Activities ex DM 226/2021: Research management and Enhancement
SEMINARIO AVANZATO SULLE RISORSE BIBLIOTECARIE PER LA RICERCA [Arts and Humanities]
Credits: 2,5
Language: Italian
SEMINARIO AVANZATO SULLE RISORSE BIBLIOTECARIE PER LA RICERCA [Law and Economics]
Credits: 2,5
Language: Italian
SEMINARIO AVANZATO SULLE RISORSE BIBLIOTECARIE PER LA RICERCA [Scientific Area]
Credits: 2,5
Language: Italian
Teaching Activities ex DM 226/2021: Statistics and Computer Sciences
Introduction to Probability (module I)
Credits: 1
Language: English
Teacher: Marco Minozzo
CORSO STATISTICA - LIVELLO BASE
Credits: 2,5
Language: English
Introduction to Probability (module II)
Credits: 1
Language: English
Teacher: Marco Minozzo
Introduction to Statistical Inference
Credits: 1
Language: English
Teacher: Marco Minozzo
Validità e affidabilità delle misure e dei test diagnostici
Credits: 0,5
Language: English
Teacher: Alessandro Marcon
USO DI R PER L'ANALISI STATISTICA - LIVELLO BASE
Credits: 1
Language: English
Disegno dello studio nella ricerca osservazionale e sperimentale
Credits: 1
Language: English
Teacher: Alessandro Marcon
USO DI R PER L'ANALISI STATISTICA - LIVELLO INTERMEDIO
Credits: 0,8
Language: English
Teacher: Alessandro Mantovani
Survival analysis: log-rank test, Kaplan-Meier survival curves, Cox regression model
Credits: 1,5
Language: English - Inglese
Teacher: Simone Accordini
APPLICATION OF META-ANALYSIS TO THE EPIDEMIOLOGICAL OR MEDICAL FIELD
Credits: 1
Language: Inglese
Teacher: Giuseppe Verlato
CORSO STATISTICA - LIVELLO INTERMEDIO
Credits: 2,5
Language: English
DETERMINATION OF SAMPLE SIZE TO ACHIEVE A PREDEFINED PRECISION OR POWER
Credits: 0,5
Language: inglese
Teacher: Giuseppe Verlato
GENERALIZED LINEAR MODELS: LOGISTIC REGRESSION, LOGLINEAR MODEL, POISSON MODEL
Credits: 1
Language: English
Teacher: Lucia Cazzoletti
Teaching Activities: Free choice
DOING INTERVIEWS IN QUALITATIVE RESEARCH
Credits: 2
Language: English
Teacher: Chiara Sita'
PROGETTAZIONE E CONDUZIONE DI FOCUS GROUP
Credits: 2
Language: Italian
Teacher: Alessia Maria Aurora Bevilacqua
PROTECTING PSYCHOLOGICAL WELL-BEING IN THE PHD PROGRAM. DEVELOPMENT AND ENHANCEMENT OF PERSONAL STRATEGIES AND ATTITUDES PREDISPOSING TO PROFESSIONAL SATISFACTION AND ETHICAL COLLABORATION
Credits: 1
Language: Italian
Teacher: Michela Rimondini
QUANDO LA RICERCA SI FA ETICA (PERCORSO ORGANIZZATO E FINANZIATO DAL TEACHING AND LEARNING CENTER DI UNIVR)
Credits: 2
Language: English
Teacher: Roberta Silva
Workshop /Participatory approaches and methods in doing research with local actors
Credits: 1,5
Language: English
Teacher: Antonietta De Vita
...E SE VOLESSI FARE IMPRESA
Credits: 1
Language: Italian
IMPARA IL MARKETING DIGITALE
Credits: 1
Language: Italian
LA POESIA ITALIANA ALL'ESTERO
Credits: 1
Language: Italian
Teacher: Massimo Natale
THE EMPIRICAL PHENOMENOLOGICAL METHOD (EPM): THEORETICAL FOUNDATION AND EMPIRICAL APPLICATION IN EDUCATIONAL AND HEALTHCARE FIELDS
Credits: 2
Language: English
Teacher: Luigina Mortari
DOTTORATO E MERCATO DEL LAVORO: WORKSHOP FORMATIVI PER DOTTORANDI E NEO-DOTTORI DI RICERCA
Credits: 4
Language: Italian
ARE YOU SURE YOU CAN DEFEAT A CHATBOT?
Credits: 1
Language: Italian
MEETING UKRAINE: THE IMPACT OF WAR AND FUTURE OPPORTUNITIES
Credits: 1
Language: Italian
OPEN SCIENCE: THE MIGHTY STICK AGAINST "BAD" SCIENCE
Credits: 2
Language: English
Teacher: Michele Scandola
Differential diagnosis of demyelinating diseases of the central nervous system
Credits: 2
Language: Italiano; English
Teacher: Alberto Gajofatto
EMOTIONS, BELIEFS, AND SKILLS TO FACE CLIMATE CHANGE AND EMBRACE CLIMATE ACTION
Credits: 0,5
Language: English
COMPUTATIONAL MECHANISMS UNDERLYING SENSORIMOTOR LEARNING
Credits: 4,5
Language: English
Teacher: Matteo Bertucco
CSF DYNAMICS: ANATOMICAL AND FUNCTIONAL FEATURES
Credits: 0,5
Language: English
Teacher: Alberto Feletti
sleep related disoders: focus on REM and NREM parasomnia and SR movement disorders
Credits: 1,5
Language: italiano o inglese
Teacher: Elena Antelmi
Tecniche di immagine per l'analisi della composizione corporea
Credits: 1
Language: Inglese/English
Teacher: Carlo Zancanaro
Tecniche di ricerca in neuroscienze: misurare e modulare l'attività neuronale
Credits: 2,3
Language: non prevista
Teacher: Giuseppe Busetto
PhD students
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Guidelines for PhD students
Below you will find the files that contain the Guidelines for PhD students and rules for the acquisition of ECTS credits (in Italian: "CFU") for the Academic Year 2023/2024.
Documents
Title | Info File |
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pdf, it, 104 KB, 29/10/24 |
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pdf, en, 107 KB, 29/10/24 |