Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

Study Plan

A.A. 2024/2025 A.A. 2023/2024 A.A. 2022/2023

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Master's degree in Artificial intelligence - Enrollment from 2025/2026

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.

1° Year

ModulesCreditsTAFSSD
12
B
ING-INF/05
12
B
INF/01
12
B
ING-INF/05

2° Year  activated in the A.Y. 2023/2024

ModulesCreditsTAFSSD
6
C
INF/01
Final exam
18
E
-
activated in the A.Y. 2023/2024
ModulesCreditsTAFSSD
6
C
INF/01
Final exam
18
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
1 module among the following
6
C
SECS-S/06
6
C
IUS/07
6
C
IUS/02
6
C
M-FIL/02
6
C
IUS/08
6
C
IUS/17
6
C
IUS/04
6
C
IUS/01
Between the years: 1°- 2°
2 modules among the following
6
C
INF/01
6
C
INF/01
6
C
ING-INF/05
6
C
INF/01
6
C
ING-INF/05
6
C
INF/01
6
C
ING-INF/06
Between the years: 1°- 2°
2 modules among the following
6
B
INF/01
6
B
INF/01
6
B
ING-INF/05
6
B
INF/01
6
B
ING-INF/05
Between the years: 1°- 2°
2 modules among the following
6
C
ING-INF/05
6
C
INF/01
6
C
FIS/02
6
C
INF/01
6
C
MAT/08
6
C
MAT/09
6
C
INF/01 ,ING-INF/05
6
C
INF/01
6
C
FIS/02
6
C
INF/01
6
C
MAT/06
Between the years: 1°- 2°
Further activities: 3 cfu training and 3 cfu further language skill or 6 cfu training. Foreign students must acquire compulsory 3 credits of Italian language skills
6
F
-
Between the years: 1°- 2°
12
D
-

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

HCI – Intelligent Interfaces (2022/2023)

Teaching code

4S010680

Credits

6

Coordinator

Andrea Giachetti

Language

English en

Also offered in courses:

Scientific Disciplinary Sector (SSD)

ING-INF/05 - INFORMATION PROCESSING SYSTEMS

MoodleMoodle Seminars 0

The teaching is organized as follows:

Advanced Interaction

Credits

3

Period

Semester 1

Academic staff

Andrea Giachetti, Gloria Menegaz

Lessons timetable
Fundamentals

Credits

3

Period

Semester 1

Academic staff

Andrea Giachetti

Lessons timetable

Learning objectives

The course aims to provide fundamental notions for the design and evaluation of interactive systems. The course will introduce basic concepts about usability and user experience, human factors, interaction paradigms, usability engineering and evaluation.
These concepts will be applied on standard and advanced interfaces with particular focus on natural interaction in Virtual and Mixed reality.
At the end of the course, the student will have to demonstrate knowledge and understanding of the basic principles of user-centered interaction design and will be able to apply them to the design of various types of computer interfaces.
He will be also able to develop prototypes of virtual / mixed reality applications, considering the specificities of the interaction and will be able to analyze the usability and the user experience of both standard interfaces and mixed reality applications.
This knowledge will provide the student with the ability to: i) independently assess the usability problems of the systems and select the correct evaluation methods for each different task; ii) expand and deepen the technical knowledge of the various aspects of the AI study path being able to consider the effects of human factors in the use of technology. At the end of the course, the student will also have to show that he is able to: i) design advanced AI-based interfaces design considering human factors
ii) Exploit HCI principles to make AI system understandable and design visualization tools for AI systems
iii) develop interactive 3D environments for usability analysis, training, interaction in mixed reality.

Prerequisites and basic notions

Basic knowledge of statistics and computer graphics

Program

Fundamentals of HCI Cognitive Aspects Humans, Vision and Color
Usability assessment: Data Collection and Data Analysis
Virtual Reality and Mixed Reality: Technologies, Cognitive and Human Aspects, Tracking and Rendering Solutions.
Lab: Prototyping and Prototype Evaluation with Unity Augmented Reality with Vuforia

Bibliography

Vai alla bibliografia
Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

Lectures and guided examples of usability evaluation and prototyping

Learning assessment procedures

presentation of scientific article on HCI and usability evaluation Oral on mixed reality interaction Prototyping and evaluation project

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Evaluation criteria

To pass the exam, students must demonstrate that they:
- have understood the concepts underlying man-machine interaction and the design of interactive systems
- are able to present their arguments in a precise and organic way;
-know how to apply the acquired knowledge to solve practical problems of design and usability evaluation

Criteria for the composition of the final grade

20% oral 80% activity evaluation

Exam language

Inglese