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.
Academic calendar
The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
Period | From | To |
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I semestre | Oct 1, 2024 | Jan 31, 2025 |
II semestre | Mar 3, 2025 | Jun 13, 2025 |
Exam calendar
Exam dates and rounds are managed by the relevant Science and Engineering Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.
Should you have any doubts or questions, please check the Enrollment FAQs
Academic staff
Study Plan
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
Modules | Credits | TAF | SSD |
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2° Year It will be activated in the A.Y. 2025/2026
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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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.
HCI – Intelligent Interfaces (2024/2025)
Teaching code
4S010680
Credits
6
Coordinator
Not yet assigned
Language
English
Also offered in courses:
- Human-Computer Interaction - Teoria of the course Master's degree in Computer Science and Engineering
- Human-Computer Interaction - Laboratorio of the course Master's degree in Computer Science and Engineering
Scientific Disciplinary Sector (SSD)
ING-INF/05 - INFORMATION PROCESSING SYSTEMS
Courses Single
Authorized
The teaching is organized as follows:
Theory
Credits
4
Period
I semestre
Academic staff
Not yet assigned
Laboratory
Credits
2
Period
I semestre
Academic staff
Not yet assigned
Learning objectives
The course introduces students to the fundamental theories and concepts of human-computer interaction (HCI), which is an interdisciplinary field that draws from cognitive psychology, computer science, and design. HCI aims to provide both theoretical understanding and hands-on experience in key aspects of human perception, cognition, and learning as they relate to interface design, implementation, and evaluation. Covered topics include interface design, usability evaluation, universal design, and multimodal interfaces (touch, vision, natural language, audio). Special emphasis will be placed on equipping students with foundational knowledge, methodologies, and tools necessary for designing, implementing, and evaluating computer systems capable of capturing, representing, and automatically analyzing user behavior. This encompasses various forms of non-verbal communication, including gestures, movements, facial expressions, and speech. Moreover, students will learn strategies for effectively interacting with users by providing multisensory feedback, utilizing elements such as images, sounds, and control of actuators.
At the end of the course, students will:
- Understand the rationale behind utilizing multimodal interactive systems for specific applications, comprehend the logical architectures defining the main components of such systems, grasp the design and development guidelines for multimodal interactive systems, and recognize the potential application areas for their successful deployment.
- Familiarize themselves with the key devices for capturing user behaviour data, comprehend their functionality, and discern appropriate usage scenarios.
- Acquire knowledge of essential techniques for representing and automatically analysing user behaviour, including those that process data from multiple sensor devices across various sensory channels.
-Demonstrate proficiency in designing and implementing major components of a multimodal interactive system using the development tools introduced in lectures and practical sessions throughout the course.
Type D and Type F activities
Training offer being defined
Career prospects
Module/Programme news
News for students
There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and soon also via the Univr app.
Career management
Attendance
As stated in the Teaching Regulations for the A.Y. 2022/2023, attendance at the course of study is not mandatory.
Graduation
Deadlines and administrative fulfilments
For deadlines, administrative fulfilments and notices on graduation sessions, please refer to the Graduation Sessions - Science and Engineering service.
Need to activate a thesis internship
For thesis-related internships, it is not always necessary to activate an internship through the Internship Office. For further information, please consult the dedicated document, which can be found in the 'Documents' section of the Internships and work orientation - Science e Engineering service.
Final examination regulations
The teaching activities related to the preparation of the final exam for the achievement of the degree and its verification consist of the preparation and discussion of a written paper in English (dissertation) related to the in-depth study of a scientific theme addressed in the course of studies, i.e. related to the analysis and solution of a case study (theoretical and/or directly derived from a problem of an industrial nature) or related to a work of an experimental type, which can also be developed within an internship course carried out at research institutions, schools, laboratories, and companies, or by taking advantage of study stays in Italy and abroad, or the result of autonomous and original research work, with related aspects of mathematical formalization, computer design, business-oriented realization. These activities may be carried out under the guidance of a supervisor at a university facility, or even outside the University of Verona, both in Italy and abroad, as long as it is recognized and accepted for this purpose in accordance with the Didactic Regulations of the Master's Degree Course in Artificial Intelligence. The CFUs assigned to the final examination (evaluation of the thesis) are 18. The committee in charge of the evaluation of the final exam (dissertation in English) is called to express an assessment that takes into account the entire course of study, carefully evaluating the degree of coherence between educational and professional objectives, as well as the candidate's capacity for autonomous intellectual elaboration, critical sense, communication skills, and general cultural maturity, in relation to the objectives of the Master's Degree course in Artificial Intelligence, and particular, in relation to the themes characterizing the dissertation.
Students may take the final examination only after they have fulfilled all other educational obligations set forth in their study plan and fulfillments at the administrative offices in accordance with the deadlines indicated in the general study manifesto.
The final evaluation and proclamation will be made by the final exam committee appointed by the chairperson of the teaching committee and composed of a chairperson and at least four other commissioners chosen from the faculty of the University.
The material submitted for the final examination is evaluated by the Thesis Evaluation Committee, composed of three faculty members, including possibly the thesis advisor, and appointed by the chair of the teaching college. The Thesis Evaluation Committee formulates an evaluation of the work done and forwards it to the final examination committee, which will make the final judgment.
The teaching committee shall regulate the procedures of thesis evaluation committees, final examination committees, and the scoring of the final examination by special regulations passed by the teaching committee.