Computer Science

This course examines information technology, using the web as a core case study. It covers the underlying hardware, software, networks and operating systems behind websites, and how to set up a functional website using this knowledge.

This course mainly teaches the theory, method and process of web-based application design, and requires students to master the characteristics of web technology, be able to describe the scenarios of web applications and carry out targeted and innovative application design, and be able to independently carry out the planning of web application design, information structure setup, interaction design and visual design. 

This course introduces students to the foundations and practices of designing user experiences with AI-empowered software systems. It covers essential concepts in AI, machine learning, and human-computer interaction. Students will receive theoretical training on the analysis, design, and evaluation of user interfaces. Through the lens of user-centered design, students will learn the end-to-end process from requirements gathering to prototyping, including practical training with prototyping software and emerging AI-assisted design tools. Special emphasis is placed on understanding user cognition, affective design, and persuasive design theories that inform effective user experiences.

This course is part of the Laurea Magistrale degree program and is intended for advanced level students. Enrollment is by permission of the instructor. At the end of the course, the student knows and can apply formal, ontological, and computational methods to deal with the semiotic interpretation of multimodal data and content. The interpretations considered concern different ontological levels. A 4E (embodied, enactive, embedded, extended) approach is assumed. This course covers interdisciplinary research across semiotics, ontology, artificial intelligence, and cognitive science.

The course is designed to prepare students for leadership in a globally interdependent and culturally diverse workforce. Throughout the course, students are challenged to question, think, and respond thoughtfully to the issues they observe and encounter in the internship setting, and the designated city in general. Students have the opportunity to cultivate the leadership skills of problem-solving, deliberation, negotiation, teamwork, intercultural communication, and systems thinking. In addition, the virtual nature of the course, with classmates attending from different regions of the world, offers a unique opportunity for cross-cultural comparative analysis. This is a hybrid course, with both online and in-person components. Online components include instructor led webinars, video lectures, discussion forums, assignments, and readings. Face-to-face elements of the course include local events, site visits, workshops, guest speakers, and participation in a prearranged internship, where students are required to work approximately 200-240 internship hours over the 8-week term.

In this course students will learn basic theories of user experience design and basic principles of human-computer interaction design through case studies. The course includes many topics: persona, user requirements gathering, usability requirements analysis, internet of things, virtual reality, augmented reality, machine learning, artificial intelligence, evaluation of web accessibility, etc.

This course examines the integration and application of IT technology within society, business, government, and community systems, highlighting trends like increased mobility, complexity, globalization, and networking in a data-centric world. It explores how IT technology enhances service delivery and competitiveness in a global, networked economy. It covers the role of information systems in business management and network formation, using real-world case studies to grasp how IS contributes to competitive advantage, as well as IS development, implementation, and maintenance, and ethical, privacy, and security considerations.

Information display is a technology for the visual presentation of images, text, or video transmitted electronically. The display is one of the major interfaces between humans and machines, which has broad applications. This course systematically introduces various display technologies as well as their current situations, helping students to engage in the display research field and industry.

This lecture covers advanced topics in machine learning, with a particular emphasis on practical applications. Several successful applications of machine learning are discussed, highlighting their specific characteristics. Topics covered include, among others, semi-supervised learning, boosting methods, optimization theory, kernel methods for structured data, and graphical models. Examples of successful applications include bioinformatics, computer security, and text mining.

In the scope of a project, students build radio astronomy components or perform radio astronomy measurements and data processing within interdisciplinary teams. They gain basic knowledge in high frequency technology and signal processing as well as electrical, mechanical, and software engineering. Students learn to understand the working principles of hardware and software related to radio astronomy. Using the knowledge and skills gained in other courses in electrical and computer engineering, participants are able to set up a a simple radio telescope. They document and present their work at the end of the project. After successful completion of this module, students are able to work in an interdisciplinary project team, understand general structure and components of radio telescopes, organize small interdisciplinary engineering projects, and use open source soft- and hardware tools for management and development. This course covers applied technical know-how regarding radio astronomy: e.g. characteristics of electromagnetic waves, components for transmitter and receiver circuits, antennas, transmission path, electronics, mechanics, programming, networking and other IT components etc.It discusses practical hardware, software and/or system design as well as manufacturing and implementation Students use electrical and RF measuring instruments and/or troubleshooting tools. They also study methods for planning and organizing projects and learn the technical and project documentation and presentation of the practical work.