English

This course explores a range of topics related to technologies of contemporary digital and social media, with particular attention to understanding technical, historical, ethical and legal issues. Students learn to express themselves effectively with digital media, and especially on the web. Topics include: digital media and communication; understanding SNS; the future of smart digital media; digital broadcasting; human computer interaction and trends of digital media.

This course covers heat budget of the Earth, heat transport to the Earth´s surface, geothermal systems and their structure, renewability of geothermal systems, methodology in geothermal development, estimation of resource size, fluid origin and chemistry, water-rock interaction, environmental impact of utilization, and well testing and well data integration.  

This is a graduate level course that is part of the Laurea Magistrale program. The course is intended for advanced level students only. Enrollment is by consent of the instructor. The course focuses on basic notions of complexity and network sciences and the identification, formulation, modelling, and analysis of new problems that arise in modern computing systems. The course requires basic notions of computer system architecture, computer networks, operating systems, and probability theory as a prerequisite. Modern information systems and services often rely on large numbers of independent interacting components to provide their functions. Under certain conditions, the behavior that results from these interactions can be unexpected and surprising. Complexity Science is an interdisciplinary field for studying global behaviors resulting from many simple local interactions in an effort to characterize and control them. Networks allow us to formalize the structure of interactions. They play a central role in the transmission of information, transportation of goods, spread of diseases, diffusion of innovation, formation of opinions and adoption of new technologies. Network Science is an interdisciplinary field for studying the interconnectedness of modern life by exploring fundamental properties that govern the structure and dynamic evolution of networks. The course discusses topics including: Complex systems: definitions, methodologies; Dynamical systems, Nonlinear dynamics; Chaos, Bifurcations and Feigenbaum constant, Predictability, Randomness and Chaos; Models of complex systems, Cellular automata, Wolfram's classification, Game of life; Autonomous agents, Flocking, Schooling, Synchronization, Formation creation; Cooperation and Competition, Game theory basics, Nash equilibrium; Game theory: Prisoner's Dilemma, Coordination games, Mixed strategy games; Adaptation, Evolution, Genetic algorithms, Evolutionary games; Network Science: Definitions and examples; Graph theory, Basic concepts and definitions; Diameter, Path length, Clustering, Centrality metrics; Structure of real networks, Degree distribution, Power-laws, Popularity; Models of network formation; The Erdos-Renyi random model; Clustered models; Models of network growth, Preferential attachment; Small-world networks, Network navigation; Peer-to-peer systems and overlay networks; Structured overlays, DHTs, Key-based routing, Chord; Distributed network formation: Newscast, Cyclon, T-Man; Processes on networks: Aggregation; Rational dynamics: Cooperation in selfish environments, Homophily, Segregation; Diffusion, Percolation, Tipping points, Peer-effects, Cascades.

This course examines the nature and value of democracy, and the various roles played by citizens and constitutions in sustaining it. The first part of the course examines different justifications for democracy and different understandings of the nature of the democratic process. The second part of the course focuses on issues of democratic citizenship, such as who should be viewed as a citizen, and whether democratic citizens have duties to obey the law and to vote. The final part of the course studies some of the ways law and politics interact with a particular focus on the relationships between constitutions, judicial review, and democracy.

From religious rituals to personal identity, propaganda to public protests, media spectacles to interactive artworks, performance is a prevalent feature of contemporary societies. Performance Studies draws on anthropology, cultural studies and art theory to explore how these and related phenomena work, what effects they have, and how they relate to each other. This introductory course provides an overview of the key concepts behind a fast‐developing discipline, and uses them to interpret a range of social practices and performance events that can be found in Singapore and other highly globalized societies. The course combines fieldwork, critical thinking, and performance analysis.

This course introduces biological sequence analysis methods. The course provides familiarity with the vast amounts of biomedical and genomic data and online tools. The first part of the course explores basic algorithmic strategies, sequence alignment, chaining algorithms, and genomics. If time allows, Hidden Markov models (the Viterbi algorithm) are discussed. The second part covers sequence assembly, max-sum/max-density segments, data analysis, and more techniques used in genomics analysis.