English

This course examines the effects of urbanization and global environmental change on the geographies of cities across the world, with specific focus on urban environmental justice and inequality.

This course examines the relationship between patrons and audiences in painting, sculpture, and architecture through the 15th century.

This introductory astronomy course discusses the following topics: motion of celestial bodies; celestial vault; history of astronomy; telescopes and CCD cameras; astronomy from space; the solar system; stars; cosmological models; nearby universe.

This course explores topics of machine learning and deep learning, examining both the foundations and applications of the topics. Starting with the basics of how to pre-process data, the course then ventures into linear models. Further topics include cross validation, support vector machines, kernels, regularization, boosting, bootstrap aggregating, and stacking.

This course introduces the basic principles and hardware structures of a modern programmable computer. Students will explore computer architecture as the science and art of selecting and interconnecting hardware components to create a computer that meets functional, performance and cost goals. 

 Students will learn how to design the control and datapath for a pipelined RISC processor and how to design fast memory and storage systems. The principles presented in lecture are reinforced in the laboratory through design and simulation of a register transfer (RT) implementation of a RISC processor pipeline in Verilog.   

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 understands: - the motivation and the components of the Data Mining process; - the general concepts, technologies and methodologies of Data Warehouse, OLAP and Data Lake, as enabling factors of the Data Mining process; - the principles and the most relevant use cases of a wide set of Machine Learning algorithms which are used to extract relevant and actionable information from large amounts of data. At the end of the course the student is able to: - design the main steps of a Data Mining process - choose the Machine Learning methods best suited for the process - evaluate the quality of the result in order to support strategic and operational decisions. The course is divided into two parts: Data Mining and Machine Learning.

This course examines examples of statistical data and the use of graphical means to summarize the data. It covers basic distributions arising in the natural and behavioral sciences; the logical meaning of a test of significance and a confidence interval; and tests of significance and confidence intervals in the one and two sample setting (means, variances and proportions).

This course examines the government and politics of Europe. Particular attention will be given to the relationships between the largest European countries, the European Union, and the rest of the world. It will examine European policies in relation to a range of important contemporary issues including policies relating to international trade, climate change, Artificial Intelligence and international security. Throughout the course, an institutionalist perspective will be taken. It will examine the main formal and informal institutions at the national and international levels, as well as the main actors that shape policy outcomes.

This course examines distinctive forms of innovation as an experimental process, a recombinant search process, human-centric process and data-driven process. It also explores innovation at different levels of analysis from the team level to the firm level, all the way to the regional and global levels. It also covers what managers need to better understand and manage innovative businesses successfully and strategically.

This course explores the central developments in modern philosophy occurring between the foundation of modern empiricism and rationalism by Locke and Descartes in the 17th century, and the emergence of Kant’s philosophical system in the late 18th century.