English

The course is a continuation of CS 141A MACHINE LEARNING A course and provides deeper theoretical foundations of machine learning and a number of advanced theoretically grounded learning techniques. A tentative list of topics includes: basics in optimization theory, basics of information theory, advanced techniques for analyzing generalization power of learning algorithms, Kernel methods, ensemble classifiers and weighted majority vote, and Bayesian inference. Prerequisite: CS 141 MACHINE LEARNING A. 

This course helps students develop skills in the performance of Renaissance vocal music. Coaching in the performance of the rich tradition of Renaissance music, drawing on both sacred repertories (e.g., Latin motets) and secular repertories (e.g., partsongs in English, French or other languages). Small ensembles consisting of very few singers per part are formed, involving both male and female voices.

This course introduces the formation and geological evolution of sedimentary basins in order to understand the spatial distribution of different units and the exploitation of the subsurface. The course includes lectures and practicals in basin forming processes with focus on the relation between subsidence (including faults and saltstructures) and deposition of different reservoirs in time and space; the use of reservoirs with respect to drinking water production, CCS, geothermal energy, heat storage and the formation/production of fossil fuel; introducing geotechnical methods and the link to geological problems; and carbon cycles. Different methods for analyzing basins and reservoirs are also introduced, including reflection seismics, well logging, organic geochemistry, geotechnical measurements, and thermal evolution (modelling).

The theme of ‘community’ is not one that can be pinned down in any straightforward and simplistic way but requires attention to multiple dimensions. This course uses empirical studies and perspectives from a range of international studies to examine the nature of change and significance through which communities and ‘community’ can be read. The experience of changing community life will analyze some enduring themes such as: belonging, identity, mobility, construction of community, and social ties. Another key objective of this course is to explore historical and contemporary attempts to engage communities (community sector) through policies of development and support.

This course examines the basic aesthetic, economic, sociological, and technological aspects of film.

This course explores how literature, cinema, history, biology, anatomy, pathology, catastrophic events, and cultural diversity have been shaped and driven by teeth, the face, and the human smile. Using the "smile" and “teeth” as focal points, a host of different relations with society will be explored to create a critical understanding around ambiguous issues such as the concept of beauty, the changing nature of health, and the relationship between the “natural” and the “artificial”. Additionally, by using active learning as a vector, students broaden their perspectives and enhance their collaborative, innovative, and self-directed spirits. Thus, by examining the history and current understanding of the "smile" and "teeth", the course illuminates the relationships between science, technology, and everyday life in a cross-cultural context. How can a smile impact a society?

Nutritional Pathology and Metabolism introduces nutrition-related diseases in terms of pathophysiology and treatment, emphasizing macronutrients (carbohydrate, fat, and protein). It provides a basic understanding of the principles of the metabolic pathway in human bodies as a core pathogenesis of human diseases. Students develop a nutrition care plan as a component of health care for individuals.   

Suggested prerequisites: Human Physiology, Basic Nutrition, Nutritional Biochemistry 

This course approaches forensic psychology as a field shaped by evidence, interpretation, method, and power. Students explore how police, courts, therapists, and predictive technologies translate lived experiences of harm into technical categories; risk, pathology, disorder, and how these translations influence decisions about victims and offenders. Students also critically analyze why victims sometimes remain attached to their perpetrators, drawing on emerging frameworks such as weaponized attachment.

The course develops a systematic understanding of the key areas of international economics: trade, investment and finance, and how they impact each other. In the first part of the semester, particular attention is given to theoretical analyses of trade. Linked to this core are several specific issues which are studied in the second part of the semester: international factor movements; income distribution and trade; economic integration; multinational enterprises; and environmental policies. The course pays special attention to the economy of the hosting country and the European Union and regularly refer to the economic, political and financial relationships between the latter and the USA. Lectures are complemented with field trips, guest lectures and workshops in which theories are applied to real case studies. Throughout the course there is a focus on Rome as a case study for International Economics, with study visits to Trajan’s Market, Bulgari, the working-class social housing of Garbatella, the Museum of the Bank of Italy and the European Union Centre. Guest lecturers from the FAO and WFP, and representatives from the EU are invited to share the role and place of sustainability in shaping the future economic organization.

This course opens the door to higher mathematics, science and technology, as well as economics and social science. This course emphasizes skills, theory, and applications. The course presents the core of the linear algebra as an axiomatic development of the most important elements of finite-dimensional linear algebra and progresses into more abstract areas as we add structure to our knowledge: Fields and Vector spaces, Linear Operators, Determinants and eigenvalues, The Jordan canonical form, Orthogonality and its most important application of best approximation, spectral theory of symmetric matrices and Hermitian matrices, The singular value decomposition, Matrix factorizations and numerical linear algebra, Infinite dimensional vector spaces and Analysis in vector spaces. Linear algebra forms the basis for much of modern mathematics-theoretical, applied, and computational.