Italy

The course focuses on Modern British Literature, and in particular the relationship between literary texts and their historical, linguistic, and artistic context. Special attention is placed on the critical methodologies useful for interpreting and analyzing literary texts. Students are expected to be able to elaborate complex analyses and formulate independent reflections on specific research topics. Students who write a research paper on a pre-approved topic are awarded 1 extra unit for the course. Maximum units for this course are 8. The course has two parts (A) and (B). The Spring 2022 topic is: Wilde in the Nineties: (PART A) PROSE and (PART B) POETRY. The course examines the various masks of the Oscar Wilde, the various fields in which he worked (poetry, theatre, novel, non-fiction, etc.) in an effort to determine if recent critical approaches obscure or illuminate his figure. The 1890s, caught between a dying Victorianism and a still uncertain Modernism, are the stage on which Wilde moves and acts, representing the contradictions of his era.

Tuscany is a world-renowned producer of fine quality wine, olive oil, and a wide variety of typical food products. Over the last few years, a growing number of Tuscan food entrepreneurs have embraced the principles of sustainability, through the introduction of business practices designed to minimize the consumption of natural resources, reduce emissions, and, ultimately, protect the environment for future generations. Sustainable productions, alongside iconic rural landscapes, farms, and vineyards, attract visitors from all over the world and thus make a positive contribution to the tourist industry and the local economy as a whole. This course focuses on Tuscany's food industry and its commitment to sustainability, as well as its relationship with tourism. It specifically explores how sustainability has impacted the food supply chain, inbound tourist flows, and food firms' competitiveness. The course analyzes a wide range of academic and managerial issues in connection with real-world business situations, thereby linking theory and practice.

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 the main tools used by economists and statisticians in machine learning and statistical learning to analyze large/huge data sets coming from several domains. The course highlights how to apply key aspects of machine and statistical learning, such as out-of-sample cross-validation, regularization, and scalability. Special attention is placed on the concepts of supervised and unsupervised learning, classification, regression, and clustering analysis as well as the detection of association rules. The course also focuses on the main learning tools such as lasso and ridge regression, regression trees, boosting, bagging and random forests, principal components, mixture models and the k-means algorithm. The course places emphasis on the application of the techniques discussed using dedicated open-source software packages on training datasets. Course topics: introduction and overview of statistical learning; linear regression as a prediction tool; binary and multinomial classification: logistic regression, linear discriminant analysis and k-nearest neighbors; resampling methods: cross-validation and the bootstrap; linear model selection and regularization: ridge regression, the lasso, and principal components; moving beyond linearity: regression splines, smoothing splines and general additive models; tree-based methods: CART, bagging, boosting, and random forests; support vector machines and neural networks; unsupervised learning: hierarchical and k-means clustering. The relevant theory will be applied to each topic and subsequently the analysis will move to its empirical application in the R language. Special emphasis is placed on the economic interpretation of the results. The course focuses in several empirical analyses and replicates the results of a few case studies using the statistical software R and several of its packages.

This course is part of the Laurea Magistrale program. Enrollment is by consent of the instructor. The course is intended for students who have a strong background in political science. The course focuses on political communication with emphasis on the relationship between political systems and media systems, political language, political marketing, new media and politics, and media and populism. Special attention is placed on the strategies of effective political communication used in political campaigns both in Europe and the U.S. and the role of mass media in the public sphere and its effects on public opinion. The course also an analysis of the principal forms of online political communication. Required readings include: COMUNICAZIONE POLITICA: LE NUOVE FRONTIERE by D. Campus, MEDIATIZATION OF POLITICS: A CHALLENGE FOR DEMOCRACY? By G. Mazzoleni and W. Schultz. The course includes lectures and a series of guest speakers. Assessment is based on a written exam that includes multiple choice and essay questions.

This course is part of the Laurea Magistrale degree program and is intended for advanced level students. Enrolment is by permission of the instructor. The student acquires historical and literary knowledge of women's popular culture with specific reference to travel literature and critical utopias, within a gender perspective. The course analyzes the strategies of representation of female identity, women's social role and agency in women's travel accounts such as letters, diaries and novels, from the 18th century to the present. It also investigates the double diversity of women travelers as different both from male travelers and from more socially conformist women. The course also explores to what extent these texts subvert or reinforce the position of women within the patriarchal social order and in the domestic sphere. For this reason, the texts chosen for the course are examined within their original cultural and social contexts, and in their interconnection with class, race, and gender discrimination.

Please note that there are different sections of this course at UNIBO, both at the LM and LT levels. The LM sections require special permission as they are part of the Laurea Magistrale in Direzione aziendale degree.This description applies to the LM course with Prof. Bolatto. This course analyzes the regulatory framework for trade and the regulatory issues relating to international markets and regional markets, such as U.S. and EU markets, and emerging markets in Africa and Asia. Topics include Institutional structures (GATT/WTO, NAFTA, EU, APEC, SADEC, CEDEAO) and Regulatory authorities; International dimensions of market regulation (tariffs and customs regulations, product safety and environmental restrictions, trademark and patent regulations); and settlement of disputes. The course discusses topics including multinational firms and foreign direct investments, global value chains, firm strategies in global value chains, and international princes and exchange rates.

This course 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 procedures and methods for modelling, identifying, designing, and analyzing dynamic motorcycle models. Topics include analytical tools to understand the basic mechanical systems, numerical tools to simulate complex mechanical systems, and experimental tools to identify critical parameters. The course discusses topics including motorcycle kinematics, suspensions, tire modelling, motorcycle dynamics, numerical modelling of the motorcycle dynamics, and experimental tests and model validation. The course consists of theoretical lectures, lectures and seminars held by experts from academic and industry, and classroom exercises with numerical tools and simulation software.

This course is part of the Laurea Magistrale program. The course is intended for advanced level students only. Enrollment is by consent of the instructor. At the end of the course, the student has a working knowledge of the basic tools and results of the classical microeconomic theory for perfectly competitive environments. In particular, the class focuses on: classical consumer theory: utility maximization and expenditure minimization; choice under uncertainty and insurance decisions; production theory, profit maximization, and cost functions; welfare analysis of perfectly competitive markets. Specific Topics covered: consumer behavior, consumer choice and demand; preference relations, rationality, and utility functions; the budget set; demand functions; indirect utility; utility maximization, expenditure minimization, and duality; individual and aggregated demand functions; welfare evaluation of economic changes; choice under uncertainty; expected utility theory; risk aversion and risk premium; the insurance decision; risk spreading, risk pooling, and diversification; production sets; profit maximization, cost minimization, and duality; aggregation; efficient production; partial equilibrium analysis; Pareto optimality and competitive equilibria; the fundamental welfare theorems in partial equilibrium; welfare analysis in partial equilibrium; pure exchange; Pareto optimality in general equilibrium; general economic equilibrium with production; the fundamental welfare theorems in general equilibrium.