English

The course intends to trace back current situations to their historical backgrounds. The course contents consist of a brief exploration of the philosophy of history and some issues regarding historical perspective, a discussion of the concepts of "state" versus "nation" (in anticipation of issues regarding decolonization, specific regional conflicts, and possible sources for conflict in general that will also be discussed) and a discussion of the Cold War as an influential factor in recent history. Additional course contents, under the captions of “Area surveys” and “Assessment of the current global situation” respectively, are built around a case that represents the underlying problem, and both combined will lead the students to specific source material. Examples of such cases are decolonization, the economic development of Asia, conflict in Africa, and the implications of the current position of the USA as "solitary superpower." The course discusses the main trends in politics, demography, society, and culture over the last 70 years and to put these trends in a global context. The course develops a critical attitude towards the use of historical theory, and the interpretation of historical data and processes.

This course examines the field of mathematical analysis both with a careful theoretical framework as well as selected applications. It shows the utility of abstract concepts and teaches an understanding and construction of proofs in mathematics. The course starts with the foundations of calculus and the real numbers system. It goes on to study the limiting behavior of sequences and series of real and complex numbers. This leads naturally to the study of functions defined as limits and to the notion of uniform convergence. Returning to the beginnings of calculus and power series expansions leads to complex variable theory: elementary functions of complex variable, the Cauchy integral theorem, Cauchy integral formula, residues and related topics with applications to real integrals.

This course is part of the Laurea Magistrale program in cultural anthropology. The course is intended for advanced levels students only. Enrollment is by consent of the instructor. The course focuses on Algorithmic Patriarchy? Feminist critiques of technosocietal relations

The course is a component of the integrated course (IC) in "Political Theory". Combining a close reading of some of the most recent contributions of feminist political theory to the understanding and critique of the “politics of the algorithm” with the reading and comment of some classic texts of women's political thought in the second half of the twentieth century, the course investigates how the algorithm redefines some key political concepts in the field of tension between masculine domination and women's freedom. Using conceptual history, and providing a political understanding of the technical dimension of algorithmic operations (such as search of keywords on internet, facial recognition, datamining) the course provides students with the tools necessary to highlight the continuities and discontinuities that the algorithm determines in patriarchal social relations and liberation practices starting from the reflection around some key-concepts for feminist political theory: nature (sex / gender, domination / power); identity (codification / politicization); recognition (discrimination / struggle); difference (universal / particular).

At the end of the course students will acquire a knowledge of the ways in which women had historically criticized the theoretical justification of their subordination articulated in Western political and social thought. By applying the fundamental tools of feminist and post-colonial theories, the course will provide an historical analysis of political and social concepts – such as authority, freedom, rights, citizenship, society, labor – as the expression of gendered relations of power.

This course introduces students to the theoretical and practical aspects of sport and exercise coaching. Through active participation in lectures, tutorials and practical workshops, students learn how to create a positive sporting environment by utilizing athlete-centered coaching strategies. Students also learn how to evaluate and improve their own coaching performance by applying reflective and evaluative skills. Topics covered include coaching, training and management principles, coaching pedagogy, planning, skill learning and sports psychology. Students also complete the beginning coaching general principles course. At the completion of this course, students are more confident and knowledgeable in their coaching practice.

This course provides an introduction to the quantitative analysis of data, blending classical statistical methods with recent advances in computational, and machine learning. Students cover key topics such as the challenges of analyzing big data using statistical methods, and how machine learning and data science can aid in knowledge generation and improve decision-making. Students also explore quantitative methods of text analysis, including mining social media and other online resources.