Educational objectives Learning goals
Knowledge and comprehension of the basic concepts and techniques of linear algebra and of analytic geometry of the plane and the space and ability to apply them to the study and resolution of simple problems also in the context of other courses.
Knowledge and understanding
Good theoretical and practical knowledge of matrices, linear systems and other fundamental notions of linear algebra and ability to understand these issues also in the context of other courses.
Applying knowledge and understanding
Ability to use the acquired skills for solving simple problems on matrices, linear systems and other fundamental notions of linear algebra, also for their use required in other courses.
Making judgements
Good ability to recognize, frame and set out the resolution of simple problems on matrices, linear systems and other fundamental notions of linear algebra, possibly selecting appropriately among the methods learned. Communication skills
Good presentation skills of basic concepts and techniques of linear algebra as well as solution methods to simple problems.
Learning skills
Good learning ability of mathematical issues in other courses, by virtue of the comprehension of the logical-deductive character of the discipline.
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Educational objectives Learning goals.
The primary objective is to provide students with basic concepts and procedures of descriptive statistics.
At the end of the course the student must be able to design a small census survey and to conduct descriptive analyses of the data through the use of a statistical software.
Knowledge and understanding.
Upon completion of the course, students know and understand the main procedures of descriptive statistics.
They are able to organize data in simple and contingency tables and to synthesize them through graphical representations.
They know and are able to calculate the most important statistical indicators that measure
(a) position, variability and form of simple distributions and
(b) important aspects of the joint distribution of two variables.
Furthermore, they have acquired the notion of statistical model and are able to implement a simple regression model.
Applying knowledge and understanding.
Upon completion of the course, students are able to apply the knowledge acquired, in order to interpret and critically evaluate the results of descriptive analysis.
Making judgements.
Through a large number of exercises on all the topics covered, students develop autonomous judgment skills that allow to identify the most appropriate methods to solve problems of descriptive statistics and to critically interpret the results of the elaborations provided by the software.
Communication skills Students, through the study and the performance of practical exercises, acquire the technical-scientific language of the discipline, that must be properly used both in the written and in the oral examinations.
Learning skills Students who pass the exam will have knowledge of the fundamental notions for the descriptive analysis of data.
They will also be able to implement simple codes to organize data in tables and synthesize them through graphics and/or calculation of important indicators.
Therefore, they have acquired the basics to learn what will be proposed in the subsequent statistical courses.
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Educational objectives Learning goals.
The primary objective is to learn how to describe simple processes in a formal way, through the definition of algorithms, and to acquire a methodology to evaluate the complexity of an algorithm.
Students must be able to:
- unambiguously define a problem,
- identify precisely which data should be processed,
- how to represent such data,
- how to decompose a procedure in steps that solves the problem.
These skills are expressed through the use of the Java programming language.
Knowledge and understanding.
After attending the course the students know and understand the concept of algorithm and how an algorithm can be expressed using a programming language.
They use the basic constructs of the Java language and are aware of the possibility of solving the same problem with different computational complexity algorithms.
They also know various algorithms for solving basic problems, such as searching and sorting, and some numerical algorithms.
Applying knowledge and understanding.
At the end of the course students are able to formalize algorithms for simple problems, implement them in Java language, passing through all phases: design, writing the source code, compilation, debugging and execution. They know the notations that allow to express asymptotically the complexity of an algorithm.
They know how textual, numerical, and other information can be encoded.
Making judgements.
Students are able to appreciate the difference between solving a problem and formally describing a resolutive process.
They manage to evaluate how different implementation choices can lead to solutions with different efficiency characteristics, applying paradigms studied in the context of basic problems.
Through intense laboratory activities they acquire a greater awareness of the processes underlying the use of a computer.
Communication skills.
Students acquire the formal rigor necessary to use a programming language.
They are able to appreciate and foresee the repercussions, in terms of complexity, of the application of different resolution techniques.
They know how to apply decomposition techniques, in order to reduce the solution of complex problems to the solution of simpler problems.
Learning skills.
Students who pass the exam can analyze the structure of a program, even complex, can easily be productive using any other imperative or object-oriented programming language, can distinguish for which problems an automated solution may exist.
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Educational objectives Knowledge and understanding.
Good theoretical and practical knowledge of differential calculus, integration, power series (real functions of one real variable).
Ability to understand these issues also in the context of other courses.
Applying knowledge and understanding.
Ability to use the acquired skills for solving simple problems and for their use required in other courses.
Making judgements.
Good ability to recognize, frame and set out the resolution of simple problems, selecting appropriately among the methods learned.
Communication skills.
Good presentation skills of basic concepts and techniques of Calculus.
Learning skills.
Good learning ability of mathematical issues in other courses, by virtue of the comprehension of the logical-deductive character of the discipline.
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Educational objectives Learning goals
The aim of the course is to present the basic principles and tools of modern economic theory - both micro and macroeconomics - showing at the same time their empirical relevance. This is achieved by integrating the theoretical exposition with the description of actual features of the Italian economy and of other national economies.
Knowledge and understanding
The lectures aim at allowing students to gain a general knowledge of the essential concepts used in economic analysis and a historical perspective of the development of the main theoretical approaches to the study of the economic system.
Applying knowledge and understanding
Students will learn the main lines of development of microeconomic and macroeconomic theories, including monetary theory, and will have a general view of economic policy.
Making judgements
The course aims at fostering students' ability to apply economic theory and methodology to the analysis of economic facts and of economic policy. These analytical abilities will be such to be also applied to current phenomena.
Communication skills
Frontal teaching and preparation of oral examination allows students to acquire mastering of elementary techniques and of communication skills properly belonging to the fields of economic analysis.
Learning skills
Students who pass the exam will have acquired analytical methodologies which ail allow them to tackle themes proper of other courses and to discuss current economic facts.
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Educational objectives Learning goals
The Course aims to introduce students to the analysis of the main social phenomena characterizing the contemporary society, highlighting the change processes as well as the aspects of innovation they are concerned with. A special focus will be devoted to the issues of globalization and inequality; migration and integration processes; education an employment; technological innovation and communication, according to a gender and generational perspective. Finally, both the analysis and the interpretation of these phenomena will be accompanied by some key methodological issues rooted in different theoretical approaches and paradigms.
Knowledge and understanding
At the end of the Course, students will know the main theories and methodological approach to analyse social phenomena. They will learn the main schools of the classical (the positivism of A. Comte and E. Durkheim, the historical materialism of K. Marx, the comprehensive sociology of M. Weber) as well as the contemporary (the culturalism, the School of Chicago, the functionalism of T. Parsons, the structuralism, the sociology of A. Touraine, the School of Francoforte, the methodological individualism, the habitus of P. Bourdieu) sociological thought. Hence, they will learn the different interpretive perspectives of society, of the socialization processes, of the social change, of employment and education, of family structures, and group dynamics (social, political). This knowledge will enable students to both understand some complex social phenomena and formulate appropriate research questions.
Applying knowledge and understanding
The knowledge acquired enables students to apply theoretical schemes to complex social phenomena, traducing them in concrete research questions, defining objectives and working hypothesis. Moreover, the sociological fundamentals will provide students with the knowledge needed for an in depth interpretation of statistical data related to complex social phenomena. Making judgements Students are constantly involved in active class-work sessions. Indeed, the teaching method aims at encouraging all students, individually or in group, to analyse and critically comment/interpret socio-demographic data of official statistics, in order to develop capacity of synthesis and evaluation with respect to the issues proposed by the lecturer.
Communication skills
The working group and the presentation/discussion of the results of the class activities (comment and interpretation of statistical data and reports) contribute to both the development of communication skills and the acquisition of the specific scientific technical language of the discipline.
Learning skills
The sociological fundamentals acquired during the course will enable students to easily identify further references for an in depth study of those topics of personal interest.
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Educational objectives ObjectivesThis course aims to give students a solid grounding in statistical terminology and to acquaint them with the typical linguistic features and characteristics of standard statistical presentations and publications.Skills studiedProceeding from the elementary skills of interpreting and describing tables and graphs, the course will focus on expository texts ,so as to enable the students gain facility in describing the statistical methods underlying reported data. It is hoped that by the end of the course, the students, with reference to the publications of the Istitutonazionale di statistica , will be able to make competent statistical presentations in English on the economic and social realities of Italy and to respond to questions and requests for clarification thereon.
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