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The course examines how meaning is socially constructed through media. Semiotic analysis reveals the meanings of various signs which may be overlooked in everyday life and to open up the possibility of different interpretation.
As an introductory and interdisciplinary course to the study of media and culture, classes will incorporate academic approaches from both the social sciences as well as the arts and humanities. The primary goal of the course is to broaden perspectives to become effective citizens who can critically engage various issues pertaining to contemporary media and culture.
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This course introduces fundamental concepts of econometrics and data analysis that form the basis for data driven decision making, empirical analysis of causal relationships, and forecasting. It covers matrices and their use in linear regression analysis, probability distributions and their role in carrying out valid data approximations, and estimation methods and their importance in producing credible results of any data analysis. The course also introduces programming with R, which is the main programming language of statistical computing. It starts out with basic R operations and then, with time, students learn about ways to write their own functions in R.
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This course is part of the Laurea Magistrale degree program and is intended for advanced level students. Enrollment is by permission of the instructor. The course addresses the relationship between archaeology, media, and the public in the complex process of archaeological communication. The first part of the course examines the individual concepts and the evolution of archaeological communication over time, with a specific focus on the last twenty years and the role of digital dissemination. The second part of the course considers the specific case of the KALAM Project, specifically the different ways of communicating to the public the archaeological realities present in the territory of Samarkand, Uzbekistan.
By the end of the course students have an in-depth knowledge of the relationship between archaeological research, cultural heritage, media (meaning both traditional and new digital media), and the public. They will be critically aware of the strategies of communication and dissemination of archaeological knowledge adopted by the various people involved in the job of dissemination and enhancement. The knowledge acquired makes students proficient in assessing, monitoring, and reporting in the media on communication activities relating to archaeology and cultural heritage.
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This course is an introduction to the theories and issues in the international public policy, focused primarily on economic policy, given how critical this issue is to domestic and international cooperation. In particular, the course examines the political, economic, and social conditions conducive to the development of cooperative behavior on a global scale. The main questions and puzzles in this sub-field, and the discipline's best answers to date, will be covered.
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This course examines a variety of social and cultural issues analytically as well as critically. Focusing mainly on Japanese culture and society, this course requires students to read books written on topics such as groupism, communication, government bureaucracy, environmental protection, the education system, gender relations, internationalization, and/or political culture. Students will write short papers, participate in discussion, and make a group presentation. In 2025, the course focuses on cities in the developing world.
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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 has a wide knowledge of the most important statistical techniques employed for forecasting and prediction purposes in modern business activities. In particular the student is able to: select the most appropriate predictive model to solve the business problem at hand; analyze the data and perform predictions using the statistical software R; report the results in a proper format for the business management. The course content includes: a probabilistic approach to the business prediction and forecasting problem, evaluation of predictions and forecasts, linear predictors, and forecasting models.
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This course is part of the Laurea Magistrale degree program and is intended for advanced level students. Enrollment is by permission of the instructor. In this course students learn advanced topics in the Python programming language. At the end of the course, students will be familiar with some of the most largely diffused Python's libraries and tools. More specifically, students will have acquired the knowledge of fundamental topics about i) optimization routines and ii) about the following libraries: NumPy (support to numerical calculus), SciPy (wide range of algorithms for optimization and many other classes of problems), Pandas (data analysis and manipulation tool), Statslib (tools for statistical and time series analysis).
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Prerequisites: The student must be confident with the knowledge regarding the following topics: human anatomy, physiology, and general mechanisms of diseases.
At the end of the course, the student will be able to take the patient history, perform the physical examination, formulate the diagnostic hypotheses and set up an appropriate diagnostic-therapeutic procedure for patients suffering from thoracic diseases, endocrine glands, esophagus, stomach, small intestine, large intestine, anus, liver, pancreas, spleen, abdomen, peritoneum, skin, soft parts and breast, as reported in the program in full.
Course topics include: Introduction to surgery (surgical risk, complications); Shock (classification, management principles); Infections of surgical interest; Benign and malignant diseases of the esophagus (including principles of surgical therapy); Benign and malignant diseases of the stomach (including principles of surgical therapy); Benign and malignant diseases of the small intestine (including principles of surgical therapy); Benign and malignant colorectal diseases (including principles of surgical therapy); Proctology (including principles of surgical therapy); Benign and malignant diseases of the liver and biliary tract (including principles of surgical therapy); Benign and malignant diseases of the pancreas (including principles of surgical therapy); Hernias of the abdominal wall and incisional hernia (including principles of surgical therapy); Diseases of the diaphragm (including principles of surgical therapy); Skin cancers (including principles of surgical therapy); Benign and malignant breast diseases (including principles of surgical therapy); Soft tissue tumors (including principles of surgical therapy); Tumors of the peritoneum (including principles of surgical therapy); Endocrine surgery (including principles of surgical therapy); Diseases of the mediastinum (including principles of surgical therapy); Lung tumors (including principles of surgical therapy); Acute abdomen (general framework, etiology, management principles); Diseases of the spleen (benign and malignant); Traumatology (general framework, management principles); Transplantation; Bariatric surgery; Vascular surgery; Critical care medicine; Plastic and reconstructive surgery.
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The course analyses accounting practices and processes from the point of view of investors. The course examines revenue recognition, tangible and intangible assets, the reporting of financial instruments, off-balance-sheet accounting, stock-based compensation, as well as, issues related to the differential approaches to measurement including historical cost and fair values. However, the exact composition of the topics may vary from year to year driven by the latest developments in financial reporting, standard-setting and related debates. The course enhances students’ understanding of contemporary issues in financial accounting. Throughout the course, taken-for-granted “wisdoms” are evaluated and challenged.
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This course covers the major events that have shaped the US-China relationship today (ping-pong diplomacy, the US-China trade dispute, Tiananmen Square, and COVID-19) and how they have affected the US-China relationship. The course examines events from an objective perspective based on data. Students explore the idea and definition of data and examine data analysis methodologies and how to apply them.
Based on the past and current relationship between the two countries, the course ultimately discusses the future relationship between the two countries and their impact on the globe.
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