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This course for advanced undergraduate students covers components and biochemical processes of terrestrial ecosystems. Human activities have altered more than half of the ice-free terrestrial ecosystems. Students learn the components of Earth system including atmosphere, ocean, soil, and biota, and understand how these components influence the cycles of elements, water, and energy. Students are expected to discuss temporal and spatial changes of the components and consider the integrated effects of these changes on soil functions at diverse scales ranging from plots, regions, and the globe.
Topics include History of ecosystem ecology, Water and energy balance, Plant photosynthesis: carbon input to terrestrial system, Plant and ecosystem carbon budgets, Terrestrial carbon losses, Terrestrial nutrient cycling, Temporal and spatial dynamics, Anthropocene.
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As the digital platform presents a new way for international expansion, developing an international digital marketing strategy has become a critical challenge for businesses. This course explores the realities and implications of electronic commerce from a marketer’s perspective and introduces a wide range of cross-border e-commerce issues, such as global cross-border trends, cross-border e-commerce practices, and e-commerce ecosystems, the challenges of traditional industry’s digital transformation, online consumer behavior and consumption patterns, omnichannel marketing and major e-commerce platforms in regional markets. In addition, the course introduces the concepts of e-commerce, cross-border e-commerce, and digital marketing practices through the case discussion on the practices of firms and product types to develop students' digital marketing planning and execution capabilities in the cross-border e-commerce marketplaces.
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This course examines the core concepts and research techniques of modern evolutionary biology, including natural selection, evolutionary genetics, macroevolution, and applications of evolutionary ideas to practical questions such as human health.
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This course covers the biology, agronomy, physiology, and ecology of seaweeds, in order to analyze cultivation, ecophysiology, and ecology in marine systems vs. terrestrial systems. Aspects that are relevant in this context are: limits and possibilities of seaweed production in relation to the physical environment (light, temperature, carbon); the importance of salinity for productivity and metabolism; ecological risks and environmental hazards; biodiversity, reproduction and breeding. Assumed Knowledge in PPH10306 Biology of Plants or comparable.
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This course provides introductory theoretical constructs regarding society, organizations, groups, families, and individuals which enable human service professionals to understand and to interact professionally within the context in which professionals work. The content is anchored around the South African Constitution and uses a human rights approach as the overarching theoretical framework.
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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 provides students with a fundamental understanding of the objectives, theory, and application of statistical methods for the production of health indicators. The learning process includes an updated overview of the aims and definitions adopted internationally to monitor population health and health care, particularly at EU level. The course provides detailed explanations on the statistical methods applied for the continuous improvement of health and social policies, with practical examples showing how to produce indicators from large databases using R software.
This course supports the student toward a fundamental understanding of the societal value of health information and the methods and tools used to report, evaluate, and continuously improve policies. In particular, the course presents solutions to current challenges involving the use of large scale routine databases available at the national and international level. Practical cases of data analysis are presented using relevant statistical software. Issues in the correct communication of health statistics are also discussed. At the end of the course, the student is able:
- to calculate and interpret health indicators used in regional, national and international reports (in particular, the EU European Core Health Indicators, European Sustainable Development Indicators and State of Health in the EU): from life expectancy to quality of care, access and efficiency measures.
- to apply advanced techniques for health systems performance evaluation: from risk adjustment and standardization through the use of multivariate models (generalized linear models, generalized estimating equations and multilevel models), to modern approaches using person-centered statistical models (risk prediction and stratification for population health management).
- to apply principles of study design (experimental vs observational) and analytical techniques (e.g. propensity scores, difference-in-difference) to plan and evaluate treatments and policies.
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This course provides students with a comprehensive, critical analysis of fashion. It provides historical context for the emergence of the fashion industry, examines theories that account for its development and the role it plays in modern societies, and explores critical responses to key issues facing the industry today. The course critically examines the idea that the emergence of fashion both shapes and reflects modern culture and society. From a historical perspective, and in terms of western fashion specifically, this means understanding how fashion has moved from being the preserve of an elite practice to an everyday one, charting its movement from courtly societies in Europe to 20th century spread of fashion to the high street and to subcultural fashions, and from a system of style controlled by a small group of elites (couture designers for example) to street style worn by "influencers." The course also explores the industry from a global perspective, challenging standard of classical narratives about fashion and decolonizing our understandings of the industry, to think about the different ways in which fashion has emerged, developed, and is engaged with and around the world.
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This course is intended for undergraduate students in the Department of Brain and Cognitive Sciences who have some background knowledge in Neurobiology and Behavioral science. This class covers the basics of cognitive neuroscience. Cognitive Neuroscience is a subfield of neuroscience that examines behavioral and neurobiological foundations underlying cognitive functions including perception, movement, attention, learning and memory, emotion, language, decision-making, and social cognition.
Students will explore the methodology of cognitive neuroscience and its applications to investigation of human behavior and decision. The course focuses on 8 major functions of the brain: Perception, Movement, Attention, Emotion, Memory, Executive functions, Decision-making, Social cognition. Students are expected to actively participate in questions and answers, debates, and discussions during class.
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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. This course explores market design, auctions, negotiation strategies, and behavioral economics with a focus on real-world applications and practical experiments. Students gain insights into how markets function, learn negotiation techniques, and analyze human behavior in economic decision-making through hands-on experiments and class discussions. At the course completion, they are able to confront real-world business challenges with confidence and insight, armed with a robust skill set that combines theory, practice, and the science of human behavior.
Students learn about different auction types, their theoretical foundations, and practical implementations. Negotiations, another crucial component of market interactions, involve discussions to reach mutually acceptable agreements. The course covers various negotiation techniques and strategies to improve outcomes. Understanding market design, auctions, and negotiations is crucial for ensuring efficient and fair resource allocation, making strategic business decisions, and developing effective negotiation skills. Behavioral economics provides insights into human decision-making, helping to predict and influence behavior in market settings. This knowledge is vital for professionals in business and economics, policymakers, and individuals aiming to improve their negotiation skills and influence market dynamics. By the end of the course, students possess a robust skill set combining theory, practical applications, and behavioral insights, enabling them to confidently tackle real-world business challenges.
Topics covered in the lessons include: market design, auction theory, applications of auction theory, negotiation and bargaining, behavioral economics, cognitive biases and heuristics, behavioral economics in market design, real world applications and case studies. Prerequisite Knowledge: To successfully complete this course, students should have a foundational understanding of microeconomics, including concepts such as supply and demand, market equilibrium, and basic game theory. Prior coursework in introductory economics or business studies will help in grasping the more advanced topics covered in market design, auctions, and negotiation strategies. Additionally, an interest in behavioral economics and a willingness to engage in hands-on experiments and class discussions will enhance the learning experience.
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This colloquium prepares students for writing their bachelor’s thesis by guiding them through research design, literature review, theory development, and academic writing. Students learn to formulate strong research questions, identify research gaps, and structure their projects effectively. Through discussions, workshops, and peer feedback, the course builds essential research and analytical skills for successful independent thesis work.
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