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This course covers human-computer interaction (HCI) design methods and principles. Human-computer interaction deals with the design of interactive systems to support the ways people communicate and interact in their everyday and working lives. The central goal of HCI is to develop usable systems that are easy to learn, effective to use, and offer an enjoyable experience.
In this course, students explore well-known design principles on usability aspects (e.g., learnability, efficiency, human errors) and design methodologies (e.g., user-centered design, task analysis, prototyping, heuristic evaluation, and user testing). Design assignments and term projects help students enhance their user interface design skills in web, mobile, and IoT environments.
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This course introduces feminist perspectives into established aesthetics by illuminating the systematic elimination of sex, sexuality, and the body from conceptual frameworks such as beauty, the sublime, pleasure, and reason. At the same time, the course analyzes and critiques artwork and practices from feminist perspectives, examining art produced or performed by women.
The main concepts of modern aesthetics, such as 'beauty', 'hobbies', 'art', and 'genius', were surprisingly not evenly distributed to everyone. In other words, they were ideological, sometimes very gendered. As a result, there were people who questioned these aesthetic concepts, and these questions provided a place for a new view of new art. In this lecture, starting from the question of the gender ideologies hidden by the basic concepts of aesthetics, we examine the novelty opened up by feminist aesthetics with a focus on contemporary art, and furthermore, we will glimpse the future imagined by feminists' posthuman-centered thinking.
Topics include body and mind, subject and object, the debate of nude representation, beauty and the sublime, theory of genius and romanticism, gender in modern aesthetics, art as other, woman as other, modernism, rethinking body, abject body, queering body and performativity, anti-human, non-human, and posthuman, and more.
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This course provides students with an overall view on the state of the earth's ecosystems, their health and biodiversity, as well as the problems resulting from anthropogenic impacts. Furthermore, the student acquires notions about the conservation methods of ecosystem health. The course contents focuses on the following aspects:
- Brief history of the conservation of ecosystem diversity.
- Distribution and diversity of global ecosystems. Spatial and temporal gradients of ecosystems. Importance of biodiversity for the functioning of ecosystems, ecosystem functions, processes, and global health.
- Threats to Earth’s ecosystem diversity, mass extinctions, and global changes.
- Processes of overexploitation, degradation, and contamination of ecosystems.
- Conservation methods of ecosystems. Social, economic, and political elements for ecosystem conservation.
- National and international strategies and case studies, protected areas, ecological corridors, rewilding, and other approaches to conserve ecosystem health.
- Outline of modern technologies in support of ecosystem conservation.
- Examples of success practices in ecosystem conservation.
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This course covers economic development in various regions of the world and introduces students to major development problems and policies, both domestic and international. Students explore and analyze models of economic growth, population growth, poverty, income distribution, urbanization and rural-urban migration, health, education, the environment, and international trade and finance, problems of debt burdens, foreign aid, and private and foreign investment. Topics include Economic Growth and Development, Growth Models, Poverty, Income Inequality and Development, Population Growth and Economic Development: Causes, Consequences, and Controversies, Rural and Urban Migration: Theory and Policy, Human Capital and Economic Development, Agricultural Transformation and Rural Development, The Environment and Development, Trade and Economic Development, The Policy Debate: Export Promotion, Import Substitution, and Economic Integration, Balance of Payments, Developing-Country Debt, and Macroeconomic Stabilization Controversy, Foreign Finance, Investment, and Aid: Controversies and Opportunities, and Finance and Fiscal Policy for Development.
Prerequisite: Introductory economics
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Persistent gender and other inequalities in education, employment, income and other resources, including technology use, continue to deter adults and children from attaining their full potential in many parts of the world. Although there is some progress in addressing inequalities across the world, rapidly increasing access to digital devices and platforms in many parts of the world poses new challenges. This course addresses three interrelated questions about the drivers of digital inequality, how they are patterned across gender, racial, and ethnic identities as well as how they intersect with other forms of social inequalities. A strong emphasis is also placed on novel strategies for tracking and confronting these inequalities to attain a more just and equitable society for all.
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This course studies factors that drive entrepreneurs and the entrepreneurial process. The course starts by exploring the process dynamics of entrepreneurial activity. Then explores the origins of entrepreneurial opportunity, reviewing how entrepreneurs screen and develop the opportunities that they discover, and unravel how entrepreneurs seek to appropriate the returns from their enterprising behavior and benefit from or contribute to entrepreneurial networks and ecosystems. Focus is placed on new venture gestation: the initial stages of the process that may result in a new company to emerge. Throughout the course, explore how entrepreneurs not only rely on generic business management principles, but also how they cope with the uncertainty, risk, scarcity of time, capital and other resources that is inherent to all entrepreneurial venturing. Prerequisites SSC1005 Introduction to Psychology or SSC1029 Sociological Perspectives or SSC1027 Principles of Economics or a first-year undergraduate business course.
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This course was designed for non-biology majors to show how biology is used to teach essential ideas, such as whether DNA is sufficient to create life; how life evolves; what cloning is, and how bionics could improve or impact our future life. Additionally, the class explores public misconceptions and naivete about science perpetuated by movies and the extent to which such films borrow from or, in some cases, even predict scientific facts.
This course requires weekly screenings of a feature-length movie before the lectures in the classroom. Films and topics are organized around biological themes.
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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 is able to choose and use recent methods for web and social mining. In particular the student is able to extract knowledge from the web and social media by applying machine learning techniques to analyze associations and carry out clickstream, sentiment, text mining, and network analysis. The student is able to: use methods for extracting knowledge from the web; use recent data mining software for solving practical problems of web mining; and has the experience to carry out independent study and research. Lectures and laboratory exercises using R software.
The course is divided into 4 parts: Aims and steps of web mining; Data extraction; Text mining; Analysis of Social Networks
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The course equips practical experience and skills in analyzing data, using statistical techniques frequently used in the sciences. The skills include designing experiments, choosing appropriate statistical methods for visual display and statistical modelling of data, model checking, interpretation and reporting of statistical results, and understanding of limitations of statistical methods and data. Topics covered include Introduction to statistical notation, linear regression, design and analysis of experiments, generalized linear models. Strong emphasis on the practical application of the above methods, using open-source statistical software such as R. Course entry requirements: A pass in STA1000F/S or STA1006S or STA1007S or STA1106H or STA1100S or STA1008F/S) and (MAM1000W or MAM1031F or MAM1033F or MAM1004F/S or MAM1005H or MAM1010F/S or MAM1020F/S or MAM1110F/H).
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This course covers processes and techniques that help corporate managers make financial decisions in an international setting.
Instead of introducing fundamental international finance concepts in a simplified one-country setting, this course takes a global approach and studies different nations (with each their own currency) who interact politically, economically, and financially.
Students examine qualitative and quantitative financial methodologies for making major financial decisions in the international business setting and learn to identify global issues and trends in both academic and practical areas of international finance.
Prerequisite: Financial Management
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