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This course examines futures studies, a field vital for tackling complex issues in business, government, and society. Students will work individually and in teams to respond to a challenge set with the City of Sydney council to explore and propose a future worth wanting set in "Sustainable Sydney 2050." Students will learn and apply practical techniques and theoretical frameworks to: examine how change happens in complex systems, identify and interpret emerging signals of change, and engage peers and partners in exploring possible futures. Students will also critically reflect on how their values and personal perspective, and those of individuals, communities, and organizations, shape the way we imagine and create futures worth wanting.
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This course explores the historical evolution of regional economic integration, its practice across continents, and its political, economic and social impacts on countries and regions. From the European Union to USMCA, ASEAN, MERCOSUR, GCC to the African Continental Free Trade Area (AfCFTA), regional blocs are redefining the rules of global trade, mobility of labor, governance, power, and identity. This course examines the questions: Why do countries choose to integrate? What are the diverse factors that determine the formation of regional economic blocs across continents? Are the contemporary trends reflecting a rise in regional integration efforts?
This course combines economic theory with real world case studies to help students understand the sectoral benefits and challenges of regional cooperation by analyzing agriculture, industrial, environmental and social policies.
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This course aims to cultivate and improve students’ scientific research abilities, and therefore its teaching contents are divided into three modules: Part I: Scientific Research Methods; Part II: Academic Paper Writing Skills; and Part III: Essentials of Academic Paper Publication. Through the course, students will experience the entire process from raising a scientific question to obtaining research results, writing, and publishing academic papers, thus receiving comprehensive training.
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This course is an introduction to the analysis of algorithms and data structures. It covers common abstract data types and their implementations, asymptotic complexity analysis, sorting and searching algorithms, depth-first and breadth-first search and applications, and graph optimization problems.
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This course develops skills in the application of learning analytics to instructional design. The class applies procedures of computer-mediated discourse analysis to generate learning analytics, while addressing popular concepts and their misconceptions, such as “big data” and the misnomers surrounding “qualitative and quantitative research.”
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This course examines the integration of social impact into business operations, focusing on positive social and environmental change. It explores the link between a company's mission, its activities, and their societal and environmental effects from various disciplinary angles, including accounting, economics, and marketing, as well as Indigenous and global viewpoints. It covers the challenges and opportunities of leveraging market forces for economic and social value creation.
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This course will briefly summarize the fundamental knowledge of linear algebra, statistical probability and distribution theory, python programming language and databases. In addition, this course will introduce the main workflow and concepts in machine learning, including supervised learning, unsupervised learning, regression, classification and some mainstream algorithms. Importantly, some representative examples of machine learning in material science will be introduced. Meanwhile, the importance of quantum chemistry and molecular dynamics simulations in machine learning will be emphasized at the end.
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The course covers the foundational mathematical techniques (algebra, matrices, and calculus) required to understand finance, with an emphasis on applications (time value of money, portfolio optimization, and derivative securities).
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This course focuses on utilizing a computer to master mathematical skills. Starting with the basic usage of Octave (or MATLAB), the class instructs on how one can solve various mathematical problems by writing and executing simple programs.
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The students learn to interpret and understand the process of globalization from the viewpoint of international trade in goods and services and factor movements. They learn the causes and consequences of international trade, the effects of trade policies, the causes of international factor movement and multinational operations, and the role of the World Trade Organization. Upon completing the course, students have acquired an empirical and theoretical understanding of the complex issues raised by the economic interdependence of nations and to analyze them in a systematic way.
The course initially focuses on international trade theory and policy, addressing classic questions such as: who trades what with whom? What are the effects of trade on welfare and income distribution? How do micro-aspects influence international trade? The course explores these questions through the lenses of both classical and new trade theories. This theoretical journey concludes with an overview of recent research on the role of heterogeneous firms in international trade. Subsequently, the course applies these models to examine various aspects of globalization, including the role and impact of multinational companies in developed and developing countries, migration, and protectionism.
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