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This course offers practical training in data science, focusing on high-dimensional data computing and dimension reduction algorithms. The characteristics of this course are the hands-on experience with high-performance computers and the observation of real data from a statistical perspective. Practical exercises will be conducted on high performance GPU servers on the cloud, possibly utilizing resources such as the NVIDIA V100 from our NTU or Google Colab. In addition to the hands-on exercises, statistical theories related to dimension reduction algorithms, data visualization, and data interpretation are introduced. The Python programming skills are taught during the first month as part of a combined and quick recap course. The course is taught in English, but bilingual Q&A sessions are acceptable.
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This course examines the general principles and techniques related to electromechanical product design and development. Topics include: product design and manufacturing process; methods and tools used for designing and developing electromechanical products; tooling design; design for manufacture and assembly; product costing; and value engineering.
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Negotiation is a cornerstone skill in both personal and professional realms, influencing outcomes from business deals to interpersonal relationships. By adopting the Harvard Negotiation Project framework, this course aims to empower students with the knowledge, strategies, and practical techniques necessary to excel in various negotiation scenarios, fostering mutually beneficial agreements and sustainable relationships. Topics include the basic principles of negotiation, development of effective communication skills, application of analytic frameworks, and navigation of power dynamics, which will allow students to foster the needed skill sets for successful negotiation.
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This course explores the use of ChatGPT, a large language model, as a tool for engaging with philosophical questions and problems. The course instructs how to interact with ChatGPT to generate responses to philosophical questions and covers a range of topics on the philosophy of space. For instance, the course seeks to answer the questions: Does space exist like a substance in its own right, or is it nothing but spatial relationships between objects? Are there objective facts about the geometry of space, or are they in some way conventional?
Overall, this course aims to develop students' critical thinking and analytical skills by providing them with a unique opportunity to engage with philosophical questions using cutting-edge technology.
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This course discusses the basic principles and practical applications of bioinformatics. The course discusses the processing power of computers to effectively solve data analysis in biomedical research, the application analysis of biomedical databases, and biomolecular structure analysis and functions prediction.
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This course is a continuation and extension both in materials and depth of Fluid Mechanics I, which is a fundamental and required course of the Department of Mechanical Engineering. This course provides students with a clear picture and explanation of flow phenomena but also enhance their capability of analysis of engineering problems. This course covers the following topics: Kinematics of Fluids; Governing Equations; Elements of Ideal-Fluid Flow; Viscous Flow Theory; Elements of Turbulent Flow; Steady One-Dimensional Compressible Flow, and Oblique shock and Expansion Waves.
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Digitization and the internet lower the cost to collect, disseminate and analyze data. This course explores how digitization affects interactions between people, firms and governments. It examines how institutions and regulations can and do respond. Topics include privacy, social networks, network effects, online platforms, recommendation algorithms, reputation mechanisms, search, matching and digital payment systems. Advanced economic theory, especially tools from information economics, are used to explain features of the digital economy and suggest policy recommendations.
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This course considers how intrinsic war is to human nature (the Hobbes/Rousseau debate), the causes and escalation of conflict, the conduct of warfare, its physical manifestation and immediate outcomes. The focus is on small-scale societies of prehistoric and recent date, using archaeological information and ethnographies of conflict to study and define "primitive" war as an anthropological phenomenon. The course takes a comparative, evolutionary, and historical perspective, to look at the broader impact of war and conflict in a sample of early and indigenous societies.
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This course combines political philosophy and critical thinking and debate in English. It contains six modules: justice, order, prosperity, market, polity and civilization.
Students will learn about classical theories and the development of political philosophy, how to cultivate critical thinking, argumentative strategies and academic presentation ability and to develop incidental and implicit English acquisition in the exploration of academic subjects.
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Phonology is the ability of the human brain to organize speech sounds. This course explores different aspects of phonology within generative linguistics, using rule-based frameworks in the tradition of Chomsky and Halle’s (1968) Sound Pattern of English. The course discusses phonological representations, phonological features, phonology-morphology interaction, syllabification, and stress assignment.
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