English

This course examines cutting edge concepts in genetics, genomics and evolution: genome structure (the components and organization of genomes), genomics (genome sequencing and annotation), genome variation and the forces that shape it (mutation, recombination and genetic drift) and applications of genomics (conservation genomics, host-pathogen interactions, genome engineering, and systems biology). Multiple aspects of genome biology will be studied and integrated to understand how genomes function and evolve. Core concepts and methods in genomics, molecular evolution and gene regulation will be supported by an integrated set of workshops, science communication tasks and bioinformatics analysis. Modern research methods will be applied to the analyses of differential gene expression in RNA sequencing datasets.

This course examines the historical precedence to some of the philosophical issues with reference to ancient Greek Philosophy. Three philosophers will be examined, with major emphasis on Plato and Aristotle. The focus will be mainly on metaphysical and epistemological aspects as discussed by those major classical philosophers.

By teaching the basic concepts, basic theories and practical applications of fluid mechanics, students will be able to enter flow-related professional studies, scientific research or engineering design to lay a solid foundation in fluid mechanics.

This course focuses on training students' comprehensive and detailed observation and computational analysis skills of flow phenomena, and cultivates students' scientific thinking methods to grasp the key points from the complex fluid movements and then extract fluid mechanics models from the basic principles. Actively guide students to pay attention to the understanding of physical concepts and the nature of flow, and learn from theory and practice through the study of engineering examples.

This course takes a comparative perspective to look into early Chinese and Daoist philosophy. It starts with textual reading, follows with comparative ideas, including freedom and fate, illness and death, disabilities and social exclusion, war and peace, tolerance and toleration, language and social practices, etc. It focuses on group discussions, and research methodology.

This course considers the ways that science and technology shape the relationship between humans and the environment. Students examine a number of topical historical and contemporary cases and in the process reflect on the role played by science and technology in how societies understand nature and environment. Themes to be dealt with include science and cultural uses of natural resources; sociology of climate science; science, technology, and international development; science and public understandings of environmental debates; science, knowledge, and power; and environmentalism. Students approach these themes by studying various environmental topics, often reflecting current events.

This course introduces and develops a financial geography perspective, understood as the study of the spatiality of money and finance, and its implications for the economy, society, and nature. It introduces students to the complexity and controversy of financial globalization, vocabulary of finance, drawing on research relating to the global financial system, financial centers of London, New York, Shanghai, and Singapore, and their geographical footprint. 

This course provides students with an in-depth understanding of innovation and its dynamics. It explores the determinants of innovation, drawing on theories to examine how and why innovation occurs, and the types of innovation that may emerge from different political economy perspectives and institutional frameworks. Part of the course involves examining policy evaluation and design, specifically discussing how to provide policy advice that considers the complex societal ecosystem, including societal hopes and fears.

This course examines some ethical questions concerning such issues as: medical paternalism, eugenics and designer babies, organ donation, experimentation on humans and animals, and refusal of medical treatment.

This course offers an introduction to Python programming following the structured and object-oriented paradigms. Topics include: flow diagrams; data, operators, input, and output; flow control--conditionals and loops; simple data structures; functions; object oriented programming; algorithms, recursion, and computational complexity.

This course provides an overview of the applications of big data for decision making from a capital market perspective. As the data storing costs decrease and processing capabilities increase, capital market participants have started to look beyond the traditional financial statements (the balance sheet and income statement etc) to assist their decision making. This has important implications for both reporting firms (i.e., the information producer) and their investors (i.e., the information consumer). The course is to cover the most recent and most important developments in this field.