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This course examines the study of language meaning and looks at meaning of natural languages through a scientific lens.
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This course introduces students to a number of major similarities and differences between English, Germanic languages, Romance languages, Mandarin Chinese, Cantonese, Japanese and other languages of interest. Emphasis is on the basic grammatical characteristics of these languages, the general principles that determine their common characteristics, and the parameters that give rise to linguistic variations. The course explores the common properties and systematic syntactic variation of human languages under the Principles & Parameters model (P&P) of the generative syntax.
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This online course examines the Japanese language. It covers pronunciation of 'Kana' and simple daily life communication topics to express food, interest/hobby, shopping and places to go in Japan.
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This online course examines the German language and culture through a virtual journey.
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This course examines English as a historical, sociocultural, ideological and personal reality for Hong Kong speakers. It covers the legitimacy of Hong Kong English (HKE) as a variety in its own right and its sociolinguistic backing; the attempts at drawing up a phonology and a morphosyntax of HKE as well as the complications involved; the current standing of HKE in comparison with the ‘inner-circle’/‘standard’ varieties (British and American English) and other varieties (e.g., other Asian Englishes); and the values of HKE as an ideological concept, a fiction, and/or as protean yet homely, lay experience.
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This course will study the design and analysis of exact and approximation algorithms for various optimization problems using advanced techniques such as combinatorial methods, probabilistic methods, linear programming, semidefinite programming, and spectral methods. The course also covers spectral algorithms and related convex programs, SDP duality, multiplicative weight update, graph spectrum, eigenvalue interlacing, Cheeger–Alon–Milman inequality, random walks, local graph partitioning, expanders, Laplacian solver, effective resistance, sparsification, matrix scaling, abstract simplicial complex, and random spanning trees.
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