Hong Kong

Culture is everywhere and it is inevitable that people construct reality through their own cultural lens. However, in this globalization era, people often have many cultural lenses. Through understanding the impact of globalization on cultures and societies, nuanced understanding of how people from different cultures construct reality are developed. Many scholars and activists argue that globalization will lead to a worldwide homogenized consumer culture dominated by Western values. Others believe that globalization can lead to the clashes of incorrigible cultures. Meanwhile, globalization has catalyzed formation of new hybrid cultures and fostered the blooming of creative cultural industries. Course topics include: culture and global culture; histories of cultural globalization; cultivating cultural awareness; de-territorialization, re-territorialization, and transnationalism; organizing social campaign globally; homogenization; hybridization; how people react and adapt to increasing globalization and multiculturalism; cosmopolitanism; and cultural exchange and integration: ethnic minorities in Hong Kong. In this course, we explore the above topics through understanding the effects of globalization on personal identities, the economy, consumerism, and communication in the immediate and distal environment.

Preference, utility and consumer choices; choices under uncertainty, introduction to game theory; theory of the firm; market structures; introduction to economics of information. Topics include consumer theory and the demand for goods, producer theory and the supply of goods.

This course examines diverse approaches to negotiation in a cross cultural context; the practice of collaborative and interest-based negotiation; effectively preparing for a negotiation; and facilitating the three consecutive phases of negotiation: preparation, information sharing and decision making.

This course examines the core ideas and concepts and principles of limits, differentiation, and integration of functions in multiple variables, vector analysis. It teaches students to apply the rigorous, analytical and numeric approach to analyze and solve problems using concepts of multivariable calculus. Course topics include: differentiation in several variables, with applications in approximation, maximum and minimum, and geometry, integration in several variables, vector analysis.

This course is the second of a series of two general physics courses which employ a calculus-based approach. Key topics include: electric charge and field; Gauss' Law; electric potential; capacitance and dielectrics; current, resistance and EMF; direct-current circuits; magnetic field and magnetic forces; sources of magnetic field; electromagnetic inductions; inductance; alternating current; electromagnetic waves; nature and propagation of light; interference; diffraction. Pre-requisite: single-variable calculus Text: Sears and Zemansky, UNIVERSITY PHYSICS WITH MODERN PHYSICS. Assessment: homework (10%), quizzes (40%), final exam (50%).

The ocean is the largest life-supporting habitat on Earth, and yet, it is less explored than the surface of the moon. This survey course introduces the fundamental, cross-disciplinary knowledge of our ocean from its formation, to the physics in circulation and climate modulation, to the chemistry and biology of the living systems within.

This course is a continuation of ARAB1001. Arabic I.1. Vocabulary and grammar will be presented in context covering a variety of situations. The emphasis will continue to be on the spoken language, as well as on providing a solid foundation in written Arabic. Small tutorial groups are arranged throughout the semester to optimize opportunities for interactive practice.

The course introduces basic statistical techniques and terminology used in analyzing business data and their application to functional areas of business. The course is divided into seven areas: descriptive statistics, probability and probability distribution, discrete and continuous probability distribution models, sampling distributions, hypothesis testing, two-population inferences, and regression analysis and modeling. Topics covered include collection, tabulation, and presentation of numerical data; concepts of probability and probability distributions; sampling; statistical estimation and hypothesis testing; and correlation and regression analysis.