Hong Kong

This course is designed to develop the ability to analyze and critically evaluate arguments from a logical point of view. It provides a basic understanding of such concepts as reasons, implication, validity, and fallacies. It teaches the logical principles of deductive and inductive inferences and the techniques of applying them for determining the validity of arguments. Elements of good reasoning from an informal perspective are covered.

The course examines computer architecture, memory management, machine and assembly language and computer programming design. Other course topics include: data representations; instruction sets; machine and assembly languages; basic logic design and integrated devices; the central processing unit and its control; memory and caches; I/O and storage systems; computer arithmetic. 

This course examines the full spectrum of energy systems used in modern society, including fossil fuels and renewable energy sources, with attention to power generation technologies, energy security, and sustainability challenges. Topics include energy conversion, utilization, and storage for renewable technologies such as wind, solar, biomass, fuel cells, and hybrid systems, grounded in fundamental thermodynamics concepts. The course also explores energy-efficient technologies in buildings, products, manufacturing, and infrastructure, as well as the environmental and social impacts of energy use. Through case studies and discussion, the course addresses debates and misconceptions surrounding sustainable energy systems, energy entrepreneurship, and the role of renewable energy in mitigating climate change and supporting contemporary lifestyles.

Business decision making involves considerable complexity and uncertainty. This course introduces the basic concepts in quantitative business analysis and the key elements in the decision making process. The course examines methods that are used extensively in business organizations. These methods provide the tools and the skills to approach, analyze, and solve problems of varying scales. Course topics include: basic probability and statistics; queuing theory; decision theory; regression models; linear programming; inventory control models; supply chain management; and game theory.